Journal articles: 'Phasor measurement unit'

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Wilson, R. E. "PMUs [phasor measurement unit]." IEEE Potentials 13, no. 2 (April 1994): 26–28. http://dx.doi.org/10.1109/45.283885.

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Anisha N.P., Prasanna Vadana D., and Suyampulingam A. "Soft Phasor Measurement Unit." Procedia Technology 21 (2015): 533–39. http://dx.doi.org/10.1016/j.protcy.2015.10.045.

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Rafikov, V. R., I. E. Ivanov, and A. A. Bratoliubov. "Physical and mathematical modeling of transients in a synchronous generator utilizing synchronized phasor measurements." Vestnik IGEU, no. 3 (June 30, 2021): 22–32. http://dx.doi.org/10.17588/2072-2672.2021.3.022-032.

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There have been quite a few attempts to compute synchronous generator parameters based on voltage and current synchrophasors taken under power system transients. However, we have not seen any publications with thorough analysis as to how soon the phasor measurement unit reacts to disturbance conditions, which components of the transient are filtered out and which are passed through, as well as what the total vector error is. The goal of this research is to determine all of these characteristics of a phasor measurement unit when playing back transient oscillograms for a stator short circuit obtained through mathematical modeling. The transient oscillograms have been derived via both a full Park-Gorev system of flux linkage equations as well as the MATLAB/Simulink Synchronous Machine block. Physical modeling was then conducted via a real-time digital simulator (RTDS) along with a dedicated phasor measurement unit ENIP-2 (PMU), and the stator current phasors were recorded. Our analysis has shown that both RTDS and ENIP-2 (PMU) almost entirely filter out the exponentially decaying DC component of the fault current while closely following the periodical signal envelope. The total vector error has been estimated to become below 1–2 % after around 0,02–0,03 s into the fault when selecting the “P” class filters according to IEEE C37.118. We have come to a conclusion that synchrophasor measurements under power system disturbances could be utilized for estimating the synchronous, transient, and subtransient generator parameters. The selected synchronous machine model in the form of flux linkage equations is correct, as the obtained transient oscillograms are exactly the same as those produced by Simulink. “P” class phasor measurements can be recommended for representing transients in the stator circuit of a synchronous generator. The results of this investigation are meant to be employed for synchronous machine parameter estimation based on phasors sourced from RTDS and, hopefully, from phasor measurement units installed at power plants.

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Giotopoulos, Vasilis, and Georgios Korres. "Implementation of Phasor Measurement Unit Based on Phase-Locked Loop Techniques: A Comprehensive Review." Energies 16, no. 14 (July 18, 2023): 5465. http://dx.doi.org/10.3390/en16145465.

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The dynamic monitoring, control, and protection of modern power systems in real time require time-stamped electrical measurements to accurately estimate the bus voltage phasors using the state estimation function under normal and abnormal conditions. These measurements can be acquired by time-synchronized devices, known as phasor measurement units (PMUs). PMUs can measure bus voltage and branch current phasors of a three-phase network, as well as the frequency and the rate of change of frequency (ROCOF), with high speed, accuracy and time stamping provided by global positioning system (GPS) at the coordinated universal time (UTC). Various phasor estimation algorithms have been proposed in the literature, while most of them are concentrated in the discrete Fourier transform (DFT) algorithm, where an integer number of samples multiple of the nominal frequency is required for the computations. In cases where the frequency of the power grid deviates from its nominal value, the raw application of the DFT approach can lead to large errors during phasor estimation. Another approach of the phasor estimation is based on the phase-locked loop (PLL) techniques, widely used in grid tie inverters. PLL techniques can track dynamically (continuous time) the estimated frequency to the time-variant frequency of the power grid. A brief introduction to the basic concepts of the synchrophasor definition is provided, while the main DFT methods for synchrophasor estimation according to recent literature are mentioned. PLL-based PMU techniques are reviewed for both steady-state and dynamic conditions according to IEEE standards. In conclusion, the performance of PLL-based PMU algorithms presented in this literature review is discussed.

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Tang, Yi-hua, Gerard N. Stenbakken, and Allen Goldstein. "Calibration of Phasor Measurement Unit at NIST." IEEE Transactions on Instrumentation and Measurement 62, no. 6 (June 2013): 1417–22. http://dx.doi.org/10.1109/tim.2013.2240951.

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Ghiga, Radu, Kenneth Martin, Qiuwei Wu, and Arne Hejde Nielsen. "Phasor Measurement Unit Test Under Interference Conditions." IEEE Transactions on Power Delivery 33, no. 2 (April 2018): 630–39. http://dx.doi.org/10.1109/tpwrd.2017.2691356.

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Ponnala, Ravi, Muktevi Chakravarthy, and Suraparaju Venkata Naga Lakshmi Lalitha. "Effective monitoring of power system with phasor measurement unit and effective data storage system." Bulletin of Electrical Engineering and Informatics 11, no. 5 (October 1, 2022): 2471–78. http://dx.doi.org/10.11591/eei.v11i5.4085.

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In the recent years the monitoring and operation of the power system became complex, due to the more demand from the different linear and non-linear loads and generation from the different sources. For the effective monitoring and operation of the power system, existing power system monitoring methods need to improve or new technologies are required. For the effective monitoring and operation of the power system phasor measurement unit (PMU) based monitoring is suitable, because it provide the dynamic state monitoring system. In this paper PMU based monitoring is proposed with effective data storage system and protection. With this method phasor values of voltage and current signals are calculated at the location of PMU and with the help of software based program effective data storage also possible. With this proposed model the phasor values in the power system at different locations monitoring also possible and required phasor data only stored and total data is only monitored. The phasor values of signals are calculated with direct phasor measurement technique in LabVIEW and by adding time stamping to the each phasor value accurate measurement of power flow is possible.

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Pandey, Rachana, Dr H. K. Verma, Dr Arun Parakh, and Dr Cheshta Jain Khare. "Artificial Intelligence Based Optimal Placement of PMU." International Journal of Emerging Science and Engineering 10, no. 11 (October 30, 2022): 1–6. http://dx.doi.org/10.35940/ijese.i2541.10101122.

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The investigation of power system disturbances is critical for ensuring the supply’s dependability and security. Phasor Measurement Unit (PMU) is an important device of our power network, installed on system to enable the power system monitoring and control. By giving synchronised measurements at high sample rates, Phasor Measurement Units have the potential to record quick transients with high precision. PMUs are gradually being integrated into power systems because they give important phasor information for power system protection and control in both normal and abnormal situations. Placement of PMU on every bus of the network is not easy to implement, either because of expense or because communication facilities in some portions of the system are limited. Different ways for placing PMUs have been researched to improve the robustness of state estimate. The paper proposes unique phasor measurement unit optimal placement methodologies. With full network observability, the suggested methods will assure optimal PMU placement. The proposed algorithm will be thoroughly tested using IEEE 7, 9, 14, and 24 standard test systems, with the results compared to existing approaches.

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Pandey, Rachana, Dr H. K. Verma, Dr Arun Parakh, and Dr Cheshta Jain Khare. "Optimization of Phasor Measurement Unit (PMU) Placement: A Review." International Journal of Emerging Science and Engineering 7, no. 4 (November 30, 2021): 9–13. http://dx.doi.org/10.35940/ijese.e2518.117421.

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In today’s world, a Phasor Measurement Unit (PMU) is a crucial component of our power network for managing, controlling, and monitoring. PMU can provide synchronized voltage current, and frequency measurements in real time. We can't put a PMU in every bus in the electrical grid because it's not viable from a productivity and economic standpoint, and it's also not practical for handling huge data. As a result, it's critical to reduce the amount of PMU in the power network while also increasing the power network's observability. The optimal PMU placement problem is solved using a variety of methodologies. The paper's main goal is to provide a brief overview of synchrophasor technology, phasor measurement units (PMU), and optimal PMU placement in order to reduce the number of PMUs in the system while maintaining complete observability and application in today's power systems.

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DEKHANDJI, Fatma Zohra. "Design Optimization of PMU Anti-Aliasing Filters using Taguchi Method." Algerian Journal of Signals and Systems 5, no. 4 (December 15, 2020): 215–19. http://dx.doi.org/10.51485/ajss.v5i4.119.

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A Phasor Measurement Unit (PMU) is a monitoring device, which serves in checking the power system condition by measuring voltage and current phasors along with frequency at a particular node. The basic structure of PMU consists of Synchronization Unit, Measurement Unit and Data Transmission Unit. The Measurement Unit has three components: Anti-aliasing filters, Analog-to-Digital Converter and Phasor measurement Unit/ Processor. An anti-aliasing filter ensures that all the analog signals have the same phase shift and attenuation thus assuring that the phase angle differences and relative magnitudes of the different signals are unchanged. Anti-aliasing filters made up of an analog front end and a digital decimation filter are far more stable as far as aging and temperature variations are concerned. IEEE C37.118 standard stipulates that it is mandatory to use the filter for avoiding any aliasing errors. Out of various analog filters, the Butterworth has been preferred due to its flat response in pass-band as compared to other filters. In this work, it is attempted to design anti-aliasing filters to be used in PMUs. The design problem is formulated as an optimization task that is solved using the Taguchi method. The results show better performance in terms characteristics compared to the conventional filters. The designed filters may be employed as building blocks in modern PMUs.

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Hojabri, Mojgan, Ulrich Dersch, Antonios Papaemmanouil, and Peter Bosshart. "A Comprehensive Survey on Phasor Measurement Unit Applications in Distribution Systems." Energies 12, no. 23 (November 29, 2019): 4552. http://dx.doi.org/10.3390/en12234552.

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Synchrophasor technology opens a new window for power system observability. Phasor measurement units (PMUs) are able to provide synchronized and accurate data such as frequency, voltage and current phasors, vibration, and temperature for power systems. Thus, the utilization of PMUs has become quite important in the fast monitoring, protection, and even the control of new and complicated distribution systems. However, data quality and communication are the main concerns for synchrophasor applications. This study presents a comprehensive survey on wide-area monitoring systems (WAMSs), PMUs, data quality, and communication requirements for the main applications of PMUs in a modern and smart distribution system with a variety of energy resources and loads. In addition, the main challenges for PMU applications as well as opportunities for the future use of this intelligent device in distribution systems will be presented in this paper.

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Appasani, Bhargav, and Dusmanta Kumar Mohanta. "A two-stage Markov model–aided frequency-duration technique for reliability analysis of phasor measurement unit microwave communication networks." Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 233, no. 3 (July 20, 2018): 355–68. http://dx.doi.org/10.1177/1748006x18785685.

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The necessity for effective real-time monitoring and control, coupled with the developments in the fields of communication and sensor technologies, led to the emergence of the smart grid. The phasor measurement unit has emerged as an important sensor for the smart grid. The phasor measurement unit communication network is another crucial component which transfers the real-time sensor data measured by the phasor measurement unit to the phasor data concentrator for subsequent monitoring and control. Thus, its reliable operation is essential. The key parameters for assessment of reliability are the failure rate and the steady-state availability. This article presents a two-stage Markov model–aided frequency-duration technique for the reliability analysis of the phasor measurement unit microwave communication networks. Microwave communication network is a complex system as it requires several intermediate relaying towers or the microwave repeaters for communication feasibility. The Markov model explores the transition to the different system states and the frequency-duration approach estimates the frequency and duration of each of these states, thereby providing a simple and elegant means to compute the failure rates of a complex system. It provides a generalized expression for evaluating the systems availability and aids in diagnosing the components that are more prone to failure. Subsequently, this approach is used for the optimal placement of the phasor measurement units such that their resultant microwave communication networks are maximally available. Case study results for the Eastern power grid of India are presented to validate the credibility of the proposed approach.

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Parthasarathy, Hari Krishna Achuthan, Madhusudan Saranathan, Adhitya Ravi, M. C. Lavanya, and V. Rajini. "Comparative Analysis of Phasor Estimation Techniques for PMU Applications." Journal of Physics: Conference Series 2325, no. 1 (August 1, 2022): 012010. http://dx.doi.org/10.1088/1742-6596/2325/1/012010.

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Abstract Phasor Measurement Units (PMU) are valuable sources of data which increase the visibility into several fields of application such as power production, transmission and distribution. With the initial goal of obtaining phasor values at fixed points in the network and syncing it to a standard time frame, the technology has morphed into an all-encompassing unit, which has its uses in the field of protection, control and automation. With the application of these units becoming a standard benchmark, the improvement in the current available units is a huge requirement. This study presents a comprehensive analysis of various techniques that is used for the estimation of phasors.

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Zakri, Azriyenni Azhari, Rangga Eka Saputra, Makmur Saini, and Hidayat Hidayat. "Distributed Generation installed by the Phasor Measurement Unit to improve voltage." SINERGI 26, no. 1 (February 1, 2022): 37. http://dx.doi.org/10.22441/sinergi.2022.1.006.

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This study is intended to design a system connected to the Distributed Generation (DG) sourced from solar cells, using Matlab/Simulink. A Phasor Measurement Unit (PMU) is installed in the DG system to monitor the phasor voltage and current. Furthermore, the system comprises four buses with two 20 kV load voltages, two amplifying transformers, and four transmission lines. The DG's role is to keep the power supply to the load stable and improve power efficiency by reducing power losses on the network. However, in this network, the DG increases the current on each bus. Thus, affecting voltage increase on each bus, consequently increasing the stress experienced by both loads. The DG-connected system simulation on PMU-3 & PMU-4 has a minute error value of 0.02% and is slightly higher than the unconnected simulation. This comparison also shows the positive sequence values of the phasor currents as well as phasor voltages before and after the DG connection. The DG system connected to the PMU has monitored voltage and current for PLN and DG systems based on the simulation results. Therefore, installing the DG can increase the line voltage, especially on the load.

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Reis, Amanda Wohlfahrt, and Fernando Guilherme Kaehler Guarda. "Simulação de uma Unidade de Medição Fasorial em Tempo Real utilizando Typhoon Virtual HIL." Ciência e Natura 42 (February 7, 2020): 21. http://dx.doi.org/10.5902/2179460x40589.

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This paper aims to present a project to implement a phasor measurement unit (PMU), which is the main component in the synchronized phasor measurement system. This measurement technology aims to bring significant gains to the operation of electrical systems, since it allows to simultaneously measure magnitudes and phase angles of voltage and current at geographically distant points from the electrical system. So, the paper reports the use of filters in obtaining PMU measurements. In this way, it is intended to implement the PMU in the Typhoon Virtual HIL software.

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Mingotti, Alessandro, Federica Costa, Lorenzo Peretto, and Roberto Tinarelli. "Closed-Form Expressions to Estimate the Mean and Variance of the Total Vector Error." Energies 14, no. 15 (July 30, 2021): 4641. http://dx.doi.org/10.3390/en14154641.

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The need for accurate measurements and for estimating the uncertainties associated with measures are two pillars for researchers and metrologists. This is particularly true in distribution networks due to a mass deployment of new intelligent electronic devices. Among such devices, phasor measurement units are key enablers for obtaining the full observability of the grid. The phasor measurement unit performance is mostly evaluated by means of the total vector error, which combines the error on amplitude, phase, and time. However, the total vector error is typically provided merely as a number, that could vary within an unknown interval. This may result into the phasor measurement unit incompliance with the final user expectancies. To this purpose, and with the aim of answering practical needs from the industrial world, this paper presents a closed-form expression that allows us to quantify, in a simple way, the confidence interval associated with the total vector error. The input required by the expression is the set of errors that typically affects the analog to digital converter of a phasor measurement unit. The obtained expression has been validated by means of the Monte Carlo method in a variety of realistic conditions. The results confirm the applicability and effectiveness of the proposed expression. It can be then easily implemented in all monitoring device algorithms, or directly by the manufacturer to characterize their devices, to solve the lack of knowledge that affects the total vector error computation.

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Thakre, Mohan, Akbar Ahmad, and Kishor Bhadane. "Measurement Class Phasor Measurement Unit Compliance for Electrical Grid Monitoring." MAPAN 37, no. 1 (October 11, 2021): 125–35. http://dx.doi.org/10.1007/s12647-021-00440-6.

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Zhang, Wen Jun, Jian Jun Xu, and Long Xing. "The Method of Optimal Phasor Measurement Unit Placement." Advanced Materials Research 798-799 (September 2013): 298–301. http://dx.doi.org/10.4028/www.scientific.net/amr.798-799.298.

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Taking the full network observability of power system and the least number of PMU as objective, to appearing fault situation in the grid, this paper proposes Differential Evolution and Particle Swarm Optimization (DEPSO) algorithm in view of the system failure rate. The improved DEPSO algorithm is global optimization, the algorithm takes the constraint condition of fault rate into account during the course of seeking optimal solutions. At the end, through the examples show that the algorithm compares with the existing optimization methods, which can reduce the number of PMU configuration and achieve completely observability of the system, at the same time, and stable operation of the system, through the simulation results verify feasibility and valibity of the algorithm.

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Yaqub, Raziq, Mohamed Ali, and Hassan Ali. "DC Microgrid Utilizing Artificial Intelligence and Phasor Measurement Unit Assisted Inverter." Energies 14, no. 19 (September 24, 2021): 6086. http://dx.doi.org/10.3390/en14196086.

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Community microgrids are set to change the landscape of future energy markets. The technology is being deployed in many cities around the globe. However, a wide-scale deployment faces three major issues: initial synchronization of microgrids with the utility grids, slip management during its operation, and mitigation of distortions produced by the inverter. This paper proposes a Phasor Measurement Unit (PMU) Assisted Inverter (PAI) that addresses these three issues in a single solution. The proposed PAI continually receives real-time data from a Phasor Measurement Unit installed in the distribution system of a utility company and keeps constructing a real-time reference signal for the inverter. To validate the concept, a unique intelligent DC microgrid architecture that employs the proposed Phasor Measurement Unit (PMU) Assisted Inverter (PAI) is also presented, alongside the cloud-based Artificial Intelligence (AI), which harnesses energy from community shared resources, such as batteries and the community’s rooftop solar resources. The results show that the proposed system produces quality output and is 98.5% efficient.

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Bentarzi, Hamid, Meriam Mahboubi, and Abderrahmane Ouadi. "Study of Different Estimation Techniques for a Micro-Phasor Measurement Unit Implementation." International Journal on Applied Physics and Engineering 1 (December 31, 2022): 17–24. http://dx.doi.org/10.37394/232030.2022.1.3.

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Distribution power networks are very complex, due to the great number nodes, short distances, and small amplitude and phase angle differences between nodes, faster dynamics and lack of standard documentation. Thus, these complexities have raised the need to develop new Phasor Measurement Unit (PMU) called Micro-Phasor Measurement Unit (μPMU) with high accuracy and high precision. In this work, several estimation techniques have been investigated so far for improving effectiveness and accuracy of this micro-PMU.

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Affijulla, Shaik, and Praveen Tripathy. "Development of Dictionary-Based Phasor Estimator Suitable for P-Class Phasor Measurement Unit." IEEE Transactions on Instrumentation and Measurement 67, no. 11 (November 2018): 2603–15. http://dx.doi.org/10.1109/tim.2018.2824545.

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Schofield, David, Debashish Mohapatra, Harold R. Chamorro, Juan Manuel Roldan-Fernandez, Kouzou Abdellah, and Francisco Gonzalez-Longatt. "Design and Implementation of Low-Cost Phasor Measurement Unit: PhasorsCatcher." Energies 15, no. 9 (April 26, 2022): 3172. http://dx.doi.org/10.3390/en15093172.

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The need for Phasor Measurement Units (PMUs) is rising as renewable energy sources become more prevalent in power networks since the rate of change of frequency is being deteriorated. Appropriate and accurate network measurements are a requirement for the precise monitoring and control of the system. This paper presents a low-cost PMU development, the so-called PhasorsCatcher, for the frequency and rate of change of frequency measurements in power networks, using sufficient but straightforward modular and reconfigurable friendly technology for its implementation. The entire hardware design, schematics, and instrumentation components are shown. Moreover, the visualisation has been calibrated and verified through an experimentation set-up and the existing electrical and communication standards.

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Schofield, David, Debashish Mohapatra, Harold R. Chamorro, Juan Manuel Roldan-Fernandez, Kouzou Abdellah, and Francisco Gonzalez-Longatt. "Design and Implementation of Low-Cost Phasor Measurement Unit: PhasorsCatcher." Energies 15, no. 9 (April 26, 2022): 3172. http://dx.doi.org/10.3390/en15093172.

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The need for Phasor Measurement Units (PMUs) is rising as renewable energy sources become more prevalent in power networks since the rate of change of frequency is being deteriorated. Appropriate and accurate network measurements are a requirement for the precise monitoring and control of the system. This paper presents a low-cost PMU development, the so-called PhasorsCatcher, for the frequency and rate of change of frequency measurements in power networks, using sufficient but straightforward modular and reconfigurable friendly technology for its implementation. The entire hardware design, schematics, and instrumentation components are shown. Moreover, the visualisation has been calibrated and verified through an experimentation set-up and the existing electrical and communication standards.

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Zheng, Wen, Yun Bo Zhang, Ye Xue, and Yong Xu. "Research on Application of Synchronized Phasor Measurement Unit (PMU) for Smart Substation." Advanced Materials Research 860-863 (December 2013): 1842–45. http://dx.doi.org/10.4028/www.scientific.net/amr.860-863.1842.

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Synchronized phasor measurement unit (PMU) has become the important monitoring device in power networks for high precision and accurate time tag of measurement data. This paper presents the PMUs suitable for smart substation which adopt embedded software-hardware platform. The differences between the common PMUs and PMUs for smart substation are introduced, and the software modules design is put forward, too. The key technology of PMUS is introduced including receiving and processing of sampling data message based on IEC 61850 standard and phasor calculation based on discrete Fourier transform.

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Tran, Van-Khoi, and He-Sheng Zhang. "Optimal Placement of Phasor Measurement Unit based on Bus Observation Reliability." Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) 12, no. 1 (January 10, 2019): 68–78. http://dx.doi.org/10.2174/2352096511666180508143702.

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Background: Meter placement, which can determine sufficient measurements for the successful estimate implementation, plays a crucial role for state estimation of the power system. For ensuring the robustness of state estimation against bad data in measurements, fail data from attackers and loss of measures; the measurement redundancies are necessary. Methods: This paper proposes a new method based on the observation reliability criteria of the bus to solve the optimal meter placement problem in the power network. The goal of this work is to enhance the effect of measurement redundancies and achieve any desired rates of robustness for state estimation. Regarding the practicability of the method, some practical aspects, such as zero injection bus, the presence of conventional measurements, the change of network's topology, or computational time, were also considered. Result: The simulations on IEEE RTS 96, 14-bus, 30-bus, 57-bus and 2383-bus test systems were tested for evaluating the effect of the proposed approach. The simulated results showed that the proposed method is flexible, practical and feasible in solving the meter placement problem for real power networks. Conclusion: Based on the observation reliability of buses we can enhance the effect of redundancy significantly and achieve any desired robust rates of state estimation.

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Delle Femine, Antonio, Daniele Gallo, Carmine Landi, and Mario Luiso. "The Design of a Low Cost Phasor Measurement Unit." Energies 12, no. 14 (July 10, 2019): 2648. http://dx.doi.org/10.3390/en12142648.

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The widespread diffusion of Phasor Measurement Units (PMUs) is a becoming a need for the development of the “smartness” of power systems. However, PMU with accuracy compliant to the standard Institute of Electrical and Electronics Engineers (IEEE) C37.118.1-2011 and its amendment IEEE Std C37.118.1a-2014 have typically costs that constitute a brake for their diffusion. Therefore, in this paper, the design of a low-cost implementation of a PMU is presented. The low cost approach is followed in the design of all the building blocks of the PMU. A key feature of the presented approach is that the data acquisition, data processing and data communication are integrated in a single low cost microcontroller. The synchronization is obtained using a simple external Global Positioning System receiver, which does not provide a disciplined clock. The synchronization of sampling frequency, and thus of the measurement, to the Universal Time Coordinated, is obtained by means of a suitable signal processing technique. For this implementation, the Interpolated Discrete Fourier Transform has been used as the synchrophasor estimation algorithm. A thorough metrological characterization of the realized prototype in different test conditions proposed by the standards, using a high performance PMU calibrator, is also shown.

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Wang, Yang, Wenyuan Li, Peng Zhang, Bing Wang, and Jiping Lu. "Reliability Analysis of Phasor Measurement Unit Considering Data Uncertainty." IEEE Transactions on Power Systems 27, no. 3 (August 2012): 1503–10. http://dx.doi.org/10.1109/tpwrs.2012.2183901.

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Khorashadi Zadeh, Hassan, and Zuyi Li. "Phasor measurement unit based transmission line protection scheme design." Electric Power Systems Research 81, no. 2 (February 2011): 421–29. http://dx.doi.org/10.1016/j.epsr.2010.10.009.

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da Silva, Raphael Philipe Mendes, Alexandre Cláudio Botazzo Delbem, and Denis Vinicius Coury. "Evolutionary Computation Techniques Applied to Phasor Measurement Unit Design." Journal of Control, Automation and Electrical Systems 24, no. 4 (June 11, 2013): 573–83. http://dx.doi.org/10.1007/s40313-013-0051-0.

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Jena, Premalata, and Ashok Kumar Pradhan. "Reducing current transformer saturation effect in phasor measurement unit." International Transactions on Electrical Energy Systems 26, no. 7 (October 6, 2015): 1397–407. http://dx.doi.org/10.1002/etep.2152.

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Soto, Ismael, Rafael Nilson Rodrigues, Gabriel Massuyama, Fabian Seguel, Pablo Palacios Játiva, Cesar A. Azurdia-Meza, and Nicolas Krommenacker. "A Hybrid VLC-RF Portable Phasor Measurement Unit for Deep Tunnels." Sensors 20, no. 3 (January 31, 2020): 790. http://dx.doi.org/10.3390/s20030790.

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In this manuscript we propose a hybrid Visible Light Communication and Radio Frequency (VLC-RF) scheme for the implementation of a portable Phaser Measurement Unit (PMU) for deep underground tunnels. Through computer simulations and laboratory measurements we are capable of providing Coordinated Universal Time (UTC) to the PMUs, as well as high accuracy positioning in a Global Positioning System (GPS) denied environment. The estimated PMU position, time stamp, and electrical power system measurements are sent to a central monitoring station using a radio frequency uplink with a data rate of hundreds of Kbps. Simulations and experimental measurements show that the proposed scheme can be used to control a large number of VLC-RF PMU devices inside a tunnel. The tests demonstrate the viability of the hybrid prototype, which will improve performance compared to commercial PMUs that lack these features.

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Rahmati, Abouzar. "Accurate Real-Time Measurements of the Smart Grid Phasor Measurement Unit Parameters." Electric Power Components and Systems 44, no. 16 (September 9, 2016): 1815–24. http://dx.doi.org/10.1080/15325008.2015.1114049.

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Qin, Chuan, Zhijie Nie, P. Banerjee, and Anurag K. Srivastava. "End-to-End Remote Field Testing of Phasor Measurement Units Using Phasor Measurement Unit Performance Analyzer Test Suite." IEEE Transactions on Industry Applications 56, no. 6 (November 2020): 7067–76. http://dx.doi.org/10.1109/tia.2020.3019994.

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Al-Momani, Mohammad, Amneh Almbaideen, Seba Al-Gharaibah, Khaled Al-Awasa, and Allahham Ahmed. "Global-Binary Algorithm; New Optimal Phasor Measurement Unit Placement Algorithm." Jordan Journal of Energy 1, no. 1 (September 6, 2022): 72–86. http://dx.doi.org/10.35682/jje.v1i1.4.

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This paper proposes a new algorithm for the optimal placement of the phasor measurement unit. The proposed algorithm is based on the concept of finite space solution of any binary problem. This algorithm has considered all possible cases; therefore, the possibility of obtaining a global solution is very high. The large system is divided into several subsystems. The buses (transmission lines) connected between the subsystems are called interconnected buses (lines). The proposed algorithm is implemented through two steps. First step identifies the optimal placement for each subsystem by checking on all possible solutions, the overall optimal placement for the entire system is gathered in the second step. Finally, all possible placements of the phasor measuring units with the optimal numbers are identified to select the best placement based on the user applications. In this work, the Jordanian power system is considered as a case study to validate the proposed algorithm. Four algorithms in the literature are used for the comparison using different IEEE test systems. The algorithm is computed in MATLAB 2020a.

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Zuo, Wen, Ying Shao, Li Ming Wang, and Ming Lei. "Ship Synchronized Phasor Measurement Method Based on TTCAN." Advanced Materials Research 601 (December 2012): 139–43. http://dx.doi.org/10.4028/www.scientific.net/amr.601.139.

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Synchronized Phasor Measurement Unit with CAN bus can be used to phasor acquisition and real-time dynamic monitoring of ship power system. As it is known to all, traditional CAN communication is based on event-triggered mechanism. Message transmission will be delayed when there are a lot of messages in CAN bus. This paper used TTCAN protocol to synchronize the master and slave clock nodes based on STM32 microcontrollers. A Fast Fourier transform of AD samples was been done and transferred to host computer through CAN bus which reflects the real-time running status of system well.

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Gao, Fenghua, James S. Thorp, Shibin Gao, Anamitra Pal, and Katelynn A. Vance. "A Voltage Phasor Based Fault-classification Method for Phasor Measurement Unit Only State Estimator Output." Electric Power Components and Systems 43, no. 1 (November 20, 2014): 22–31. http://dx.doi.org/10.1080/15325008.2014.956951.

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Krishnan, Kiruthika, and Srivani Iyengar. "Fault detection in an interconnected power system using optimal number of phasor measurement unit." International Journal of Power Electronics and Drive Systems (IJPEDS) 13, no. 4 (December 1, 2022): 2109. http://dx.doi.org/10.11591/ijpeds.v13.i4.pp2109-2119.

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<p>Fault identification in a power system is crucial. In recent days, there have been multiple microgrids connected to the power system. And if many buses are connected, then there is a need for an increase in the phasor measurement unit. By using an optimization technique, the number of phasor measurement unit PMUs can be reduced by placing them optimally. In this paper, the fault detection algorithm is implemented using a reduced number of PMUs with the help of the particle swarm optimization (PSO) algorithm. The optimal locations of PMUs are identified using the PSO algorithm. Here, the reduction in the count of PMUs and the PMUs are designed in MATLAB as a model. This is done using the Simulink and dashboard block sets. The IEEE 9 and IEEE 30 test systems are used here for the analysis and tests. The IEEE 9 bus system is constructed in simulation and then the PMU is constructed using the data taken from the phasor measurement blocks. This data is used in the dashboard block set to represent the PMU-based fault detection system.</p>

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R., Dr Nafeena. "Design and Online Re-tuning of Power System Stabilizers Using Phasor Measurement Unit." Journal of Advanced Research in Dynamical and Control Systems 12, SP4 (March 31, 2020): 1147–55. http://dx.doi.org/10.5373/jardcs/v12sp4/20201588.

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Yaqub, Raziq. "Phasor Measurement Unit Assisted Inverter—A Novel Approach for DC Microgrids Performance Enhancement." Electricity 2, no. 3 (August 24, 2021): 330–41. http://dx.doi.org/10.3390/electricity2030020.

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DC microgrids are set to change the landscape of future energy markets. However, a wide-scale deployment faces three major issues: initial synchronization of microgrid with the utility grid, slip management during its operation, and mitigation of distortions produced by the inverter. This paper proposes a Phasor Measurement Unit (PMU) Assisted Inverter (PAI) that addresses these three issues in a single solution. The proposed PAI continually receives real-time data from a Phasor Measurement Unit installed in the distribution system of a utility company and keeps constructing a real-time reference signal for the inverter. A well-constructed, real-time reference signal plays a vital role in addressing the above issues. The results show that the proposed PAI is 97.95% efficient.

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Greber, Márton, Attila Fodor, and Attila Magyar. "Phasor measurement unit based local fault detection in distribution systems." IFAC-PapersOnLine 55, no. 9 (2022): 36–41. http://dx.doi.org/10.1016/j.ifacol.2022.07.007.

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TRAN, Van-Khoi, He-sheng ZHANG, and Van-Nghia NGUYEN. "Optimal Placement of Phasor Measurement Unit for Observation Reliability Enhancement." Journal of Electrical Engineering and Technology 12, no. 3 (May 1, 2017): 996–1006. http://dx.doi.org/10.5370/jeet.2017.12.3.996.

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Yuehai, Yu, Ma Ying, and Shi Yuxiang. "The Research of Synchronized Phasor Measurement Unit Testing and Evaluation." Journal of International Council on Electrical Engineering 1, no. 4 (October 2011): 418–24. http://dx.doi.org/10.5370/jicee.2011.1.4.418.

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Halim, Levin, Nanang Hariyanto, and Muhammad Nurdin. "Penempatan Phasor Measurement Unit untuk Menentukan Prediksi Margin Kestabilan Tegangan." Jurnal Nasional Teknik Elektro dan Teknologi Informasi (JNTETI) 8, no. 1 (March 8, 2019): 85. http://dx.doi.org/10.22146/jnteti.v8i1.494.

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Amirul Arefin, Ahmed. "Determining Islanding Operation Using Micro Grid Phasor Measurement Unit Parameters." International Journal of Emerging Trends in Engineering Research 8, no. 1.1 (September 15, 2020): 97–101. http://dx.doi.org/10.30534/ijeter/2020/1581.12020.

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Nuqui, R. F., and A. G. Phadke. "Phasor Measurement Unit Placement Techniques for Complete and Incomplete Observability." IEEE Transactions on Power Delivery 20, no. 4 (October 2005): 2381–88. http://dx.doi.org/10.1109/tpwrd.2005.855457.

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Chatterjee, Paroma, Anamitra Pal, James S. Thorp, Jaime De La Ree Lopez, and Virgilio A. Centeno. "Error reduction of phasor measurement unit data considering practical constraints." IET Generation, Transmission & Distribution 12, no. 10 (May 29, 2018): 2332–39. http://dx.doi.org/10.1049/iet-gtd.2017.1359.

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Malpani, Rohit, Zaheer Abbas, and K. Shanti Swarup. "High Precision Frequency Estimation Using Internet-Based Phasor Measurement Unit." IEEE Transactions on Power Systems 25, no. 2 (May 2010): 607–14. http://dx.doi.org/10.1109/tpwrs.2009.2031317.

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Lai, Chao-Yuan, Tien-Yen Yang, and Chih-Wen Liu. "Performance of Implementing Smart DFT in Micro Phasor Measurement Unit." E3S Web of Conferences 69 (2018): 01005. http://dx.doi.org/10.1051/e3sconf/20186901005.

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The advance of the signal processing, this paper implement a more accurate digital measurement algorithm, Smart DFT(SDFT) in Micro Phasor Measurement Unit(μPMU), which is based on Discrete Fourier Transforms(DFT) to estimate frequency information from Taiwan power system. μPMU, the sensor we plan to acquire the information from the power system by using the signal of outlet voltage-level 110V in Taiwan, such as frequency, voltage and angle. The performance of SDFT implemented in μPMU represents a more precise frequency information when frequency fluctuation occurred just as the frequency of power system. We offer the results of simulations, stable frequency generated from waveform generator and real frequency from main electricity to compare SDFT with DFT method which implemented in μPMU.

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Murthy, Cherukuri, Anvesha Mishra, Debomita Ghosh, Diptendu Sinha Roy, and Dusmanta Kumar Mohanta. "Reliability Analysis of Phasor Measurement Unit Using Hidden Markov Model." IEEE Systems Journal 8, no. 4 (December 2014): 1293–301. http://dx.doi.org/10.1109/jsyst.2014.2314811.

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Eliwa, A. "DESIGN AND IMPLEMENTATION OF A POWER SYSTEM PHASOR MEASUREMENT UNIT." International Conference on Aerospace Sciences and Aviation Technology 12, ASAT CONFERENCE (May 1, 2007): 1–15. http://dx.doi.org/10.21608/asat.2007.23971.

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Journal articles on the topic 'Phasor measurement unit'

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