Optimal allocation of a wind turbine and battery energy storage systems in distribution networks based on the modified BES-optimizer
Recently, incorporating renewable energy resources (RERs) like wind turbines (WTs) in a distribution network is rapidly increased to meet the load growth. However, distribution networks have been facing many challenges to withstand the intermittent output power of RERs. Battery energy storage (BES)...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-01-01
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| Series: | Frontiers in Energy Research |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2023.1100456/full |
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| author | Salah Kamel Hussein Abdel-Mawgoud Mohammed M. Alrashed Loai Nasrat Mohamed F. Elnaggar Mohamed F. Elnaggar |
| author_facet | Salah Kamel Hussein Abdel-Mawgoud Mohammed M. Alrashed Loai Nasrat Mohamed F. Elnaggar Mohamed F. Elnaggar |
| author_sort | Salah Kamel |
| collection | DOAJ |
| description | Recently, incorporating renewable energy resources (RERs) like wind turbines (WTs) in a distribution network is rapidly increased to meet the load growth. However, distribution networks have been facing many challenges to withstand the intermittent output power of RERs. Battery energy storage (BES) is used with RERs to smoothly inject the output power to the grid by RERs. Therefore, this paper proposes an effective strategy for optimal allocation of WT and BES in RDS to decrease the total system losses. In addition, a modified bald eagle search (BES-optimizer) is proposed to obtain the preferable allocations of WT and BES simultaneously in the radial distribution system (RDS) considering the probabilistic distribution of the WT and load demand. IEEE 69-bus RDS is utilized as a test system. Based on the obtained results, installing WTs with BES gives better results than installing WTs alone in the RDS. However, the proposed algorithm proved its efficiency to obtain the best global results compared with other well-known techniques. |
| first_indexed | 2024-04-10T20:01:59Z |
| format | Article |
| id | doaj.art-e4e296fae7dc4608b5f316f56732d990 |
| institution | Directory Open Access Journal |
| issn | 2296-598X |
| language | English |
| last_indexed | 2024-04-10T20:01:59Z |
| publishDate | 2023-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj.art-e4e296fae7dc4608b5f316f56732d9902023-01-27T05:56:06ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2023-01-011110.3389/fenrg.2023.11004561100456Optimal allocation of a wind turbine and battery energy storage systems in distribution networks based on the modified BES-optimizerSalah Kamel0Hussein Abdel-Mawgoud1Mohammed M. Alrashed2Loai Nasrat3Mohamed F. Elnaggar4Mohamed F. Elnaggar5Department of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan, EgyptDepartment of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan, EgyptDepartment of Electrical Engineering, College of Engineering, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi ArabiaDepartment of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan, EgyptDepartment of Electrical Engineering, College of Engineering, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi ArabiaDepartment of Electrical Power and Machines Engineering, Faculty of Engineering, Helwan University, Helwan, EgyptRecently, incorporating renewable energy resources (RERs) like wind turbines (WTs) in a distribution network is rapidly increased to meet the load growth. However, distribution networks have been facing many challenges to withstand the intermittent output power of RERs. Battery energy storage (BES) is used with RERs to smoothly inject the output power to the grid by RERs. Therefore, this paper proposes an effective strategy for optimal allocation of WT and BES in RDS to decrease the total system losses. In addition, a modified bald eagle search (BES-optimizer) is proposed to obtain the preferable allocations of WT and BES simultaneously in the radial distribution system (RDS) considering the probabilistic distribution of the WT and load demand. IEEE 69-bus RDS is utilized as a test system. Based on the obtained results, installing WTs with BES gives better results than installing WTs alone in the RDS. However, the proposed algorithm proved its efficiency to obtain the best global results compared with other well-known techniques.https://www.frontiersin.org/articles/10.3389/fenrg.2023.1100456/fulldistribution systemsrenewable energywind turbinebattery energy storageuncertaintyoptimization |
| spellingShingle | Salah Kamel Hussein Abdel-Mawgoud Mohammed M. Alrashed Loai Nasrat Mohamed F. Elnaggar Mohamed F. Elnaggar Optimal allocation of a wind turbine and battery energy storage systems in distribution networks based on the modified BES-optimizer Frontiers in Energy Research distribution systems renewable energy wind turbine battery energy storage uncertainty optimization |
| title | Optimal allocation of a wind turbine and battery energy storage systems in distribution networks based on the modified BES-optimizer |
| title_full | Optimal allocation of a wind turbine and battery energy storage systems in distribution networks based on the modified BES-optimizer |
| title_fullStr | Optimal allocation of a wind turbine and battery energy storage systems in distribution networks based on the modified BES-optimizer |
| title_full_unstemmed | Optimal allocation of a wind turbine and battery energy storage systems in distribution networks based on the modified BES-optimizer |
| title_short | Optimal allocation of a wind turbine and battery energy storage systems in distribution networks based on the modified BES-optimizer |
| title_sort | optimal allocation of a wind turbine and battery energy storage systems in distribution networks based on the modified bes optimizer |
| topic | distribution systems renewable energy wind turbine battery energy storage uncertainty optimization |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2023.1100456/full |
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