Research on loss reduction strategy of distribution network based on distributed generation site selection and capacity
The location and capacity of a distributed power plant largely affects the power flow of the entire grid, which also affects whether the losses in the grid are within reasonable limits. The distribution problem of distributed generation is an optimization problem. In this paper, we first determine t...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-09-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484723007886 |
| _version_ | 1797688399404990464 |
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| author | Ping Li Henan Dong Guanfeng Zhang Xue Bai Xin Zhao |
| author_facet | Ping Li Henan Dong Guanfeng Zhang Xue Bai Xin Zhao |
| author_sort | Ping Li |
| collection | DOAJ |
| description | The location and capacity of a distributed power plant largely affects the power flow of the entire grid, which also affects whether the losses in the grid are within reasonable limits. The distribution problem of distributed generation is an optimization problem. In this paper, we first determine the line loss by the improved power flow algorithm, and then determine the location and capacity of distributed generation by the improved gray wolf optimization algorithm for the purpose of minimizing the loss and voltage deviation of the distribution network. The improved gray wolf optimization algorithm has the advantages of fast convergence and strong globalization. We conducted experiments using the IEEE33 bus standard radial distribution network. From the tested results, it can be concluded that the proposed method can significantly reduce the active power losses in the distribution network. |
| first_indexed | 2024-03-12T01:30:17Z |
| format | Article |
| id | doaj.art-6c175fd4cc704abb8c60c9f914f6f23e |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-03-12T01:30:17Z |
| publishDate | 2023-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-6c175fd4cc704abb8c60c9f914f6f23e2023-09-12T04:16:07ZengElsevierEnergy Reports2352-48472023-09-01910011012Research on loss reduction strategy of distribution network based on distributed generation site selection and capacityPing Li0Henan Dong1Guanfeng Zhang2Xue Bai3Xin Zhao4Electric Power Research Institute, State Grid Liaoning Electric Power Co., Ltd., Shenyang 110006, Liaoning, ChinaElectric Power Research Institute, State Grid Liaoning Electric Power Co., Ltd., Shenyang 110006, Liaoning, ChinaElectric Power Research Institute, State Grid Liaoning Electric Power Co., Ltd., Shenyang 110006, Liaoning, ChinaElectric Power Research Institute, State Grid Liaoning Electric Power Co., Ltd., Shenyang 110006, Liaoning, ChinaNortheastern University, Shenyang 110819, Liaoning, China; Corresponding author.The location and capacity of a distributed power plant largely affects the power flow of the entire grid, which also affects whether the losses in the grid are within reasonable limits. The distribution problem of distributed generation is an optimization problem. In this paper, we first determine the line loss by the improved power flow algorithm, and then determine the location and capacity of distributed generation by the improved gray wolf optimization algorithm for the purpose of minimizing the loss and voltage deviation of the distribution network. The improved gray wolf optimization algorithm has the advantages of fast convergence and strong globalization. We conducted experiments using the IEEE33 bus standard radial distribution network. From the tested results, it can be concluded that the proposed method can significantly reduce the active power losses in the distribution network.http://www.sciencedirect.com/science/article/pii/S2352484723007886Distributed power generationLoss reductionMulti-objective optimizationDC power flow |
| spellingShingle | Ping Li Henan Dong Guanfeng Zhang Xue Bai Xin Zhao Research on loss reduction strategy of distribution network based on distributed generation site selection and capacity Energy Reports Distributed power generation Loss reduction Multi-objective optimization DC power flow |
| title | Research on loss reduction strategy of distribution network based on distributed generation site selection and capacity |
| title_full | Research on loss reduction strategy of distribution network based on distributed generation site selection and capacity |
| title_fullStr | Research on loss reduction strategy of distribution network based on distributed generation site selection and capacity |
| title_full_unstemmed | Research on loss reduction strategy of distribution network based on distributed generation site selection and capacity |
| title_short | Research on loss reduction strategy of distribution network based on distributed generation site selection and capacity |
| title_sort | research on loss reduction strategy of distribution network based on distributed generation site selection and capacity |
| topic | Distributed power generation Loss reduction Multi-objective optimization DC power flow |
| url | http://www.sciencedirect.com/science/article/pii/S2352484723007886 |
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