Multi-objective distributed generation hierarchical optimal planning in distribution network: Improved beluga whale optimization algorithm
This study constructs a distributed generation (DG) multi-objective hierarchical optimal planning model. A solution method is proposed based on an improved beluga whale optimization algorithm (IBWO). Reasonable planning of the location and capacity of DG access to the distribution network plays an i...
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| Veröffentlicht in: | Expert systems with applications Jg. 237; S. 121406 |
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| Format: | Journal Article |
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01.03.2024
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| ISSN: | 0957-4174, 1873-6793 |
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| Abstract | This study constructs a distributed generation (DG) multi-objective hierarchical optimal planning model. A solution method is proposed based on an improved beluga whale optimization algorithm (IBWO). Reasonable planning of the location and capacity of DG access to the distribution network plays an important role in minimizing actual power losses, reducing grid operating costs, and improving voltage distribution. The output power of DG has uncertainties and the demand response on the load side can also affect the DG planning; however, previous studies have ignored these two critical factors. This study aims to determine the optimal location and capacity of DG access to distribution network considering the demand response and the uncertainty of DG output power to improve the economic benefit, power quality and energy utilization efficiency. This study proposes an IBWO algorithm with better performance, aiming at the multi-objective, multi-constrained and nonlinear DG planning problem and a DG multi-objective hierarchical optimal planning model is established. The results show that proposed method can reduce the annual comprehensive cost, total voltage deviation and power loss of system by 11.66%, 40.55% and 38.61%. |
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| AbstractList | This study constructs a distributed generation (DG) multi-objective hierarchical optimal planning model. A solution method is proposed based on an improved beluga whale optimization algorithm (IBWO). Reasonable planning of the location and capacity of DG access to the distribution network plays an important role in minimizing actual power losses, reducing grid operating costs, and improving voltage distribution. The output power of DG has uncertainties and the demand response on the load side can also affect the DG planning; however, previous studies have ignored these two critical factors. This study aims to determine the optimal location and capacity of DG access to distribution network considering the demand response and the uncertainty of DG output power to improve the economic benefit, power quality and energy utilization efficiency. This study proposes an IBWO algorithm with better performance, aiming at the multi-objective, multi-constrained and nonlinear DG planning problem and a DG multi-objective hierarchical optimal planning model is established. The results show that proposed method can reduce the annual comprehensive cost, total voltage deviation and power loss of system by 11.66%, 40.55% and 38.61%. |
| ArticleNumber | 121406 |
| Author | Fan, Xing-Da Sethanan, Kanchana Wu, Kuo-Jui Tseng, Ming-Lang Li, Ling-Ling |
| Author_xml | – sequence: 1 givenname: Ling-Ling surname: Li fullname: Li, Ling-Ling organization: State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300130, China – sequence: 2 givenname: Xing-Da surname: Fan fullname: Fan, Xing-Da organization: State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300130, China – sequence: 3 givenname: Kuo-Jui orcidid: 0000-0002-6246-8245 surname: Wu fullname: Wu, Kuo-Jui organization: Management School, Hainan University, Haikou 570228, China – sequence: 4 givenname: Kanchana orcidid: 0000-0002-3340-2538 surname: Sethanan fullname: Sethanan, Kanchana organization: Research Unit on System Modeling for Industry, Department of Industrial Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen 40002, Thailand – sequence: 5 givenname: Ming-Lang orcidid: 0000-0002-2702-3590 surname: Tseng fullname: Tseng, Ming-Lang email: tsengminglang@asia.edu.tw, tsengminglang@gmail.com organization: Institute of Innovation and Circular Economy, Asia University, Taichung, Taiwan |
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| Keywords | Multi-objective hierarchical optimal planning model Improved beluga whale optimization algorithm Distributed generation Distribution network Demand respond |
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