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1

Arun Kumar, T., V. Suryanarayana Reddy, P. Dhana Selvi, B. Krishnakanth, and G. Sudeep. "PSO and GSS algorithms are used to arrange DG optimally for voltage profile enhancement and loss reduction." E3S Web of Conferences 547 (2024): 01013. http://dx.doi.org/10.1051/e3sconf/202454701013.

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This project looks at the best locations for Distributed Generation (DG) units in power distribution networks to reduce system losses and simultaneously enhance voltage profiles. The suggested methodology makes use of a hybrid optimization approach that blends fuzzy logic with the Particle Swarm Optimization (PSO) and Golden Section Search Algorithm (GSS). To evaluate the effectiveness and robustness of the suggested method, the study focuses on the IEEE-15 bus and IEEE-69 bus systems as test cases. This project thoroughly evaluates the suggested methodology on the IEEE-15 bus and IEEE-69 bus
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Akmal Zuhdi, Muhammad, and Faiz Husnayain. "Power Flow Analysis in Unbalanced Three-Phase Distribution Systems using Backward/Forward Sweep and Current Injection Methods." ELKHA 16, no. 2 (2024): 107. http://dx.doi.org/10.26418/elkha.v16i2.82179.

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The electrical power distribution system is a part of the power system that distributes electricity from the transmission network to customers. In the distribution system, imbalances often occur due to the varying load profiles in each phase. This can cause voltage imbalances in the distribution system. This study aims to compare two power flow analysis methods, Backward/Forward Sweep and Current Injection. The study analyses the voltage and power loss conditions on each phase at each bus and line in the three-phase distribution system under unbalanced conditions. Simulations were conducted on
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Wadood, Khurshaid, Farkoush, Yu, Kim, and Rhee. "Nature-Inspired Whale Optimization Algorithm for Optimal Coordination of Directional Overcurrent Relays in Power Systems." Energies 12, no. 12 (2019): 2297. http://dx.doi.org/10.3390/en12122297.

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In power systems protection, the optimal coordination of directional overcurrent relays (DOCRs) is of paramount importance. The coordination of DOCRs in a multi-loop power system is formulated as an optimization problem. The main objective of this paper is to develop the whale optimization algorithm (WOA) for the optimal coordination of DOCRs and minimize the sum of the operating times of all primary relays. The WOA is inspired by the bubble-net hunting strategy of humpback whales which leads toward global minima. The proposed algorithm has been applied to six IEEE test systems including the I
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Irfan, Muhammad, Seung-Ryle Oh, and Sang-Bong Rhee. "An Effective Coordination Setting for Directional Overcurrent Relays Using Modified Harris Hawk Optimization." Electronics 10, no. 23 (2021): 3007. http://dx.doi.org/10.3390/electronics10233007.

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The relay optimization expresses quite a challenge for smooth and optimal operation of power system networks. The relay optimization is formulated as a mixed integer non-linear problem and is highly constrained. Furthermore, a reliable relaying system must be able to detect and isolate the faulted portion in a timely manner. Therefore, it is necessary to find optimal parameters for relay settings to be able to respond in a timely way to the encountered fault and at the same time keep in consideration the operational and coordination constraints. This paper proposes modified Harris hawk optimiz
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Ramadan, Ashraf, Mohamed Ebeed, Salah Kamel, Mohamed I. Mosaad, and Ahmed Abu-Siada. "Technoeconomic and Environmental Study of Multi-Objective Integration of PV/Wind-Based DGs Considering Uncertainty of System." Electronics 10, no. 23 (2021): 3035. http://dx.doi.org/10.3390/electronics10233035.

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For technological, economic, and environmental reasons, renewable distributed generators (RDGs) have been extensively used in distribution networks. This paper presents an effective approach for technoeconomic analysis of optimal allocation of REDGs considering the uncertainties of the system. The primary issue with renewable-based distributed generators, especially wind and photovoltaic systems, is their intermittent characteristic that results in fluctuating output power and, hence, increasing power system uncertainty. Thus, it is essential to consider the uncertainty of such resources while
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Villarreal, Marco Israel Zuñiga, Alexander Aguila Téllez, Narayanan Krishnan, and Marcelo García. "Expansion Planning of Electrical Distribution Systems Considering Voltage Quality and Reliability Criteria." Energies 18, no. 11 (2025): 2822. https://doi.org/10.3390/en18112822.

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This study aimed to assess the power capacity of electrical conductors under the long-term expansion of distribution systems over a 10-year horizon by considering voltage quality constraints and reliability indicators. The MATPOWER library in Matlab was employed, along with the IEEE 15-bus and 33-bus distribution system test cases. A 5% annual load growth was simulated for each system, which involved analyzing key parameters, such as the power loss, voltage deviation, and average failure rate. An algorithm was developed to perform a multi-criteria analysis, which provided optimal solutions for
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Ch.Lenin, Babu* G.Hanumantha Reddy P.Vinod Kumar. "ANALYSIS AND IMPLEMENTATION OF D-SSVR FOR LOAD FLOW SOLUTION IN RADIAL DISTRIBUTION SYSTEMS." Global Journal of Engineering Science and Research Management 4, no. 5 (2017): 136–44. https://doi.org/10.5281/zenodo.801285.

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In this paper, optimal location of Static Series Voltage Regulator (SSVR),a member of D-FACTS devices family, for voltage improvement and loss reduction in distribution system, is implemented. A simple and modified method for node and line identification used in load flow calculations for solving radial distribution network is presented. In order to minimize line losses of power systems, it is crucially important to define the location of SSVR to be placed in the given distribution system. D-SSVR is a distribution static Series voltage regulator, which corrects the voltage magnitude at the loa
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Sengupta, D., and A. Datta. "Validation of optimal electric vehicle charging station allotment on IEEE 15-bus system." Electrical Engineering & Electromechanics, no. 3 (June 23, 2021): 68–73. http://dx.doi.org/10.20998/2074-272x.2021.3.11.

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Introduction. The diminishing conventional energy resources and their adverse environmental impacts compelled the researchers and industries to move towards the nonconventional energy resources. Consequently, a drastic paradigm shift is observed in the power and transportation sectors from the traditional fossil fuel based to the renewable energy-based technologies. Considering the proliferation of electric vehicles, the energy companies have been working continuously to extend electric vehicle charging facilities. Problem. Down the line, the inclusion of electric vehicle charging stations to
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D., Sengupta, and Datta A. "Validation of optimal electric vehicle charging station allotment on IEEE 15-bus system." Electrical Engineering & Electromechanics, no. 3 (June 25, 2021): 68–73. https://doi.org/10.20998/2074-272X.2021.3.11.

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<strong><em>Introduction.&nbsp;</em></strong><em>The diminishing conventional energy resources and their adverse environmental impacts compelled the researchers and industries to move towards the nonconventional energy resources. Consequently, a drastic paradigm shift is observed in the power and transportation sectors from the traditional fossil fuel based to the renewable energy-based technologies. Considering the proliferation of electric vehicles, the energy companies have been working continuously to extend electric vehicle charging facilities.&nbsp;<strong>Problem</strong>. Down the line
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Kamble, Vijaykumar, Vandana Navale, Varsha Dange, and Archana Chaudhari. "An Analysis of cyber threats in distributed energy power networks." International Journal of Basic and Applied Sciences 14, no. 2 (2025): 49–57. https://doi.org/10.14419/0cz1w646.

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The power demand has increased dramatically in recent years. Conventional power generation provides about 80% of the world's energy. Distribution networks are essential to the electrical grid system because they link consumers to the transmission system. Distribution networks require careful planning since they are vast and complex. Congestion in the distribution network quickly affects the network's voltage profile as power demand increases, leading to power outages and delayed power delivery. Since Active Distribution Networks (ADNs) are more vulnerable to cyberattacks due to their integrati
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Campos, Italo Ramon da Costa, and Filipe Saraiva. "Reactive multi-agent system applied to self-healing in Smart Grids." Revista de Informática Teórica e Aplicada 27, no. 2 (2020): 127–39. http://dx.doi.org/10.22456/2175-2745.97479.

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This paper presents a decentralized algorithm for application in the smart grids self-healing problem, at the distribution level. The algorithm implementation is made using a reactive multi-agent system, which models the electrical grid in terms of autonomous agents which perform the algorithm operations in a distributed and parallel way. To validate this algorithm, two distribution network test models are used: a 15 bus model and a 33 bus model — standardized by IEEE. The results are obtained by means of computational simulation and shown in this paper, to each one of the network models. The
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Tahir, Muhammad Junaid, Muhammad Babar Rasheed, and Mohd Khairil Rahmat. "Optimal Placement of Capacitors in Radial Distribution Grids via Enhanced Modified Particle Swarm Optimization." Energies 15, no. 7 (2022): 2452. http://dx.doi.org/10.3390/en15072452.

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This paper presents the integration of shunt capacitors in the radial distribution grids (RDG) with constant and time-varying load consideration for the reduction of power losses and total annual cost, which turns to enhance the voltage profile and annual net savings. To gather the stated goals, three objective functions are formulated with system constraints. To solve this identified problem, a novel optimization technique based on the modification of particle swarm optimization is proposed. The solution methodology is divided into two phases. In phase one, potential candidate buses are nomin
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Aondoungwa, Agbo,, and Alabi, Isaac Ibitayo. "Optimized Proportional Integral Derivative Based Power System Stabilizer Using Jaya Algorithm for Angular Stability Enhancement." Journal of Engineering Research and Reports 26, no. 4 (2024): 18–32. http://dx.doi.org/10.9734/jerr/2024/v26i41110.

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This study presents an optimized Proportional Integral Derivative Based Power System Stabilizer (PIDPSS) using Jaya Algorithm for angular stability enhancement. Jaya algorithm introduced by Rao, is an optimization technique with few control parameters which is used to minimize the objective function F(K). The modeling and simulation were done using Matlab /Simulink software version R2021b on IEEE 14-Bus system and Single Machine Infinite Bus (SMIB). A three-phase fault was introduced into the network at system runtime of 5s with a fault clearing time of 0.1s. The result of the simulation of th
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MOHAMMED, Ridha Djamel, Miloud KADDOURI, and Abdelkader BELADEL. "Coordination of Directional Overcurrent Relays using Growth Optimizer." Electrotehnica, Electronica, Automatica 72, no. 1 (2024): 60–71. http://dx.doi.org/10.46904/eea.24.72.1.1108007.

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The protection system plays a crucial role in the generation, transmission, and distribution systems of a power network. Among various protection relay types, Directional Overcurrent Relays (DOCRs) are the most used. When abnormal conditions are detected, these relays trigger the tripping of protection devices by detecting the direction and magnitude of current flow and isolating faulty parts of the system. The present article proposes a novel approach for the coordination and settings of DOCRs using the Growth Optimizer (GO) algorithm; the main objective is to minimize the sum of operation ti
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Fatima, Kehkashan, and Hussain Shareef. "Dynamic Bayesian Network Model for Overhead Power Lines Affected by Hurricanes." Forecasting 7, no. 1 (2025): 11. https://doi.org/10.3390/forecast7010011.

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This paper investigates the dynamics of Hurricane-Induced Failure (HIF) by developing a probabilistic framework using a Dynamic Bayesian Network (DBN) model. The model captures the complex interplay of factors influencing Hurricane Wind Speed Intensity (HWSI) and its impact on asset failures. In the proposed DBN model, the pole failure mechanism is represented using Bayesian probabilistic principles, encompassing bending elasticity endurance and the foundational strength of the system poles. To characterize the stochastic properties of HIF, Monte Carlo simulation (MCS) is employed in conjuncti
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Alsakati, Ahmad Adel, Chockalingam Aravind Vaithilingam, and Jamal Alnasseir. "Transient Stability Assessment of IEEE 9-Bus System Integrated Wind Farm." MATEC Web of Conferences 335 (2021): 02006. http://dx.doi.org/10.1051/matecconf/202133502006.

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The use of wind energy is increased due to the high demand for sustainable energy. The penetration of wind energy in electrical networks might have several effects on load flow and power system stability. In this research, the transient stability of the IEEE 9-Bus system integrated with Doubly Fed Induction Generator (DFIG) is analyzed. Additionally, different penetration levels of a wind farm are considered. With a 5% penetration of wind energy, the maximum power angle of the synchronous generator is around 129 deg, which is quite similar to the existing system. In contrast, the power angle i
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Haripuddin, Haripuddin, Al Imran, Zulhajji Zulhajji, and Muliaty Yantahin. "Analysis of a Balanced Short Circuit on a Sulbagsel Electrical System by Using The FFA-ABC Method Approach." Journal of Applied Engineering and Technological Science (JAETS) 5, no. 1 (2023): 112–41. http://dx.doi.org/10.37385/jaets.v5i1.2106.

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Fault studies are an important part of electrical power system analysis. The purpose of this study was to determine the amount of line current at the point of disturbance when a three-phase balanced fault occurs in the real Sulbagsel electrical system. In this paper, a new hybrid FFA-ABC (Fruit Fly Algorithm-Artificial Bee Colony) method is proposed, which is one of the new methods used to calculate balanced three-phase short circuit currents in electric power systems, especially in the real Sulbagsel electrical system of South Sulawesi, Indonesia. The real electricity system of Sulbagsel was
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18

Rashid Zaidan, Majeed. "Distribution system reliability enhancement by using grid upgrading technology." International Journal of Engineering & Technology 7, no. 4 (2019): 6427–31. http://dx.doi.org/10.14419/ijet.v7i4.21052.

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Losses are essential threat to power system reliability and worthiness; such disturbances are raised form generation plants until destination and end users. Power loss due to load variation is studied in this paper when radial distribution system is considerable; load is arranging among feed-forward nodes and hence losses may be developed due to overload in any particular node. As the radial system is involved, any changing of network topology yields a noticeable improvement on reliability. More topologies are resulted by changing the feeder switching status. IEEE 16 bus-bar radially structure
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Montoya, Oscar Danilo, Jorge Alexander Alarcon-Villamil, and Jesus C. Hernández. "Operating Cost Reduction in Distribution Networks Based on the Optimal Phase-Swapping including the Costs of the Working Groups and Energy Losses." Energies 14, no. 15 (2021): 4535. http://dx.doi.org/10.3390/en14154535.

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The problem of optimal phase-balancing in three-phase asymmetric distribution networks is addressed in this research from the point of view of combinatorial optimization using a master–slave optimization approach. The master stage employs an improved sine cosine algorithm (ISCA), which is entrusted with determining the load reconfiguration at each node. The slave stage evaluates the energy losses for each set of load connections provided by the master stage by implementing the triangular-based power flow method. The mathematical model that was solved using the ISCA is designed to minimize the
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Soliman, Ayman M., Safaa M. Emara, and Amir Y. Hassan. "A Novel Technique for High-Performance Grid Integrated with Restricted Placement of PV-DG considering Load Change." Journal of Electrical and Computer Engineering 2024 (February 6, 2024): 1–11. http://dx.doi.org/10.1155/2024/5395272.

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The distributed generation (DG) units’ penetrations in power systems are becoming more prevalent. The majority of recent studies are now focusing on how to best position and size PV-DG units to further improve grid performance. In actuality, and as a result of ideal design requirements, the size and position of the PV are chosen and executed, and no luxury for a change. In this work, the PV-DG unit sizing and location were determined and placed beforehand. Also, load change is a fact and is to be highly considered in the grid. Studying the grid performance and how to enhance it under these con
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Bawayan, Haneen, and Mohamed Younis. "Microgrid Protection through Adaptive Overcurrent Relay Coordination." Electricity 2, no. 4 (2021): 524–53. http://dx.doi.org/10.3390/electricity2040031.

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The inclusion of distributed energy resources (DER) in Microgrids (MGs) comes at the expense of increased changes in current direction and magnitude. In the autonomous mode of MG operation, the penetration of synchronous distributed generators (DGs) induces lower short circuit current than when the MG operates in the grid-connected mode. Such behavior impacts the overcurrent relays and makes the protection coordination difficult. This paper introduces a novel adaptive protection system that includes two phases to handle the influence of fault current variations and enable the MG to sustain its
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Noor Zaihah Jamal, Mohd Herwan Sulaiman, Abdul Nasir, and Waheb A. Jabbar. "Optimal Overcurrent Relay Solutions for Protection Coordination Using Metaheuristics Approaches with Penalty Function Method." Journal of Advanced Research in Applied Sciences and Engineering Technology 49, no. 1 (2024): 245–71. http://dx.doi.org/10.37934/araset.49.1.245271.

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This paper presents the development of overcurrent relay coordination (OCRC) problem formulation by implementing five well known metaheuristic algorithms that are Ant Lion Optimizer (ALO), Moth Flame Optimizer (MFO), Grey Wolf Optimizer (GWO), Particles Swarm Optimizer (PSO) and Barnacles Matting Optimizer (BMO). The algorithms are assisted with penalty function method during the selection of new agents/ offsprings to confirm the generations that violated the constraints are superseded during the next generation selection. The OCRC is established by manipulating the current known as plus setti
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Ajewole, Titus, Adelowo Balogun, Muyideen Lawal, Omonowo Momoh, and Abdulsemiu Olawuyi. "A Genetic Algorithm Approach to Optimal Sizing and Placement of Distributed Generation on Nigerian Radial Feeders." Tanzania Journal of Engineering and Technology 41, no. 4 (2022): 192–204. http://dx.doi.org/10.52339/tjet.v41i4.859.

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Mitigating power loss and voltage profile problems on radial distribution networks has been a major challenge to distribution system operators. While deployment of distributed generation, as compensators, has made a suitable solution option, optimum placement and sizing of the compensators has been a concern and it has thus been receiving great attention. Meta-heuristic algorithms have been found efficacious in this respect, yet the use of the algorithms in addressing problems of radial feeders is still comparatively low in Nigeria where analytical and numerical programming methods are common.
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Hussein Farh, Hassan M., Abdullrahman A. Al-Shamma’a, Affaq Qamar, Fahman Saeed, and Abdullah M. Al-Shaalan. "Optimal Sizing and Placement of Distributed Generation under N-1 Contingency Using Hybrid Crow Search–Particle Swarm Algorithm." Sustainability 16, no. 6 (2024): 2380. http://dx.doi.org/10.3390/su16062380.

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Line outage contingencies in power distribution systems pose critical challenges, leading to disruptions, reduced reliability, and potential cascading failures. These problems include increased vulnerability, limited resilience, and the need for efficient mitigation strategies to enhance the overall system reliability and quality. This study aims to investigate, analyze, and evaluate the renewable distributed generator (RDG) allocation and sizing under N-1 line outage conditions in terms of the reliability and quality for the IEEE 30-bus benchmark power system as a case study. Under all possib
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Diab, Ahmed A. Zaki, Fayza S. Mahmoud, Hamdy M. Sultan, Abou-Hashema M. El-Sayed, Mohamed A. Ismeil, and Omar Makram Kamel. "Various optimization algorithms for efficient placement and sizing of photovoltaic distributed generations in different networks." PLOS ONE 20, no. 4 (2025): e0319422. https://doi.org/10.1371/journal.pone.0319422.

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Recent research has concentrated on emphasizing the significance of incorporating renewable distributed generations (RDGs), like photovoltaic (PV) and wind turbines (WTs), into the distribution system to address issues related to distributed generation (DG) allocation. The key implications of integrating RDGs include the improvement of voltage profiles and the minimization of power losses. Various optimization techniques, namely Salp Swarm Algorithm (SSA), Marine Predictor Algorithm (MPA), Grey Wolf Optimizer (GWO), Improved Grey Wolf Optimizer (IGWO), and Seagull Optimization Algorithm (SOA),
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Mandeep Kumar Munnu and Dr.Jayanti Choudhary. "OPTIMAL PLACEMENT AND RATING OF CUSTOM POWER DEVICES IN 15-BUS SYSTEM FOR POWER QUALITY IMPROMENT WITH STATIC SYNCHRONOUS COMPENSATORS (STATCOMs) AND ACTIVE LINE POWER CONDTIONER." international journal of engineering technology and management sciences 7, no. 5 (2023): 204–11. http://dx.doi.org/10.46647/ijetms.2023.v07i05.024.

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This paper presents on power quality improvement in distributed radial network by using custom power device (CPD). In power system, the power quality issue become more complex at all level. Here, for this concern, we introduce a concept of custom power, basically it is a power electronics controller, to provide a quality of power to the supplier as much as for consumers. Custom power device (CPD) including active power line conditioner (APLC) and static synchronous compensators (STATCOMs), simulating on modified distributed IEEE-15 bus distorted bus system with the help of MATLAB Simulink soft
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Jeon, Soi, and Dae-Hyun Choi. "Optimal Energy Management Framework for Truck-Mounted Mobile Charging Stations Considering Power Distribution System Operating Conditions." Sensors 21, no. 8 (2021): 2798. http://dx.doi.org/10.3390/s21082798.

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A high charging demand from many electric vehicles (EVs) at a fixed charging station (FCS) with a limited number of charging poles can increase the waiting time of EVs and yield an abnormal power grid condition. To resolve these challenges, this paper presents an optimization framework in which a mobile charging station (MCS) is dispatched to the overloaded FCS to reduce the number of waiting EVs while maintaining normal power grid operation. Compared to existing MCS scheduling methods that do not consider actual power distribution system operations, the proposed framework takes into account t
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Nagesh Kumar, G. V., B. Sravana Kumar, B. Venkateswara Rao, P. V. S. Sobhan, and K. Appala Naidu. "Linear programming technique based optimal relay coordination in a radial distribution system." International Journal of Engineering & Technology 7, no. 1.8 (2018): 51. http://dx.doi.org/10.14419/ijet.v7i1.8.9450.

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Now-a-days to ensure power continuity and system’s reliability the protection system is to be designed properly for distribution systems to handle the faults to avoiding the damage to the equipments and to the service engineers. Different types of relays with different working principles are used to detect different types of faults in the system. In order to avoid mal operation of relays, proper coordination is to be carried out. The objective of this paper is to maintain the relay coordination as well as to decrease the working time of relays by optimizing the values of time dial setting (TDS
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Abd al hassan, Sana K., and Firas Mohammed Tuaimah. "Study Impact of Unified Power Flow Controller (UPFC) on a Transmission Line Performance under Different Loading Conditions." Journal of Engineering 26, no. 2 (2020): 176–92. http://dx.doi.org/10.31026/j.eng.2020.02.13.

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Now-a-days the Flexible AC Transmission Systems (FACTS) technology is very effective in improving the power flow along the transmission lines and makes the power system more flexible and controllable. This paper deals with the most robust type of FACTS devices; it’s a Unified Power Flow Controller (UPFC). Many cases have been taken to study how the system behaves in the presence and absence of the UPFC under normal and contingency conditions. The UPFC is a device that can be used to improve the bus voltage, increasing the loadability of the line and reduce the active and reactive power losses
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Muhamed, Elshenawy, Ayman Ahmed, Bahgat Mohey, and Elmasry Saeed. "Grid Voltage Profile Enhancement using UPFC based on Harmony Search Algorithm." European Journal of Advances in Engineering and Technology 6, no. 10 (2019): 7–20. https://doi.org/10.5281/zenodo.10691611.

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<strong>ABSTRACT</strong> In this paper, a dynamic model of Unified Power Flow Controller (UPFC) is developed to improve the power transfer capability (PTC) through the transmission line. Improvement of the buses voltage profiles along with the reduction of total power losses is also intended with UPFC&rsquo;s presence. The UPFC shunt and series controllers are developed based on two types of controllers Fuzzy Logic Controller (FLC) and PI Controller which has been planned in Matlab Simulink software. The gains values are optimized using Harmony Search Algorithm. Sinusoidal pulse width modulat
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Jun-Feng Guo, Jun-Feng Guo, Yong-Qiang Zhang Jun-Feng Guo, Sheng-Bin Xu Yong-Qiang Zhang, Trong-The Nguyen Sheng-Bin Xu, and Jin-Yang Lin Trong-The Nguyen. "A Power System Profitable Load Dispatch Based on Golden Eagle Optimizer." 電腦學刊 33, no. 4 (2022): 145–58. http://dx.doi.org/10.53106/199115992022083304012.

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&lt;p&gt;Profitable load dispatch (PLD) is a typical multi-constrained nonlinear optimization problem considered an essential vital part of the power system to achieve energy-saving and consumption reduction. Dealing with the PLD problem using additional methods, e.g., gradient computing quadratic programming, would suffer from computational time complexity. The swarm intelligence optimization algorithm is one of the most promising effective ways of dealing with nonlinear optimization problems like the PLD issue. Gold-en Eagle optimizer (GEO) is a recent robust swarm intelligence optimization
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Gautam, Rupesh, and Hari Bahadur Darlami. "Technical Analysis of Grid Connected 1 kWP Rooftop Solar PV for Residential Consumer at Urban Areas of Lalitpur, Nepal." Journal of Science and Engineering 9 (December 31, 2021): 1–7. http://dx.doi.org/10.3126/jsce.v9i9.46289.

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Integration of rooftop solar PV by a residential consumer to the grid is beneficial to both consumer and grid if integrated optimally. The minimization of power loss by improving the voltage profile on the grid side and reducing the electricity bill by improving energy deficiency faced by the residential consumer is the benefit of the integrated PV system. The preparation of this paper is based on the study of grid impact analysis and performance analysis of solar among the urban areas of Lalitpur. First, the grid impact and optimum size calculation are performed in IEEE-33 and IEEE-15 bus tes
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Rostami, Ali Mohammad, Hossein Ameli, Mohammad Taghi Ameli, and Goran Strbac. "Secure Operation of Integrated Natural Gas and Electricity Transmission Networks." Energies 13, no. 18 (2020): 4954. http://dx.doi.org/10.3390/en13184954.

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The interaction between natural gas and electricity networks is becoming more significant due to the projected large penetration of renewables into the energy system to meet the emission targets. This is due to the role of gas-fired plants in providing backup to renewables as the linkage between these networks. Therefore, this paper proposes a deterministic coordinated model for the secure and optimal operation of integrated natural gas and electricity transmission networks by taking into account the N-1 contingency analysis on both networks. In order to reduce the computational burden and tim
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Wan Abdul Razak, Wan Muhamad Akmal, Norzanah Rosmin, Aede Hatib Musta’amal, Siti Maherah Hussin, Dalila Mat Said, and Aripriharta. "Power loss minimization by optimal allocation and sizing of STATCOM via particle swarm optimization." E3S Web of Conferences 516 (2024): 05003. http://dx.doi.org/10.1051/e3sconf/202451605003.

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The provision of electricity is problematic in remote and rural areas. The distribution system is insufficiently efficient to provide rural areas with electricity. Long distance between the power supply and rural areas is the reason why there is insufficient electricity. Static synchronous compensator (STATCOM) technology is one of the solutions that have more positive effects, such as reducing power losses, and can therefore increase the system’s efficacy. However, the non-optimal allocation and magnitude of STATCOM may increase losses and have a negative impact on power, resulting in a decre
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M, Senthil Kumar, Rajakumar P, and Andiappan V. "VOLTAGE STABILITY ASSESSMENT IN RADIAL DISTRIBUTION NETWORK USING VOLTAGE STABILITY INDICES." ICTACT Journal on Communication Technology 11, no. 4 (2020): 2263–68. https://doi.org/10.21917/ijct.2020.0335.

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Increased power demand and constrained power resources have made assessment of voltage stability in power system networks necessary in these days to predict voltage instability in order to ensure safe and secure operation of power systems. Also, due to numerous factors the existing power system networks are forced to operate at its peak limit. Therefore, it is essential to assess the maximum voltage stability prior to occurrence of voltage collapse. This will be used as preliminary information by the operator to avoid complete interruption of power system. In this paper, numerous Voltage Stabi
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Dinh Ngoc Sang, Truong Viet Anh, and Nguyen Tung Linh. "A robust hybrid algorithm AI and GA for optimizing wind power in electricity market." Journal of Military Science and Technology 99 (November 25, 2024): 24–34. http://dx.doi.org/10.54939/1859-1043.j.mst.99.2024.24-34.

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This paper proposes a robust hybrid method to optimize benefits under adverse conditions due to the uncertainty of wind power when integrated into competitive electricity markets. The hybrid algorithm synergizes an artificial intelligence technique to enhance the optimization efficiency of evolutionary algorithms. Results from the novel hybrid algorithm significantly enhance optimization speed and surpass local optima to achieve more favorable global optimum results. Experimental validation on the IEEE 30-bus power system, compared with previous studies and the original evolutionary algorithm,
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Arivazhagan, Thamaraiselvi, Subramanian Srikrishna, Naveenkumar Kaliyan, and Ganesan Sivarajan. "State estimation with trusted phasor measuring unit placements of distribution system involving renewable energy sources." International Journal of Engineering Business Management 14 (January 2022): 184797902211063. http://dx.doi.org/10.1177/18479790221106307.

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Among Renewable Energy Sources wind and solar energy are the most prominent and favorable substitutes to meet mankind’s future electricity requirements. Typically, these resources are combined in a distribution network to provide local distribution users. The amalgamation of these upgrades into the distribution network may modify the malfunction and network topologies, which may fail due to their pre-set state. Therefore, an advanced and accurate tracking device must continuously monitor topology changes, which is the Phasor Measuring Unit (PMU). This work proposes a new technique based on the
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Sheikh, Hafsa Imra, Mahesh Kumar Rathi, and Amir Mahmood Soomro. "Optimal integration of battery energy-storage system with high penetration of renewable energy in radial distribution network." Clean Energy 6, no. 3 (2022): 404–11. http://dx.doi.org/10.1093/ce/zkac027.

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Abstract Considering the intermittent nature of renewable energy, a storage system to reserve power in off-peak hours and then to supply it during peak hours is necessary. However, if these storage devices in a network are not placed in an appropriate manner, the advantages can never be achieved. In this study, the allocation and sizing strategies of a battery energy-storage system (BESS) in an optimal way are proposed to improve the performance of the radial distribution networks. The test network adopted is a standard IEEE 33 bus network that is integrated with solar power. Simulations are c
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Sankepally, Swathi, and Sravana Kumar Bali. "Optimal size and allocation of wind distributed generation in distribution network using particle swarm optimization." Indonesian Journal of Electrical Engineering and Computer Science 36, no. 2 (2024): 724. http://dx.doi.org/10.11591/ijeecs.v36.i2.pp724-732.

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The aim of this research is to evaluate the performance of the distribution network by connecting wind distributed generation (DG) and determining the optimal location and size using the particle swarm optimization (PSO) technique, once the wind DG is connected at the optimal location, the output of wind turbines is not constant but varies with changes in wind speed. Wind turbines are designed to generate the energy from the wind. As the output of the wind turbines changes, it influences the power flow and voltage levels in the distribution network. The injection of power from the wind turbine
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Swathi, Sankepally Sravana Kumar Bali. "Optimal size and allocation of wind distributed generation in distribution network using particle swarm optimization." Indonesian Journal of Electrical Engineering and Computer Science 36, no. 2 (2024): 724–32. https://doi.org/10.11591/ijeecs.v36.i2.pp724-732.

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The aim of this research is to evaluate the performance of the distribution network by connecting wind distributed generation (DG) and determining the optimal location and size using the particle swarm optimization (PSO) technique, once the wind DG is connected at the optimal location, the output of wind turbines is not constant but varies with changes in wind speed. Wind turbines are designed to generate the energy from the wind. As the output of the wind turbines changes, it influences the power flow and voltage levels in the distribution network. The injection of power from the wind turbine
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Ouali, Saad, and Abdeljebbar Cherkaoui. "Optimal Allocation of Combined Renewable Distributed Generation and Capacitor Units for Interconnection Cost Reduction." Journal of Electrical and Computer Engineering 2020 (July 23, 2020): 1–11. http://dx.doi.org/10.1155/2020/5101387.

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In this paper, a new methodology for the optimal investment in distributed generation is presented, based on an optimal allocation of combined DG and capacitor units to alleviate network voltage constraints and reduce the interconnection cost of renewable generation integration in public medium voltage distribution networks. An analytical optimization method is developed, with the inclusion of practical considerations that are typically neglected in developed works: network topology reconfiguration and the geographical data of the generation land-use and network infrastructure. Powerful result
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Khamsen, Wanchai, Chiraphon Takeang, Thawinan Janthawang, and Apinan Aurasopon. "A novel multi-objective economic load dispatch solution using bee colony optimization method." International Journal of Electrical and Computer Engineering (IJECE) 15, no. 2 (2025): 1385. https://doi.org/10.11591/ijece.v15i2.pp1385-1395.

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This article presents a novel multi-objective economic load dispatch solution with the bee colony optimization method. The purposes of this research are to find the lowest total power generation cost and the lowest total power loss at the transmission line. A swarm optimization method was used to consider the non-smooth fuel cost function characteristics of the generator. The constraints of economic load dispatch include the cost function, the limitations of generator operation, power losses, and load demand. The suggested approach evaluates an IEEE 5, 26, and 118 bus system with 3, 6, and 15
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Bhemasenarao, Arathi Pothakanahalli, and Shankaralingappa Channappa Byalihal. "Optimal coordination of directional over current relays for distribution systems using hybrid GWO-CSA." International Journal of Power Electronics and Drive Systems (IJPEDS) 15, no. 2 (2024): 1276. http://dx.doi.org/10.11591/ijpeds.v15.i2.pp1276-1289.

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Coordination of protective relays is a critical aspect of electrical distribution systems, ensuring effective and reliable protection against faults. In modern power systems, the integration of distributed generation (DG) sources adds complexity to the coordination task. The dynamic nature of DG systems requires adaptive relay settings that can swiftly detect and isolate faults while minimizing potential damage and downtime. The purpose of this research is to improve the coordination of directional over current relays in electrical distribution systems, particularly in DG systems. An optimizat
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Bheemasenarao, Arathi Pothakanahalli, and Shankaralingappa Channappa Byalihal. "Optimal coordination of directional over current relays for distribution systems using hybrid GWO-CSA." International Journal of Power Electronics and Drive Systems (IJPEDS) 15, no. 2 (2024): 1276–89. https://doi.org/10.11591/ijpeds.v15.i2.pp1276-1289.

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Coordination of protective relays is a critical aspect of electrical distribution systems, ensuring effective and reliable protection against faults. In modern power systems, the integration of distributed generation (DG) sources adds complexity to the coordination task. The dynamic nature of DG systems requires adaptive relay settings that can swiftly detect and isolate faults while minimizing potential damage and downtime. The purpose of this research is to improve the coordination of directional over current relays in electrical distribution systems, particularly in DG systems. An optimizat
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Kamel, Saleh, and Mahmoud Omar. "Asymmetrical four-wire cascaded h-bridge multi-level inverter based shunt active power filter supplied by a photovoltaic source." International Journal of Power Electronics and Drive Systems (IJPEDS) 12, no. 3 (2021): 1673–86. https://doi.org/10.11591/ijpeds.v12.i3.pp1673-1686.

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This paper presents a novel shunt active power filter (SAPF). The power converter that is used in this SAPF is constructed from a four-leg asymmetric multi-level cascaded H-bridge (CHB) inverter that is fed from a photovoltaic source. A three-dimensional space vector modulation (3D-SVPWM) technique is adopted in this work. The multi-level inverter can generate 27-level output with harmonic content is almost zero. In addition to the capability to inject reactive power and mitigating the harmonics, the proposed SAPF has also, the ability to inject real power as it is fed from a PV source. Moreov
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Lee, Dongwon, Changhee Han, and Gilsoo Jang. "Stochastic Analysis-Based Volt–Var Curve of Smart Inverters for Combined Voltage Regulation in Distribution Networks." Energies 14, no. 10 (2021): 2785. http://dx.doi.org/10.3390/en14102785.

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The proliferation of renewable energy resources (RES), especially solar photovoltaic (PV) generation resources, causes overvoltage and line overloading in distribution networks. This study proposes a two-level volt–var control method based on multiple timescales. The on-load tap changer (OLTC) operates on an hourly timescale, to regulate the voltage on the secondary winding. In the 15-minutes timescale, PV-connected smart inverters and static var compensators (SVCs) are obliged to compensate the reactive power for the voltage control at the point of common coupling. In the multi-timescale volt
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Zeng, Jiawei, Zhaoxi Liu, and Qing-Hua Wu. "Hybrid Stochastic–Information Gap Decision Theory Method for Robust Operation of Water–Energy Nexus Considering Leakage." Electronics 14, no. 13 (2025): 2644. https://doi.org/10.3390/electronics14132644.

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The water–energy nexus (WEN) is of great significance due to the strong interdependence between the energy and water sectors. Nevertheless, water leakage in water distribution networks (WDNs), which is often ignored in existing WEN operation models, causes notable water and energy losses. In this research, a cooperative operation model for WEN considering WDN water leakage is put forward. A hybrid stochastic–information gap decision theory (IGDT) method was tailored in this study to properly manage the probabilistic uncertainties associated with renewable generation, electrical and water deman
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Khamsen, Wanchai, Chiraphon Takeang, Thawinan Janthawang, and Apinan Aurasopon. "A novel multi-objective economic load dispatch solution using bee colony optimization method." International Journal of Electrical and Computer Engineering (IJECE) 15, no. 2 (2025): 1385–95. https://doi.org/10.11591/ijece.v15i2.pp1385-1395.

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This article presents a novel multi-objective economic load dispatch solution&nbsp;with the bee colony optimization method. The purposes of this research are&nbsp;to find the lowest total power generation cost and the lowest total power loss&nbsp;at the transmission line. A swarm optimization method was used to consider&nbsp;the non-smooth fuel cost function characteristics of the generator. The&nbsp;constraints of economic load dispatch include the cost function, the&nbsp;limitations of generator operation, power losses, and load demand. The&nbsp;suggested approach evaluates an IEEE 5, 26, an
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Pengtem, Chaimongkol, Saksit Deeum, Amirullah, et al. "Design of Multi-Objective Energy Management for Remote Communities Connected with an Optimal Hybrid Integrated Photovoltaic–Hydropower–Battery Energy Storage System (PV-HP-BESS) Using Improved Particle Swarm Optimization." Energies 18, no. 9 (2025): 2250. https://doi.org/10.3390/en18092250.

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The potential for electricity distribution in power systems has significantly increased over the years. This is mainly because of the discovery of alternative electricity generation sources, such as renewable energy, coupled with distributed generation (DG), making electricity more widely accessible. However, challenges remain in distributing electricity to remote area communities (RACs), especially because of difficult terrain and the complexity of installing power plants, leaving some areas without access to electricity. In this study, we used an improved particle swarm optimization (IPSO) t
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Abdallah, Rawan Y., Mostafa F. Shaaban, Ahmed H. Osman, Abdelfatah Ali, Khaled Obaideen, and Lutfi Albasha. "Synergizing Gas and Electric Systems Using Power-to-Hydrogen: Integrated Solutions for Clean and Sustainable Energy Networks." Smart Cities 8, no. 3 (2025): 81. https://doi.org/10.3390/smartcities8030081.

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The rapid growth in natural gas consumption by gas-fired generators and the emergence of power-to-hydrogen (P2H) technology have increased the interdependency of natural gas and power systems, presenting new challenges to energy system operators due to the heterogeneous uncertainties associated with power loads, renewable energy sources (RESs), and gas loads. These uncertainties can easily spread from one infrastructure to another, increasing the risk of cascading outages. Given the erratic nature of RESs, P2H technology provides a valuable solution for large-scale energy storage systems, cruc
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