A bi-layer optimization method of the grid-connected microgrid based on the multi-strategy of the beluga whale algorithm
Endeavoring to enhance the penetration rate of renewable energy sources, concurrently ensuring economic and operational stability, this study proposes a novel bi-layer optimization method of the wind–solar-storage AC/DC microgrid (MG). First, by incorporating a superordinate electric and seasonal hy...
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ftdoajarticles:oai:doaj.org/article:bf98bdcf83c3442e9eae9ccf960aeeb9 2024-09-15T17:58:59+00:00 A bi-layer optimization method of the grid-connected microgrid based on the multi-strategy of the beluga whale algorithm Xianjing Zhong Xianbo Sun Yuhan Wu 2024-02-01T00:00:00Z https://doi.org/10.3389/fenrg.2024.1336205 https://doaj.org/article/bf98bdcf83c3442e9eae9ccf960aeeb9 EN eng Frontiers Media S.A. https://www.frontiersin.org/articles/10.3389/fenrg.2024.1336205/full https://doaj.org/toc/2296-598X 2296-598X doi:10.3389/fenrg.2024.1336205 https://doaj.org/article/bf98bdcf83c3442e9eae9ccf960aeeb9 Frontiers in Energy Research, Vol 12 (2024) wind–solar-storage AC/DC microgrid hybrid energy storage system optimal configuration bi-layer optimal model multi-strategy hybrid improvement of Beluga Whale Algorithm General Works A article 2024 ftdoajarticles https://doi.org/10.3389/fenrg.2024.1336205 2024-08-05T17:49:57Z Endeavoring to enhance the penetration rate of renewable energy sources, concurrently ensuring economic and operational stability, this study proposes a novel bi-layer optimization method of the wind–solar-storage AC/DC microgrid (MG). First, by incorporating a superordinate electric and seasonal hydrogen hybrid energy storage system (E&SHESS), the topology structure of the microgrid is established. Subsequently, to rectify the intrinsic limitations of the conventional beluga whale optimization (BWO) algorithm, this paper proposes a multi-strategy hybrid improvement to BWO (MHIBWO). This innovative improvement integrates an MTent strategy, a step size adjustment mechanism, and a crisscross strategy. Then, constructing a bi-layer iterative model based on the topology, annual net income and grid-connected friendliness are introduced as optimization objectives for the outer and inner layers, respectively, utilizing MHIBWO and CPLEX for resolution. Through a nested iteration of the two layers, the model outputs the capacity scheme with the best performance of economy and stability. Finally, the simulation unequivocally demonstrated the superiority of MHIBWO and the model proposed. In addition, based on the real data of the Elia power station, the validity of the method in operation is tested using the fuzzy C-means algorithm (FCMA) to extract and aggregate typical days, thereby presenting a sophisticated solution for the field of microgrids optimization configuration. Article in Journal/Newspaper Beluga Beluga whale Beluga* Directory of Open Access Journals: DOAJ Articles Frontiers in Energy Research 12 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
wind–solar-storage AC/DC microgrid hybrid energy storage system optimal configuration bi-layer optimal model multi-strategy hybrid improvement of Beluga Whale Algorithm General Works A |
spellingShingle |
wind–solar-storage AC/DC microgrid hybrid energy storage system optimal configuration bi-layer optimal model multi-strategy hybrid improvement of Beluga Whale Algorithm General Works A Xianjing Zhong Xianbo Sun Yuhan Wu A bi-layer optimization method of the grid-connected microgrid based on the multi-strategy of the beluga whale algorithm |
topic_facet |
wind–solar-storage AC/DC microgrid hybrid energy storage system optimal configuration bi-layer optimal model multi-strategy hybrid improvement of Beluga Whale Algorithm General Works A |
description |
Endeavoring to enhance the penetration rate of renewable energy sources, concurrently ensuring economic and operational stability, this study proposes a novel bi-layer optimization method of the wind–solar-storage AC/DC microgrid (MG). First, by incorporating a superordinate electric and seasonal hydrogen hybrid energy storage system (E&SHESS), the topology structure of the microgrid is established. Subsequently, to rectify the intrinsic limitations of the conventional beluga whale optimization (BWO) algorithm, this paper proposes a multi-strategy hybrid improvement to BWO (MHIBWO). This innovative improvement integrates an MTent strategy, a step size adjustment mechanism, and a crisscross strategy. Then, constructing a bi-layer iterative model based on the topology, annual net income and grid-connected friendliness are introduced as optimization objectives for the outer and inner layers, respectively, utilizing MHIBWO and CPLEX for resolution. Through a nested iteration of the two layers, the model outputs the capacity scheme with the best performance of economy and stability. Finally, the simulation unequivocally demonstrated the superiority of MHIBWO and the model proposed. In addition, based on the real data of the Elia power station, the validity of the method in operation is tested using the fuzzy C-means algorithm (FCMA) to extract and aggregate typical days, thereby presenting a sophisticated solution for the field of microgrids optimization configuration. |
format |
Article in Journal/Newspaper |
author |
Xianjing Zhong Xianbo Sun Yuhan Wu |
author_facet |
Xianjing Zhong Xianbo Sun Yuhan Wu |
author_sort |
Xianjing Zhong |
title |
A bi-layer optimization method of the grid-connected microgrid based on the multi-strategy of the beluga whale algorithm |
title_short |
A bi-layer optimization method of the grid-connected microgrid based on the multi-strategy of the beluga whale algorithm |
title_full |
A bi-layer optimization method of the grid-connected microgrid based on the multi-strategy of the beluga whale algorithm |
title_fullStr |
A bi-layer optimization method of the grid-connected microgrid based on the multi-strategy of the beluga whale algorithm |
title_full_unstemmed |
A bi-layer optimization method of the grid-connected microgrid based on the multi-strategy of the beluga whale algorithm |
title_sort |
bi-layer optimization method of the grid-connected microgrid based on the multi-strategy of the beluga whale algorithm |
publisher |
Frontiers Media S.A. |
publishDate |
2024 |
url |
https://doi.org/10.3389/fenrg.2024.1336205 https://doaj.org/article/bf98bdcf83c3442e9eae9ccf960aeeb9 |
genre |
Beluga Beluga whale Beluga* |
genre_facet |
Beluga Beluga whale Beluga* |
op_source |
Frontiers in Energy Research, Vol 12 (2024) |
op_relation |
https://www.frontiersin.org/articles/10.3389/fenrg.2024.1336205/full https://doaj.org/toc/2296-598X 2296-598X doi:10.3389/fenrg.2024.1336205 https://doaj.org/article/bf98bdcf83c3442e9eae9ccf960aeeb9 |
op_doi |
https://doi.org/10.3389/fenrg.2024.1336205 |
container_title |
Frontiers in Energy Research |
container_volume |
12 |
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1810435937414414336 |