Optimal location and sizing of distributed generation to minimize losses using whale optimization algorithm
The conventional power plants often bring in power quality concerns for instance high power losses and poor voltage profile to the network which are caused by the locations of power plants that are placed a distance away from loads. With proper planning and systematic allocation, the introduction of...
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my.uniten.dspace-346802024-10-14T11:21:41Z Optimal location and sizing of distributed generation to minimize losses using whale optimization algorithm Xuan L.S. Hashim T.J.T. Kamarudin M.N. 57659828400 57217828276 57211339550 Distributed generation IEEE 33-bus radial distribution system Power loss Voltage deviation Whale optimization algorithm The conventional power plants often bring in power quality concerns for instance high power losses and poor voltage profile to the network which are caused by the locations of power plants that are placed a distance away from loads. With proper planning and systematic allocation, the introduction of distributed generation (DG) into the network will enhance the performance and condition of the power system. This paper utilizes the optimization approach named whale optimization algorithm (WOA) in the search of the most ideal location and size of DG while ensuring the reduction of power losses and the minimization of the voltage deviation. WOA implementation is done in the IEEE 33-bus radial distribution system (RDS) utilizing MATPOWER and MATLAB software for no DG, one DG and two DGs installation. The outcome obtained from using WOA was compared to other well-known optimization methods and WOA has shown its competency after comparison the optimal location of WOA with other methods showing almost the same result. The best result presented was the system with two DGs installed due to the losses of the system was recorded to be the least compared to one DG or no DG installation. � 2023 Institute of Advanced Engineering and Science. All rights reserved. Final 2024-10-14T03:21:41Z 2024-10-14T03:21:41Z 2023 Article 10.11591/ijeecs.v29.i1.pp15-23 2-s2.0-85141824147 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141824147&doi=10.11591%2fijeecs.v29.i1.pp15-23&partnerID=40&md5=9c829d4ef7f0c3afc122686c48cd38e6 https://irepository.uniten.edu.my/handle/123456789/34680 29 1 15 23 All Open Access Gold Open Access Institute of Advanced Engineering and Science Scopus |
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Distributed generation IEEE 33-bus radial distribution system Power loss Voltage deviation Whale optimization algorithm |
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Distributed generation IEEE 33-bus radial distribution system Power loss Voltage deviation Whale optimization algorithm Xuan L.S. Hashim T.J.T. Kamarudin M.N. Optimal location and sizing of distributed generation to minimize losses using whale optimization algorithm |
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The conventional power plants often bring in power quality concerns for instance high power losses and poor voltage profile to the network which are caused by the locations of power plants that are placed a distance away from loads. With proper planning and systematic allocation, the introduction of distributed generation (DG) into the network will enhance the performance and condition of the power system. This paper utilizes the optimization approach named whale optimization algorithm (WOA) in the search of the most ideal location and size of DG while ensuring the reduction of power losses and the minimization of the voltage deviation. WOA implementation is done in the IEEE 33-bus radial distribution system (RDS) utilizing MATPOWER and MATLAB software for no DG, one DG and two DGs installation. The outcome obtained from using WOA was compared to other well-known optimization methods and WOA has shown its competency after comparison |
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57659828400 |
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57659828400 Xuan L.S. Hashim T.J.T. Kamarudin M.N. |
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Xuan L.S. Hashim T.J.T. Kamarudin M.N. |
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Xuan L.S. |
title |
Optimal location and sizing of distributed generation to minimize losses using whale optimization algorithm |
title_short |
Optimal location and sizing of distributed generation to minimize losses using whale optimization algorithm |
title_full |
Optimal location and sizing of distributed generation to minimize losses using whale optimization algorithm |
title_fullStr |
Optimal location and sizing of distributed generation to minimize losses using whale optimization algorithm |
title_full_unstemmed |
Optimal location and sizing of distributed generation to minimize losses using whale optimization algorithm |
title_sort |
optimal location and sizing of distributed generation to minimize losses using whale optimization algorithm |
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Institute of Advanced Engineering and Science |
publishDate |
2024 |
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