Journal articles: 'Power System Islanding'

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Hake, A. G., S. B. Chavan, and R. K. Kamat. "Design and Implementation of an Embedded System for Islanding Detection and Control Action in PV Inverter system." Journal of Physics: Conference Series 2325, no. 1 (2022): 012027. http://dx.doi.org/10.1088/1742-6596/2325/1/012027.

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Abstract Many countries utilize hybrid energy systems for power generation. Transmission lines are used to deliver electricity to remote places from a variety of sources. During islanding, power lines are broken or damaged by natural or man-made causes. If not detected, animal life may be endangered. This paper presents anti-islanding technique that can be used to detect and prevent islanding. In this work, a prototype is developed using microcontroller for an anti-islanding PV inverter control system. The system detects islanding and disconnects the load from the source inverter and switches off the inverter. This technique continuously monitors the output power. A sudden drop in output power is indicative of islanding. The system immediately isolates the PV inverter from the output load and switches off all processing devices. A relay is used to isolate the PV inverter from the load. In the system developed here source isolation time is equal to relay switching time.

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Sirige, Sindhura S., Sallena Choudhury, and Jayalakshmi N. S. "Islanding detection of distributed generation systems using hybrid technique for multi-machine system." International Journal of Power Electronics and Drive Systems (IJPEDS) 11, no. 4 (2020): 2046. http://dx.doi.org/10.11591/ijpeds.v11.i4.pp2046-2054.

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Due to depletion of conventional fuels and increase in power demand, many renewable energy sources are being integrated into the electrical grid. One of the major concerns with this integration of these renewable sources with utility grid is unintentional islanding. Many techniques have been proposed to detect unintentional islanding, all of them trying to comply with the IEEE standard 1547. This paper presents an analysis of the hybrid technique to detect the islanding condition of the power system with multi-machine systems. This work aims at analysing the technique against increasing size of the system with increasing number of distributed generators by including practical voltage unbalance formula. The validity of this detection technique is verified using IEEE standard test power systems in MATLAB platform. This method can be used to identify multiple islanding conditions effectively. The simulation results show the effectiveness of the technique to detect islanding condition for multi-machine systems.

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Sindhura, S. Sirige, Choudhur Sallena, and N. S. Jayalakshmi. "Islanding detection of distributed generation systems using hybrid technique for multi-machine system." International Journal of Power Electronics and Drive System (IJPEDS) 11, no. 4 (2020): 2046–54. https://doi.org/10.11591/ijpeds.v11.i4.pp2046-2054.

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Due to depletion of conventional fuels and increase in power demand, many renewable energy sources are being integrated into the electrical grid. One of the major concerns with this integration of these renewable sources with utility grid is unintentional islanding. Many techniques have been proposed to detect unintentional islanding, all of them trying to comply with the IEEE standard 1547. This paper presents an analysis of the hybrid technique to detect the islanding condition of the power system with multi-machine systems. This work aims at analysing the technique against increasing size of the system with increasing number of distributed generators by including practical voltage unbalance formula. The validity of this detection technique is verified using IEEE standard test power systems in MATLAB platform. This method can be used to identify multiple islanding conditions effectively. The simulation results show the effectiveness of the technique to detect islanding condition for multi-machine systems.

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Su, Guang, Jinyuan Shi, Shengli He, Tao Han, Biaolong Su, and Hongwei Du. "Design of Function of Anti-islanding in Novel Power Distribution System with Distributed New Energy Access." Journal of Physics: Conference Series 2477, no. 1 (2023): 012054. http://dx.doi.org/10.1088/1742-6596/2477/1/012054.

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Abstract With the proposal of “Double-Carbon” goal and the acceleration of energy transformation, a large number of distributed new energy sources such as photovoltaics and wind power, are connected to the power distribution system, the power distribution system has developed into a novel distribution system with the optimization and coordination of energy as its core, thus put forward higher requirements for the safety protection of distribution network. However, when the line of distribution network is repaired or faulty, the power distribution system is very easy to cause islanding effect. Measures of anti-islanding are still implemented based on the grid-connected inverter on the user’s side, and there may be dead zones for anti-islanding protection or other abnormal situations. From the perspective of a novel power distribution system, this paper proposes the method of anti-islanding in novel distribution system with distributed new energy access. The identification of islanding criterion signal, the determination of islanding operation’s area, the generation and execution of islanding processing strategy, the evaluation of islanding processing result and the display of anti-islanding function are elaborated in detail. By analyzing the scenarios of actual application of the anti-islanding processing method, the proposed method can accurately sense the state of islanding of the distribution network and quickly isolate the operating area of islanding through remote control, and the novel power distribution system with distributed new energy access can be prevented from running in islanding, which greatly improves the efficiency of anti-islanding processing for dispatchers, so as to ensure the safe, stable and reliable operation of the distribution network.

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Tan, Kuang-Hsiung, and Chien-Wu Lan. "DG System Using PFNN Controllers for Improving Islanding Detection and Power Control." Energies 12, no. 3 (2019): 506. http://dx.doi.org/10.3390/en12030506.

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In this study, an intelligent controlled distributed generator (DG) system is proposed for tracking control and islanding detection. First, a DC/AC inverter with DC power supply is adopted to emulate a DG system and control the active and reactive power outputs. Moreover, in order to comply with the standard for interconnection with the power grid, a novel active islanding detection method is proposed for the inverter-based DG system. In the proposed active islanding detection method, a perturbation signal is designed to inject into the d-axis current of the DG system which causes the frequency at the terminal of the RLC load to deviate when the power grid breaks down. The feasibility of the proposed active islanding detection method is verified according to the UL 1741 test configuration. Furthermore, in order to improve the tracking control of the active and reactive powers of the inverter-based DG system, and to effectively reduce the detection time of islanding phenomenon, two probabilistic fuzzy neural network (PFNN) controllers are adopted to take the place of the conventional proportional-integral (PI) controllers. In addition, the network structure and the online learning algorithm of the adopted PFNN are presented in details. Finally, some experimental results of the proposed active islanding detection method using PFNN controllers are proposed to validate the effectiveness and feasibility of the tracking control and islanding detection.

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Zhao, Guo, and Xue Liang Huang. "Composite Islanding Detection Method of Grid-Connected Photovoltaic Generation System." Applied Mechanics and Materials 339 (July 2013): 574–78. http://dx.doi.org/10.4028/www.scientific.net/amm.339.574.

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Islanding detection is an important issue for grid-connected photovoltaic (PV) generation systems. The paper puts forward a new composite islanding detection method combining active current disturbance and reactive current disturbance. This islanding detection method for three-phase inverter is simulated in the Matlab/Simulink environment. Simulation results show that, when the inverter output and the load power are balanced, the new islanding detection method can detect islanding quickly with little influence on the power quality.

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Zhou, Xue Song, Jia Rui Wu, and You Jie Ma. "A Review of Islanding Detection Method of Grid-Connected PV Power System." Advanced Materials Research 614-615 (December 2012): 815–18. http://dx.doi.org/10.4028/www.scientific.net/amr.614-615.815.

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With the increasing of the capacity of grid-connected photovoltaic (PV) power system, islanding detection becomes more prominent and significant. At present, islanding detection methods used in grid-connected photovoltaic system can be divided into passive detection methods and active detection methods these two categories, which can also be divided into a variety of methods. This paper shows a comprehensive review of islanding detection methods, classifies the methods of islanding detection, analyzes the principles and characteristics of various islanding detection methods, indicates their appropriate situations, and pointes out the prospect of islanding detection methods. In practical applications, according to the actual situation, selects one or more islanding detection methods can attain better detection effect.

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Prudvi Raj, P. "Islanding Detection of IEEE 13 Bus System Based on Sequence Components." International Transactions on Electrical Engineering and Computer Science 2, no. 2 (2023): 44–51. http://dx.doi.org/10.62760/iteecs.2.2.2023.48.

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Islanding recognition in microgrids is crucial for enhancing power system safety and efficiency. This article presents a novel passive islanding recognition technique for grid integrated renewable Distributed Generation (DG) network. This approach is based on current and voltage disturbances at the moment of islanding. The islanding recognition method is based on the sequence analyzers connected with the point of common coupling (PCC). The suggested method is suitable for estimating the islanding situation in a 0% active power mismatch. The system created in this islanding work is a perfect 13 bus system. It has been tested for a variety of non-islanding circumstances. A microgrid network is simulated using the MATLAB R2016a software.

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Safdar, Raza, Amjad Hanya, Umer Muhammad, and Khalid Aqeel. "Analysis of power system parameters for islanding detection using wavelet transform." Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) 17, no. 3 (2020): 1184–93. https://doi.org/10.11591/ijeecs.v17.i3.pp1184-1193.

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This paper classifies the basic power system parameters based on sensitivity and performance capability. This is the basic step in selecting the suitable parameter for intelligent islanding detection technique. The behaviour of basic power system parameters is analyzed using wavelet transform under all possible islanding and non-islanding conditions. In wavelet transform, the mother wavelet plays a significant role in the extraction of parameter features. The db4 mother wavelet is selected after an extensive analysis on different mother wavelets. As a result, it has been found that the extracted feature of reactive power shows the highest capability to distinguish islanding from non-islanding events.

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Younas, Zubair, and Safdar Raza. "Performance analysis of power system Indices for Islanding Detection." Indian Journal of Science and Technology 12, no. 40 (2019): 1–10. http://dx.doi.org/10.17485/ijst/2019/v12i40/147538.

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Raza, Safdar, Hanya Amjad, Muhammad Umer, and Aqeel Khalid. "Analysis of power system parameters for islanding detection using wavelet transform." Indonesian Journal of Electrical Engineering and Computer Science 17, no. 3 (2020): 1184. http://dx.doi.org/10.11591/ijeecs.v17.i3.pp1184-1193.

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This paper classifies the basic power system parameters based on sensitivity and performance capability. This is the basic step in selecting the suitable parameter for intelligent islanding detection technique. The behaviour of basic power system parameters is analyzed using wavelet transform under all possible islanding and non-islanding conditions. In wavelet transform, the mother wavelet plays a significant role in the extraction of parameter features. The db4 mother wavelet is selected after an extensive analysis on different mother wavelets. As a result, it has been found that the extracted feature of reactive power shows the highest capability to distinguish islanding from non-islanding events.

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Larik, Nauman Ali, Meng Shi Li, Touqeer Ahmed, Jawed Ahmed Jamali, and Qing Hua Wu. "Islanding Issues, Consequences, and a Robust Detection Method for Hybrid Distributed Generation Based Power Systems." Engineering, Technology & Applied Science Research 13, no. 4 (2023): 11484–89. http://dx.doi.org/10.48084/etasr.6120.

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Islanding refers to the situation where a Distributed Energy Resource (DER) remains as the sole power supply for a specific section of a power system, even after the main utility grid has been cut off. Suitable islanding detection is crucial to maintain the stability and dependability of a power distribution system that includes DERs. Islanding detection using easy-to-implement passive techniques exhibits a cost-effective response. The purpose of this study was to examine the causes and effects of islanding that a system can experience and propose a passive islanding detection method that uses ROCOPAD. The effectiveness of the proposed method was assessed using a MATLAB Simulink-based power system integrated with multiple Distributed Generations (DGs). The results showed that the proposed ROCOPAD-based islanding detection provided the best results. Evaluation metrics, including detection accuracy, false operation, and detection time, highlighted the effectiveness of the proposed approach.

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Reddy, Sareddy Venkata Rami, T. R. Premila, Ch Rami Reddy, and B. Nagi Reddy. "Zero power mismatch islanding detection algorithm for hybrid distributed generating system." Transactions on Energy Systems and Engineering Applications 4, no. 2 (2023): 1–12. http://dx.doi.org/10.32397/tesea.vol4.n2.534.

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Distributed generation is essential for both keeping up with the rising power demand and reducing the amount of money spent on fossil fuels. There is widespread agreement that the world should prioritize the development of renewable energy systems such as wind and solar energy. This study describes the design and utility-grid integration of a hybrid distributed generating system that utilizes photovoltaic and wind-driven permanent magnet synchronous generators (hybrid PMSG-PV systems). To prevent damage to the grid, hybrid distributed generation systems, consumer devices, and line workers must be protected from islanding. Detection of islanding in hybrid DG systems has been suggested using passive islanding and time-spectral analysis. Measuring and amplifying the ripple content present in voltage at point of common coupling (PCC) about 0.4 seconds after the permissible delay time after the circuit breaker opens on the utility grid side is how islanding is discovered using this method. Compared to other methods, the proposed method has smoother islanding detection waveforms owing to increases in both the window size and threshold limit. The suggested method detects islanding in 40 ms and is verified in a variety of non-islanding scenarios, such as fault occurrence, parallel feeder loss, and load shift. In addition, the cost is reduced, the response time is rapid, and there is no non-detection zone (NDZ) when using these methods. Unlike active islanding detection methods, their function is unaffected by the size, quantity, or type of distributed generators linked to the utility grid; hence, there are no power quality concerns.

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Rathod, Nenavath Suresh, та Jitendra Kumar. "Islanding Detection in Microgrid System Using Current Components of α-β Transformation". International Journal of Engineering Research in Computer Science and Engineering 9, № 10 (2022): 7–11. http://dx.doi.org/10.36647/ijercse/09.10.art002.

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This paper introduces a novel islanding detection technique(IDT), which is based on the current components of α-β transformation. Index defined in the proposed technique is the reciprocal of the product of alpha and beta components of current. The proposed technique is designed with three photovoltaic systems as distributed generations (DG). The proposed method distinguishes the islanding events(IE) from non-islanding events even at zero power mismatch (ZPM) and fifty percent active power mismatch(APM). It identifies the islanding events as soon as possible and also limits the unwanted tripping due to various types of non-islanding events. General cases of IE and non-islanding events have been simulated. The simulation results show the proposed technique’s flexibility and efficiency based on the MATLAB(Simulink) platform.

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Pancha, Basanta, Rajendra Shrestha, and Ajay Kumar Jha. "Islanding Detection in Distributed Generation Integrated Thimi – Sallaghari Distribution Feeder Using Wavelet Transform and Artificial Neural Network." Journal of the Institute of Engineering 15, no. 2 (2019): 55–61. http://dx.doi.org/10.3126/jie.v15i2.27641.

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In response to the problem of increased load demand, efforts have been made to decentralize the power utility through the use of distributed generation (DG). Despite the advantages of DG integration, un-intentional islanding remains a big challenge and has to be addressed in the integration of DG to the power system. Islanding condition occurs when the DG continues to power a part of the grid system even after the connection to the rest of the system has been lost, either intentionally or un-intentionally. The unintentional islanding mode of operation is not desirable as it poses a threat to the line workers’ safety and power quality issues. There are many methods which may be used to detect the islanding situation. Passive methods such as under/over voltage and under/over frequency work well when there is an imbalance of power between the loads and the DG present in the power island. However, these methods has larger Non Detection Zone (NDZ) and fail to detect the islanding condition if there is a balance of power supplied and consumed in the island. Remote technique of islanding detection is reliable but is not economical in small network area. Active technique of islanding detection distorts the power quality of the system as it introduces external signal in the system. This paper uses the Wavelet Transform (WT) to extract the features of voltage signal at PCC (Point of Common Coupling) and these features have been used to train Artificial Neural Network (ANN). The ANN model trained by these WT features, which understands the pattern of input feature vector, have been used to classify the islanding and non-islanding events. In this proposed method, NDZ has been efficiently eliminated which is created due to difference between active and reactive power during islanding condition. No power quality problem exists in this method as there is no disturbance injection. Hence, this proposed method is better than conventional passive and active methods.

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Sapar, Ahmad Farid, Chin Kim Gan, Meysam Shamshiri, and Anis Niza Ramani. "Performance Assessment of Slip Mode Frequency Shift (SMS) Islanding Detection Methods." Applied Mechanics and Materials 699 (November 2014): 546–51. http://dx.doi.org/10.4028/www.scientific.net/amm.699.546.

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The awareness concerning the grid connected Photovoltaic (PV) has become vital and a major concern nowadays. Islanding detection is one of the most dominant challenges for distributed generation system connected to the utility grid. In addition, islanding has not been a preferable option as it may pose safety hazard and may cause damage to power generation and power supply facilities as a result of unsynchronized re-closer. Therefore, the islanding detection techniques are needed to ensure safe and reliable system operation. One of the established islanding prevention methods is the Slip Mode Frequency Shift (SMS) islanding method, which has numerous advantages over the other techniques. This paper investigates the active islanding detection methods and specifically focused on the SMS islanding method. The results show that the SMS islanding method successfully detected an unintentional fault and managed to isolate the system within the prescribed time range.

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Usman, Muhammad, Safdar Raza, Hafiz Mudassir Munir, Mughees Riaz, Syed Sabir Hussain Bukhari, and Jong-Suk Ro. "Novel Passive Islanding Detection Technique by Monitoring Reverse Power at PCC." International Transactions on Electrical Energy Systems 2022 (May 5, 2022): 1–10. http://dx.doi.org/10.1155/2022/9971609.

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Power System of the age has included remarkable contribution of distributed energy resources (DERs). This inclusion has opened new era of research and studies. Islanding detection has become one of the important events in power system that is to be detected precisely. This study introduces a single-parameter-based passive technique for islanding detection which has zero nondetection zone without involvement of any signal processing tool. The proposed technique is tested for various islanding and nonislanding events. The simulation results prove that the suggested technique detects islanding event accurately and it is capable of distinguishing islanding and nonislanding events by an economical and simpler method.

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Wang, Meng-Hui, Mei-Ling Huang, and Kang-Jian Liou. "Application of Extension Theory with Chaotic Signal Synchronization on Detecting Islanding Effect of Photovoltaic Power System." International Journal of Photoenergy 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/756313.

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The detection of islanding effect is a highly important topic for photovoltaic (PV) power system. The islanding effect occurs when the distributed power source is disconnected from the main supply while the power is still supplied in partial load area, which may injure the set maintenance personnel or damage the equipment. Combining chaotic synchronization and extension theory, this research is to propose a novel detection method to distinguish the occurrence of islanding effect based on nonautonomous Chua’s circuit. To demonstrate the effectiveness of the proposed method, this paper applies PSIM to simulate the PV power system. The experimental results show that the accuracy of the proposed method achieves 98% on islanding effect.

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ALI, Assist Prof Dr Inaam I., and Mohanad Sh Tarad AL-AASAM. "REDUCING SHORT CIRCUIT LEVELS BY USING SYSTEM SPLITTING STRATEGIES." Al-Qadisiyah Journal for Engineering Sciences 11, no. 3 (2019): 309–31. http://dx.doi.org/10.30772/qjes.v11i3.563.

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Preliminary studies on Iraqi power system show a significant increase in the short circuit level at some of the grid substations and some power stations. This increasing results from the growth of the power generation and transmission systems in size and complexity. Islanding or splitting is dividing the power system into several islands inorder to reduce short circuit levels and avoiding blackouts. The main islanding problem is determining the location of proper splitting points and load balance and satisfaction of transmission capacity constraints for each islands.This paper mainly introduces new proposed splitting strategies of large-scale power systems by using (PSS™E version 30.3 PACKAGE PROGRAME), such that, make re-interconnection of 400KV super high voltage substation based on three-phase load flow to be minimum flow at splitting point and infeed fault current details method to control short circuit levels in Iraq power system without islanding the power system into isolated islands. Controlled islanding or splitting scheme is frequently considered as the final solution to avoid blackouts of power system.Simulation IEEE-25 bus and Iraqi power system used as the test systems for this method. Furthermore, simulation results show significant effectiveness on reducing short circuit levels with same time give stable splitting islands with same frequency for preventing the system blackouts.

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Lin, Zhenzhi, Yuxuan Zhao, Shengyuan Liu, et al. "A New Indicator of Transient Stability for Controlled Islanding of Power Systems: Critical Islanding Time." Energies 11, no. 11 (2018): 2975. http://dx.doi.org/10.3390/en11112975.

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Transient stability after islanding is of crucial importance because a controlled islanding strategy is not feasible if transient stability cannot be maintained in the islands created. A new indicator of transient stability for controlled islanding strategies, defined as the critical islanding time (CIT), is presented for slow coherency-based controlled islanding strategies to determine whether all the islands created are transiently stable. Then, the stable islanding interval (SII) is also defined to determine the appropriate time frame for stable islanding. Simulations were conducted on the New England test system–New York interconnected system to demonstrate the characteristics of the critical islanding time and stable islanding interval. Simulation results showed that the answer for when to island could be easily reflected by the proposed CIT and SII indicators. These two indicators are beneficial to power dispatchers to keep the power systems transiently stable and prevent widespread blackouts.

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Li, Chen Xin, and Qi Ping Yuan. "An Improved Islanding Detection Method for Photovoltaic Grid-Connected System." Advanced Materials Research 748 (August 2013): 453–56. http://dx.doi.org/10.4028/www.scientific.net/amr.748.453.

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Islanding detection is a very essential function for a photovoltaic grid-connected system. Islanding phenomenons not only damage to equipment, but also endanger to the safety of the maintenance personnel. Passive islanding detection methods that use alone have considerable non-detection zone (NDZ); active islanding detection methods that use alone are that join disturbance to system, but the disturbance will cause system instability [1]. In this paper, an over/under voltage and over/under frequency detection method combines with an improved active power perturbation detection method are proposed. The photovoltaic system can be reduced non-detection zone (NDZ) with improved the power quality and reduced the total harmonic distortion (THD) through this method.

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Changan, Dhanashri, and Pranav Darji. "HYBRID ANTI ISLANDING PROTECTION SCHEME FOR DISTRIBUTED GENERATORS BASED ON FUZZY LOGIC CONTROLLER." Suranaree Journal of Science and Technology 31, no. 3 (2024): 010307(1–8). http://dx.doi.org/10.55766/sujst-2024-03-e02647.

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Distributed generators are blessing for power grid. Distributed generators should operate properly during and after islanding process. Here in this work the main focus is earlier islanding detection and to detect islanding on earlier. Hybrid islanding protection can be preferred for islanding detection. An active oscillatory disturbance is introduced in controller of the converter and fuzzy logic controller is used, so that the introduced signal gets amplified during islanding and it is helpful to detect the islanding. Generally proportional gain controller is used for islanding detection, but its response is slow, hence fuzzy logic controller is used. Fuzzy Logic controller gives earlier trip signal to system than proportional integral controller and small signal stability issues get improved. The system performance is discussed for zero power mismatch conditions. The simulation results of this proposed method is evaluated by using MATLAB Software.

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Adenugba, F. T., H. E. Orovwode, and O. F. Ademola. "An image classification based approach for islanding detection in a sustainable distributed generation system using convolutional neural network." IOP Conference Series: Earth and Environmental Science 993, no. 1 (2022): 012021. http://dx.doi.org/10.1088/1755-1315/993/1/012021.

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Abstract In today’s power system, distributed generation (DG) penetration level has increased to match the ever-increasing demand for energy. DG integration introduces peculiar challenges to the entire power system. Due to the increased DG penetration, these challenges have become technically and economically very important. Effective and fast islanding detection is necessary to prevent power quality degradation, equipment loss, and human life loss. In this study, an islanding detection model based on convolutional neural network (CNN) is proposed. The method utilizes the ability of CNN to perform accurate image classification. It identifies islanding by classifying scalogram images obtained by applying wavelet transform to the concatenated voltage waveforms for each event. The islanding detection model is trained with well-processed images to improve classification accuracy. Noise is incorporated into the data to investigate the susceptibility of the method to noise. The results obtained prove that the proposed islanding detection model can handle the problem of islanding detection.

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Lim, Jong, Hye Hwang, Woo Shin, et al. "Case Studies for Non-Detection of Islanding by Grid-Connected In-Parallel Photovoltaic and Electrical Energy Storage Systems Inverters." Applied Sciences 9, no. 5 (2019): 817. http://dx.doi.org/10.3390/app9050817.

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In Korea, there is a rule for Renewable Energy Certification with weighting 5.0, to expand grid linkage capacity and to improve the stability of the grid to accommodate photovoltaic (PV) systems in a distributed power system. Due to this rule, many power companies and operators are trying to install electrical energy storage systems that are able to operate in conjunction with PV system power. These systems operate in parallel at the same grid connection point. This paper presents the results of case studies on the failure to detect islanding operation. Test evaluation devices that could be bi-directionally charged and discharged were implemented for an islanding detection test. Testing was conducted under a variety of operating conditions. When a single inverter was operated under the islanding condition, it was stably stopped within 0.5 s using the Korean grid-code standard. However, when two inverters were operated at the same time under the islanding condition, islanding detection failed and the two inverters continued to feed the connected RLC (resistor, inductor, capacitor) loads in the isolated section known as an island. Different algorithms used by PCS (power conversion system) manufacturers to detect islanding might cause this phenomenon. Therefore, it is necessary for a new PCS test standard to detect islanding.

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Chilakala, Ramireddy, K. Suresh, P. Anusha, Sk Najma, B. I. Rajkumar, and B. Prasanna Lakshmi. "A passive islanding detection method for hybrid distributed generation system under balanced islanding." Indonesian Journal of Electrical Engineering and Computer Science 14, no. 1 (2019): 9. http://dx.doi.org/10.11591/ijeecs.v14.i1.pp9-19.

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To solve the energy consumption demand of the world and environmental problems in the future the distributed generation is considered an alternative approach. In this paper a new passive islanding detection technique was proposed for the Hybrid distributed generation (HDG) system based on changes in negative sequence voltage (NSV) and currents during an unintentional islanding. Islanding is caused in the distributed generation system due to failures in the power grid. As per distribution energy resources interconnection standards, it should be detected within 2 sec with the equipments connected to it. It is difficult to detect islanding during zero power imbalance condition. Sequence analyzer will separate the positive, negative and zero sequence components of voltages and currents from the voltages and currents obtained at the point of common coupling (PCC). During a wide range of power imbalance conditions the change in negative sequence voltage and currents are examined for islanding detection. The simulation shows that this method is free from Non detection zone, even at zero power imbalances between load and distribution generation. The computer simulations made in Matlab/ Simulink laboratory show the effectiveness of this method

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Suresh, K., P. Anusha, Sk. Najma, B. I. Rajkumar, Reddy Ch. Rami, and B. Prasanna Lakshmi. "A passive islanding detection method for hybrid distributed generation system under balanced islanding." Indonesian Journal of Electrical Engineering and Computer Science 14, no. 1 (2019): 9–19. https://doi.org/10.11591/ijeecs.v14.i1.pp9-19.

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To solve the energy consumption demand of the world and environmental problems in the future the distributed generation is considered an alternative approach. In this paper a new passive islanding detection technique was proposed for the Hybrid distributed generation (HDG) system based on changes in negative sequence voltage (NSV) and currents during an unintentional islanding. Islanding is caused in the distributed generation system due to failures in the power grid. As per distribution energy resources interconnection standards, it should be detected within 2 sec with the equipments connected to it. It is difficult to detect islanding during zero power imbalance condition. Sequence analyzer will separate the positive, negative and zero sequence components of voltages and currents from the voltages and currents obtained at the point of common coupling (PCC). During a wide range of power imbalance conditions the change in negative sequence voltage and currents are examined for islanding detection. The simulation shows that this method is free from Non detection zone, even at zero power imbalances between load and distribution generation. The computer simulations made in Matlab/ Simulink laboratory show the effectiveness of this method

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Rajesh Reddy, J., A. Pandian, R. Dhanasekaran, Rami Reddy Ch, B. Prasanna Lakshmi, and B. Neelima Devi. "Islanding detection of integrated distributed generation with advanced controller." Indonesian Journal of Electrical Engineering and Computer Science 17, no. 3 (2020): 1626. http://dx.doi.org/10.11591/ijeecs.v17.i3.pp1626-1631.

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Grid integration of non conventional energy resources is increasing in day to day life to supply the global energy utilization requirement. The major problem with such integrated Distributed Generation (DG) is islanding. The islanding is originated in the integrated system when a part of the power system is disconnected from the grid and continue to feed the local load. The islanding is not safe to field persons and equipment. As per IEEE 1547 standards, the islanding should be detected within 2 seconds with the equipments associated with it. In this paper, a new islanding detection method is proposed with fuzzy rule based approach with inputs as the change in frequency and power. This method classifies the islanding and non islanding events efficiently compared to other passive methods. The simulations are carried on Matlab/ Simulink 2018b environment.

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J., Rajesh Reddy, Pandian A., Dhanasekharan R., Rami Reddy Ch., Prasanna Lakshmi B., and Neelima Devi B. "Islanding detection of integrated distributed generation with advanced controller." Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) 17, no. 3 (2020): 1626–31. https://doi.org/10.11591/ijeecs.v17.i3.pp1626-1631.

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Grid integration of nonconventional energy resources is increasing in day to day life to supply the global energy utilization requirement. The major problem with such integrated Distributed Generation (DG) is islanding. The islanding is originated in the integrated system when a part of the power system is disconnected from the grid and continue to feed the local load. The islanding is not safe for field persons and equipment. As per IEEE 1547 standards, the islanding should be detected within 2 seconds with the equipment associated with it. In this paper, a new islanding detection method is proposed with fuzzy rule-based approach with inputs as the change in frequency and power. This method classifies the islanding and non islanding events efficiently compared to other passive methods. The simulations are carried on Matlab/ Simulink 2018b environment. 

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Khichar, Suman, Yatindra Gopal, and Mahendra Lalwani. "An Enhanced Control Strategy for the Stable Operation of Distributed Generation during Grid-Connected and Islanded Mode." International Journal of Applied Power Engineering (IJAPE) 7, no. 2 (2018): 147. http://dx.doi.org/10.11591/ijape.v7.i2.pp147-158.

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The incident of islanding occurs while the distributed generator fed constant power into the grid after power flow on the source of essential utility has been intermittent. If islanding is not rapidly detected, it can reason serious security and harmful condition. This paper presents coordinated manage of solar photovoltaic unit through maximum power point tracking technique to make available voltage and frequency support for an islanding condition. In normal condition, structure works as constant current control mode subsequent to islanding the structure switched to voltage control mode. The projected technique is capable to discriminate involving an islanding and a non-islanding occurrence. In this paper phase locked loop detection technique designed for detecting islanding situation is conceded out. The authentication of proposed system is established efficiently using MATLAB/ Simulink environment. The simulated results exhibit that the islanding detection technique has zero nondetection zone property and be able to detect islanding within few seconds

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Khichar, Suman, Yatindra Gopal, and Mahendra Lalwani. "An Enhanced Control Strategy for the Stable Operation of Distributed Generation during Grid-connected and Islanded Mode." International Journal of Applied Power Engineering 7, no. 2 (2018): 147–58. https://doi.org/10.11591/ijape.v7.i2.pp147-158.

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The incident of islanding occurs while the distributed generator fed constant power into the grid after power flow on the source of essential utility has been intermittent. If islanding is not rapidly detected, it can reason serious security and harmful condition. This paper presents coordinated manage of solar photovoltaic unit through maximum power point tracking technique to make available voltage and frequency support for an islanding condition. In normal condition, structure works as constant current control mode subsequent to islanding the structure switched to voltage control mode. The projected technique is capable to discriminate involving an islanding and a non-islanding occurrence. In this paper phase locked loop detection technique designed for detecting islanding situation is conced ed out. The authentication of proposed system is established efficiently using MATLAB/Simulink environment. The simulated results exhibit that the islanding detection technique has zero non detection zone property and be able to detect islanding within few seconds.

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Thorat, Shital, and Vaiju N. Kalkhambkar. "Management of a Solar-PV System with Energy Storage." ECTI Transactions on Electrical Engineering, Electronics, and Communications 19, no. 3 (2021): 233–45. http://dx.doi.org/10.37936/ecti-eec.2021193.222654.

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A solar-PV system is generally connected to distributed generation (DG) by the utility grid. The solar inverter retains some capacity after active power generation. Reactive power compensation can be achieved by utilizing the remaining capacity of the solar-PV inverter. This paper introduces an energy management system (EMS) for real and reactive power management. The proposed EMS includes two modes: PV-STATCOM and islanding. In PV-STATCOM mode, the PI control is used whereas for the islanding mode, voltage frequency control is employed. This paper proposes the energy management of reactive power by utilizing the solar photovoltaic (PV) inverter as a static synchronous compensator (PV-STATCOM). Therefore, no other additional flexible AC transmission system controllers or series/shunt capacitors are required. During the islanding mode, the storage provides continuous supply to the load. The system is simulated using single-phase and three-phase modes with the hardware results also revealed. The proposed scheme provides a significant improvement in power factor while reducing the total harmonic distortion.

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Abyaz, Arash, Habib Panahi, Reza Zamani, et al. "An Effective Passive Islanding Detection Algorithm for Distributed Generations." Energies 12, no. 16 (2019): 3160. http://dx.doi.org/10.3390/en12163160.

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Different issues will be raised and highlighted by emerging distributed generations (DGs) into modern power systems in which the islanding detection is the most important. In the islanding situation, a part of the system which consists of at least one DG, passive grid, and local load, becomes fully separated from the main grid. Several detection methods of islanding have been proposed in recent researches based on measured electrical parameters of the system. However, islanding detection based on local measurements suffers from the non-detection zone (NDZ) and undesirable detection during grid-connected events. This paper proposes a passive islanding detection algorithm for all types of DGs by appropriate combining the measured frequency, voltage, current, and phase angle and their rate of changes at the point of common coupling (PCC). The proposed algorithm detects the islanding situation, even with the exact zero power mismatches. Proposed algorithm discriminates between the islanding situation and non-islanding disturbances, such as short circuit faults, capacitor faults, and load switching in a proper time and without mal-operation. In addition, the performance of the proposed algorithm has been evaluated under different scenarios by performing the algorithm on the IEEE 13-bus distribution system.

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Bakhshi-Jafarabadi, Reza, and Marjan Popov. "Hybrid Islanding Detection Method of Photovoltaic-Based Microgrid Using Reference Current Disturbance." Energies 14, no. 5 (2021): 1390. http://dx.doi.org/10.3390/en14051390.

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This paper proposes a new hybrid islanding detection method for grid-connected photovoltaic system (GCPVS)-based microgrid. In the presented technique, the suspicious islanding event is initially recognized whilst the absolute deviation of the point of common coupling (PCC) voltage surpasses a threshold. After an intentional delay, a transient disturbance is injected into the voltage source inverter’s d-axis reference current to decline the active power output. As a result, the PCC voltage reduces in islanding operating mode whilst its variation is negligible in the grid presence. Therefore, the simultaneous drop of PCC voltage and active power output is used as an islanding detection criterion. The effectiveness of the proposed algorithm is investigated for various islanding and non-islanding scenarios for a practical distribution network with three GCPVSs. The simulation results in MATLAB/Simulink show successful islanding detection with a small non-detection zone within 300 ms without false tripping during non-islanding incidents. In addition to the precise and fast islanding classification, the presented scheme is realized inexpensively; its thresholds are determined self-standing, and its output power quality degradation is eminently small. Moreover, the active power output is restored to the nominal set after islanding recognition, enhancing the chance of GCPVS generation at its highest possible level in the autonomous microgrid.

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Li, Ke, and De An Zhao. "Single-Phase Grid-Connected PV System Island Effect Detection Based on Active Output Power Change Method." Advanced Materials Research 1008-1009 (August 2014): 399–403. http://dx.doi.org/10.4028/www.scientific.net/amr.1008-1009.399.

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In order to solve the islanding effect of single phase photovoltaic grid-connected system, by introducing some common passive and active detection, and generalizing the advantages and disadvantages of the two detections, we came up with and design an output energy changing method to achieve the detection and prevention of the islanding effect. Modeling and simulating this system under MATLAB , and the results show that the output energy changing method can detect the generation of islanding effect accurately, and achieve the anti-islanding effect effectively.

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N., Z. Saharuddin, Zainal Abidin I., Mokhlis H., and Naidu K. "Intentional Islanding Methods as Post Fault Remedial Action: A Review." Indonesian Journal of Electrical Engineering and Computer Science 12, no. 1 (2018): 182–92. https://doi.org/10.11591/ijeecs.v12.i1.pp182-192.

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Intentional islanding is the last defense mechanism executed to avoid cascading failures and total blackout in power system network during severe or critical contingency. It is performed when other mitigation techniques are unable to save the network from collapse. Intentional islanding is preferred compared to unintentional islanding, which produces unstable islands. The objective of intentional islanding is to split the network by disconnecting appropriate transmission lines to produce electrically stable and balanced islands. There are many methods suggested by previous researchers on intentional islanding. This paper presents a comprehensive review on various intentional islanding methods proposed based on the common objective function used which are minimal power imbalance and minimal power flow disruption. The paper focuses on five intentional islanding methods which are analytical, numerical, heuristic, meta-heuristic and hybrid approaches. This review paper will serve as guideline and reference for researchers to explore further in this topic of interest.

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Zhang, Ji Hong, Pei Hong Yang, and Zhen Kui Wu. "Reformative Arithmetic for Non Detection Zone Islanding Detection Based on the Voltage Shift Technique." Applied Mechanics and Materials 291-294 (February 2013): 2057–62. http://dx.doi.org/10.4028/www.scientific.net/amm.291-294.2057.

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The quick & exact anti-islanding is a mandatory feature for grid-connected distributed generation system. The conventional passivity detection method has the biggish blind section and lower reliability, especially when the grid-connected inverter export power and burthen power are balanceable; the islanding detection often is disabled. And that the initiative islanding detection method is considered an effective measure, but if the arithmetic & parameter choice irrelevantly, the islanding can not be detected easily; even injected harmonic to the grid and destroy power quality. An improved voltage shift technique islanding detection arithmetic is put forward in this paper, and the correlative mathematics model is established, and the project is analyzed and studied theoretically based on IEEE Std.2009-929 criterion. The result shows the method will not affect power quality, at the same time it can detect islanding phenomenon quickly& exactly, so it is feasible.

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Xie, Dong, and Xing Zhang. "A Novel Islanding Detection Method for Inverter-Based Distributed Generation Systems." Applied Mechanics and Materials 318 (May 2013): 597–600. http://dx.doi.org/10.4028/www.scientific.net/amm.318.597.

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In the area of renewable energy technologies, islanding of distributed generation system needs to be prevented due to safety reasons and to ensure quality of power supplied to the customers. Several islanding detection methods based on passive and active schemes have been proposed in the literature. Passive methods have a large non detection zone (NDZ), While active schemes degrade power quality. This paper proposed a new passive islanding detection method which combines the Wavelet-transform and neural network techniques. This method can reduce the NDZ to zero without any perturbation that deteriorates the power quality. The simulation results show that the proposed islanding detection method is effective and robust in all kind of conditions.

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Yun, Luo. "An Islanding Detection Method for Photovoltaic Power Generation System Using Fluctuation Characteristic of PCC Harmonic Voltage." Advanced Materials Research 998-999 (July 2014): 574–77. http://dx.doi.org/10.4028/www.scientific.net/amr.998-999.574.

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In the photovoltaic power generation system, the harmonic voltage of the point of common coupling (PCC) is determined by system disturbance, local load and photovoltaic power generation system itself together. Based on the fluctuations of this harmonic voltage, a new islanding detection method for the PV system is proposed. By extracting the higher harmonic components from the wavelet transformation of point of common coupling (PCC) voltage, and then taking its fluctuations as the islanding identification and detection index, non-detection zone (NDZ) can be eliminated, without a plus disturbance. According to IEEE Std.1547, simulated verification of the proposed method is accomplished in the ideal photovoltaic grid system. When the PCC voltage and frequency are within the normal range, it can not only give a fast and accurate detection to the occurrence of islanding, but also identify the false islanding, such as voltage dips and switching loads, effectively avoiding false detection caused by the false islanding.

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Shao, Hongbo, Yubin Mao, Yongmin Liu, et al. "A Three-Stage Procedure for Controlled Islanding to Prevent Wide-Area Blackouts." Energies 11, no. 11 (2018): 3066. http://dx.doi.org/10.3390/en11113066.

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Controlled islanding has been proposed as a last resort action to stop blackouts from happening when all standard methods have failed. Successful controlled islanding has to deal with three important issues: when, and where to island, and the evaluation of the dynamic stability in each island after islanding. This paper provides a framework for preventing wide-area blackouts using wide area measurement systems (WAMS), which consists of three stages to execute a successful islanding strategy. Normally, power system collapses and blackouts occur shortly after a cascading outage stage. Using such circumstances, an adapted single machine equivalent (SIME) method was used online to determine transient stability before blackout was imminent, and was then employed to determine when to island based on transient instability. In addition, SIME was adopted to assess the dynamic stability in each island after islanding, and to confirm that the chosen candidate island cutsets were stable before controlled islanding was undertaken. To decide where to island, all possible islanding cutsets were provided using the power flow (PF) tracing method. SIME helped to find the best candidate islanding cutset with the minimal PF imbalance, which is also a transiently stable islanding strategy. In case no possible island cutset existed, corresponding corrective actions such as load shedding and critical generator tripping, were performed in each formed island. Finally, an IEEE 39-bus power system with 10 units was employed to test this framework for a three-stage controlled islanding strategy to prevent imminent blackouts.

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Saharuddin, N. Z., Zainal Abidin, H. Mokhlis, and K. Naidu. "Intentional Islanding Methods as Post Fault Remedial Action: A Review." Indonesian Journal of Electrical Engineering and Computer Science 12, no. 1 (2018): 182. http://dx.doi.org/10.11591/ijeecs.v12.i1.pp182-192.

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Intentional islanding is the last defense mechanism executed to avoid cascading failures and total blackout in power system network during severe or critical contingency. It is performed when other mitigation techniques are unable to save the network from collapse. Intentional islanding is preferred compared to unintentional islanding, which produces unstable islands. The objective of intentional islanding is to split the network by disconnecting appropriate transmission lines to produce electrically stable and balanced islands. There are many methods suggested by previous researchers on intentional islanding. This paper presents a comprehensive review on various intentional islanding methods proposed based on the common objective function used which are minimal power imbalance and minimal power flow disruption. The paper focuses on five intentional islanding methods which are analytical, numerical, heuristic, meta-heuristic and hybrid approaches. This review paper will serve as guideline and reference for researchers to explore further in this topic of interest.

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Reddy, J. Rajesh, and A. Pandian. "Improved ROCOF relay for islanding detection of solar distributed generation." Indonesian Journal of Electrical Engineering and Computer Science 14, no. 3 (2019): 1105. http://dx.doi.org/10.11591/ijeecs.v14.i3.pp1105-1113.

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In recent years to meet the energy consumption demand of the world, all are working on renewable distributed generation (RDG) due to shortage of fossil fuels. The RDG systems after integrating with grid, has a disadvantage of islanding in the power system. Islanding is caused, if the RDG is supplying power to load connected due to failures in the grid. As per IEEE 1547 distributed generation (DG) interconnection standards, the islanding should be detected within 2 seconds after islanding. In this paper a hybrid islanding detection scheme is presented with rate of change of frequency (ROCOF) and reactive power injection with positive feedback. It will reduce the non detection zone (NDZ) of passive ROCOF relay to zero and can detect balanced islanding. The computer simulations are performed on MATLAB-2016. The simulations results show the effective performance of the proposed method.

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Mastromauro, Rosa Anna. "Grid Synchronization and Islanding Detection Methods for Single-Stage Photovoltaic Systems." Energies 13, no. 13 (2020): 3382. http://dx.doi.org/10.3390/en13133382.

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Synchronization and islanding detection represent some of the main issues for grid-connected photovoltaic systems (PVSs). The synchronization technique allows to achieve PVS high power factor operation and it provides grid voltage monitoring. The islanding detection control function ensures safe operation of the PVS. Focusing on low-power single-stage PVSs, in this study the most adopted and the highest performance synchronization and islanding detection methods are discussed. The role of the synchronization system is fundamental to detect the grid conditions, for the islanding detection purpose, and to manage the reconnection to the grid after a PVS trip. Hence a combined review is advantageous.

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Nirali Upadhyay. "Integrated Passive Anti-Islanding Protection in Micro Grid." Journal of Electrical Systems 20, no. 6s (2024): 2922–37. http://dx.doi.org/10.52783/jes.3297.

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In last two decades due to major interest amongst power system engineers and policy makers penetration of different distributed energy resources (DREs) into power distribution network are significantly increased. Integration of DREs with conventional power grid is a complex issue and will impose some challenges against power engineers. The major challenge is protection of micro grid, which is based on how your protection strategies distinguish islanding and non islanding conditions correctly and timely. Methods used for have strengths and limitations in the areas like speed, accuracy, power quality and Non detection islanding zone. The prime motive of this research is to presents an efficient new integrated anti-islanding protection strategy using passive parameters. The proposed algorithm having a novel islanding detection technique, which discriminate the islanding events from the non islanding events of similar signature accurately with minimum non detection zone and minimum impact on power quality. The proposed strategy is the combination of different conventional and latest passive relays based on single and multiple parameters. Integration of different relays made in such a strategic way that it combines the strengths and benefits of each method and minimizes their limitations. The presented algorithm tested under MATLAB/SIMULINK environment in different network conditions. Finally, the efficiency of the algorithm has checked by testing it on standard microgrid structure. The results received from simulation confirmed that algorithm is detecting islanding conditions reliably and efficiently, followed by generation of trip/block signal correctly.

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Arefin, Ahmed Amirul, Maveeya Baba, Narinderjit Singh Sawaran Singh, et al. "Review of the Techniques of the Data Analytics and Islanding Detection of Distribution Systems Using Phasor Measurement Unit Data." Electronics 11, no. 18 (2022): 2967. http://dx.doi.org/10.3390/electronics11182967.

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The application of the Phasor Measurement Unit (PMU) in the power system is expanding day by day since it provides a higher reliability through fast symmetrically monitoring and protection and assists in controlling power systems. For power systems, islanding is a significant event due to its hazardous consequences. To detect islanding events, several schemes have been previously proposed but inappropriate threshold setting, higher computational time, and false tripping are the main limitations. In addition, differentiating between real island events and transient faults is another limitation. However, appropriate threshold setting plays a considerable part in detecting the island event, which is also important to differentiate between real and non-island events. Phasor Measurement Unit can assist in islanding detection, but it can generate 30 samples/s, so there is always the possibility of making particular period data disappear. The principal contribution of this review article is its detailed discussion of real-time symmetrical PMU data and it further presents different PMU data analytic techniques and the proposed schemes for the islanding detection system. An appropriate methodology tried to understand how to incorporate missing PMU data techniques along with the islanding detection system to ensure the higher reliability of the network.

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Haque, Ahteshamul, Abdulaziz Alshareef, Asif Irshad Khan, Md Mottahir Alam, Varaha Satya Bharath Kurukuru, and Kashif Irshad. "Data Description Technique-Based Islanding Classification for Single-Phase Grid-Connected Photovoltaic System." Sensors 20, no. 11 (2020): 3320. http://dx.doi.org/10.3390/s20113320.

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This paper develops an islanding classification mechanism to overcome the problems of non-detection zones in conventional islanding detection mechanisms. This process is achieved by adapting the support vector-based data description technique with Gaussian radial basis function kernels for islanding and non-islanding events in single phase grid-connected photovoltaic (PV) systems. To overcome the non-detection zone, excess and deficit power imbalance conditions are considered for different loading conditions. These imbalances are characterized by the voltage dip scenario and were subjected to feature extraction for training with the machine learning technique. This is experimentally realized by training the machine learning classifier with different events on a 5 kW grid-connected system. Using the concept of detection and false alarm rates, the performance of the trained classifier is tested for multiple faults and power imbalance conditions. The results showed the effective operation of the classifier with a detection rate of 99.2% and a false alarm rate of 0.2%.

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M. Imran Ghafoor, Imranghafoor. "MACHINE LEARNING BASED ISLANDING DETECTION DURING BLACKOUT." International Journal of Sciences and Emerging Technologies 1, no. 1 (2022): 25–38. http://dx.doi.org/10.56536/ijset.v1i1.22.

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In modern era, demand of electricity is increasing rapidly due to fast development in industrial sector, communication technologies, commercial and domestic usage. The need of the hour is to protect the power system from blackouts during abnormal conditions, like voltage collapse and frequency disturbance etc between the generation and consumption. The sudden change in weather conditions, loading of power system, and over ageing of transmission and distribution lines becomes the cause of blackouts. Islanding detection and protection is one of the best possible techniques to improve the power quality, reliability, system security, transmission congestion relief and efficient energy utilization. Distribution generators (DGs), if properly placed have many positive impacts on the operation of power system. The islanding can improve the reliability by counting the operation of electrical power to keep the balance between consumption and generation. The main problem is sustained islanding with fast timing. Plant should sustain its island mode condition when fault occurs in transmission lines. Most islanding detection algorithms suffer from large NDZ and Non detection zone must be minimized to protect system properly and avoid blackouts. This study presents a technique to develop a reliable system to prevent complete blackouts, while maintaining the stability of the power system with high variability and uncertainty under the abnormal conditions. It is also needed to present the period all the DGs need to connect and disconnect immediately when the island occurs. For this purpose, each DG must be equipped with islanding detection devices. In this research work the presented system is a two-step process, based on the collection of some of the key characteristics in the current and voltage signals to analyze second harmonic by the Fourier transform (FT).

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Kumar, S. Ananda, M. S. P. Subathra, Nallapaneni Manoj Kumar, et al. "A Novel Islanding Detection Technique for a Resilient Photovoltaic-Based Distributed Power Generation System Using a Tunable-Q Wavelet Transform and an Artificial Neural Network." Energies 13, no. 16 (2020): 4238. http://dx.doi.org/10.3390/en13164238.

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Finding an appropriate technique to detect an islanding issue is one of the major challenges associated with the design of a resilient grid-linked photovoltaic-based distributed power generation (PV-DPG) system. In general, the technique used for islanding detection must be able to sense the disruptions from the electric grid and quickly disconnect PV-DPG from the grid. The quick disconnection of PV-DPG mostly avoids power quality problems, damage to power assets, voltage stability issues, and frequency instability. In this paper, a new islanding detection technique that is based on tunable Q-factor wavelet transform (TQWT) and an artificial neural network (ANN) is proposed for PV-DPG. The proposed approach consists of two steps: in the first step, the vital detection parameters are computed by performing simulations considering all possible switching transients, islanding events, and faults from the grid side. Then, the decomposition of obtained signals is done using TQWT on different levels. Using the obtained coefficients, at each level, features such as range, minimum, mean, standard deviation, maximum, energy, and log energy entropy are computed. The optimal feature set was selected as the input for the second step. The classification of the non-islanding and islanding states for PV-DPG is made using the ANN classifier in the second step, which achieved an accuracy of 98%. The results representing the efficiency of the proposed approach in noisy and non-noisy environments are also explained. Overall, it is understood that the proposed islanding detection technique would provide suitable insights to detect an islanding issue.

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Chen, Xiaolong, and Yongli Li. "A Nondestructive Islanding Detection Method Based on Adaptive and Periodic Disturbance on Reactive Power Output of Inverter-Based Distributed Generation." Journal of Applied Mathematics 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/132348.

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In order to detect islanding nondestructively, an islanding detection method for microgrid is proposed based on adaptive and periodic disturbance on the reactive power output of inverter-based distributed generation (DG). The first two parts of the disturbance in a cycle form a symmetric triangular shape and the disturbance can adaptively adjust its peak value and cycle time for two purposes. One is to minimize the total amount of the disturbance. The other is to guarantee that the absolute value of the rate of change of frequency (ROCOF) is constant during islanding, which can be utilized to be a criterion to detect islanding. The method can be applied on the DG either operating at a unity power factor or generating both active and reactive power simultaneously. Moreover, it helps to avoid the serious transient process during control strategy transformation of the DG for microgrid islanded operation. According to the anti-islanding test system in the IEEE Std. 929-2000 and IEEE Std. 1547-2003, several study cases are carried out in the PSCAD/EMTDC environment. The simulation results show that the proposed method can detect islanding rapidly and nondestructively. Moreover, it also performs effectively for the system with multiple DGs.

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Gao, Yong Xin. "Study on Effect of Micro-Power System Operation and Market Environment." Applied Mechanics and Materials 316-317 (April 2013): 149–52. http://dx.doi.org/10.4028/www.scientific.net/amm.316-317.149.

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Micro-grid to facilitate a large number of distributed energy resources (DER) interconnection and access in the low voltage distribution system, provides a mechanism to take advantage of DER generating units, micro-grid profiles are described in the text and its development, micro-Islanding detection of grid management systems, micro-grid issues and micro-grids, market competitive issues. That urgency of micro-grid and Islanding detection methods, along with bidding in power market, the only generation involved in unilateral bidding mechanism and power side and the user side and participate in bilateral bidding mechanism.

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Subramanian, Karthikeyan, and Ashok Kumar Loganathan. "Islanding Detection Using a Micro-Synchrophasor for Distribution Systems with Distributed Generation." Energies 13, no. 19 (2020): 5180. http://dx.doi.org/10.3390/en13195180.

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Distributed Generation (DG) has changed the power generation system to small-scale instead of large-scale generation. The demanding issue with the interconnection of DG is the detection of unintended islanding in a network. Several methods proposed in the literature show drawbacks such as high non-detection zones (NDZ) and higher tripping time. In this paper, the IEEE 13 bus distribution network with DGs like wind and solar power plants is integrated at two buses. Islanding is detected by utilizing data from a micro-synchrophasor located at the distribution grid and the DG. The micro-synchrophasor-based unintended islanding detection algorithm is based on parameters such as voltage, rate of change of voltage, frequency, rate of change of frequency, voltage phase angle difference and the rate of change of the voltage phase angle difference between the utility and the islanded grid. The proposed islanding detection algorithm discriminates between islanding and non-islanding conditions and is highly efficient under zero power mismatch conditions. The proposed method has null NDZ and satisfies the IEEE 1547 standard for DG tripping time. The effectiveness of the proposed IDM was verified when there are multiple DGs in the islanded grid. Also, the proposed method does not require additional hardware as it can be incorporated in digital relays with synchrophasor functionality.

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Journal articles on the topic 'Power System Islanding'

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