Multi-objective particle swarm optimization algorithm-based method for optimal placement and sizing of distributed generations and shunt capacitors in a radial distribution network
One of the most effective methods for responding to load growth and ensuring a specific level of reliability in power distribution networks is the use of renewable energy resoureces. Various technologies, such as photovoltaic cells, wind turbines, combustion engines, and fuel cells, can be utilized...
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Elsevier
2025-09-01
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| Series: | Results in Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025025836 |
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| author | Pinank Patel Nagaraj Patil Ahmed Mohsen Aditya Kashyap Nofal Adrees Hasan Karthikeyan A Dhirendra Nath Thatoi Deepak Gupta Alireza kamranfar |
| author_facet | Pinank Patel Nagaraj Patil Ahmed Mohsen Aditya Kashyap Nofal Adrees Hasan Karthikeyan A Dhirendra Nath Thatoi Deepak Gupta Alireza kamranfar |
| author_sort | Pinank Patel |
| collection | DOAJ |
| description | One of the most effective methods for responding to load growth and ensuring a specific level of reliability in power distribution networks is the use of renewable energy resoureces. Various technologies, such as photovoltaic cells, wind turbines, combustion engines, and fuel cells, can be utilized as DG sources, depending on geographic suitability. These distributed generations (DGs) sources are directly connected to the distribution network, with capacities ranging from a few kilowatts to 10 megawatts. This paper presents a method for the optimal placement and sizing of DG and shunt capacitors in radial distribution systems, considering both simultaneous and independent placements as a multi-objective problem. The objective function, which includes power losses, voltage profile enhancement, and related costs, is optimized through the Multi-Objective Particle Swarm Optimization (MOPSO) method. Simulations are performed in MATLAB/Simulink software, and finally, the results are evaluated on the standard IEEE 69-bus network, demonstrating the impact of DG and capacitors on network performance. Simulation results shows that the proposed method achieved a 94.8 % reduction in power losses and improved the voltage stability index to 0.9745 pu in the IEEE 33-bus test system. |
| format | Article |
| id | doaj-art-e70d734368204c5a9d53da7b68dc65df |
| institution | Kabale University |
| issn | 2590-1230 |
| language | English |
| publishDate | 2025-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Results in Engineering |
| spelling | doaj-art-e70d734368204c5a9d53da7b68dc65df2025-08-20T03:39:10ZengElsevierResults in Engineering2590-12302025-09-012710651410.1016/j.rineng.2025.106514Multi-objective particle swarm optimization algorithm-based method for optimal placement and sizing of distributed generations and shunt capacitors in a radial distribution networkPinank Patel0Nagaraj Patil1Ahmed Mohsen2Aditya Kashyap3Nofal Adrees Hasan4Karthikeyan A5Dhirendra Nath Thatoi6Deepak Gupta7Alireza kamranfar8Marwadi University Research Center, Department of Mechanical Engineering, Faculty of Engineering & Technology Marwadi University, Rajkot 360003, Gujarat, IndiaAssociate Professor, Department of Mechanical Engineering, School of Engineering and Technology, JAIN (Deemed to be University), Bangalore, Karnataka, IndiaRefrigeration &Air-condition Department, Technical Engineering College, The Islamic University, Najaf, Iraq; &Air-condition Department, College of Technical Engineering, the Islamic University of Al Diwaniyah, Al Diwaniyah, IraqCentre for Research Impact & Outcome, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura 140401, Punjab, IndiaDepartment of Petroleum Engineering, College of Engineering, Alnoor University, Mosul, IraqPROFESSOR, Department of Mechanical Engineering, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, IndiaDepartment of Mechanical Engineering, Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, Odisha 751030, IndiaDepartment of Mechanical Engineering, Graphic Era Hill University, Dehradun 248002, Uttarakhand, India; Department of Mechanical Engineering, Graphic Era Deemed to be University, Dehradun, Uttarakhand, 248002, IndiaDepartment of Electrical Engineering, Islamic Azad University of Ramsar, Mazandaran, Iran; Corresponding author.One of the most effective methods for responding to load growth and ensuring a specific level of reliability in power distribution networks is the use of renewable energy resoureces. Various technologies, such as photovoltaic cells, wind turbines, combustion engines, and fuel cells, can be utilized as DG sources, depending on geographic suitability. These distributed generations (DGs) sources are directly connected to the distribution network, with capacities ranging from a few kilowatts to 10 megawatts. This paper presents a method for the optimal placement and sizing of DG and shunt capacitors in radial distribution systems, considering both simultaneous and independent placements as a multi-objective problem. The objective function, which includes power losses, voltage profile enhancement, and related costs, is optimized through the Multi-Objective Particle Swarm Optimization (MOPSO) method. Simulations are performed in MATLAB/Simulink software, and finally, the results are evaluated on the standard IEEE 69-bus network, demonstrating the impact of DG and capacitors on network performance. Simulation results shows that the proposed method achieved a 94.8 % reduction in power losses and improved the voltage stability index to 0.9745 pu in the IEEE 33-bus test system.http://www.sciencedirect.com/science/article/pii/S2590123025025836Distributed generationShunt capacitorPSO algorithmRadial distribution network |
| spellingShingle | Pinank Patel Nagaraj Patil Ahmed Mohsen Aditya Kashyap Nofal Adrees Hasan Karthikeyan A Dhirendra Nath Thatoi Deepak Gupta Alireza kamranfar Multi-objective particle swarm optimization algorithm-based method for optimal placement and sizing of distributed generations and shunt capacitors in a radial distribution network Results in Engineering Distributed generation Shunt capacitor PSO algorithm Radial distribution network |
| title | Multi-objective particle swarm optimization algorithm-based method for optimal placement and sizing of distributed generations and shunt capacitors in a radial distribution network |
| title_full | Multi-objective particle swarm optimization algorithm-based method for optimal placement and sizing of distributed generations and shunt capacitors in a radial distribution network |
| title_fullStr | Multi-objective particle swarm optimization algorithm-based method for optimal placement and sizing of distributed generations and shunt capacitors in a radial distribution network |
| title_full_unstemmed | Multi-objective particle swarm optimization algorithm-based method for optimal placement and sizing of distributed generations and shunt capacitors in a radial distribution network |
| title_short | Multi-objective particle swarm optimization algorithm-based method for optimal placement and sizing of distributed generations and shunt capacitors in a radial distribution network |
| title_sort | multi objective particle swarm optimization algorithm based method for optimal placement and sizing of distributed generations and shunt capacitors in a radial distribution network |
| topic | Distributed generation Shunt capacitor PSO algorithm Radial distribution network |
| url | http://www.sciencedirect.com/science/article/pii/S2590123025025836 |
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