Multi-objective microgrid optimal dispatching based on improved bird swarm algorithm

Multi-objective optimal dispatching schemes with intelligent algorithms are recognized as effective measures to promote the economics and environmental friendliness of microgrid applications. However, the low accuracy and poor convergence of these algorithms have been challenging for system operator...

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Veröffentlicht in:Global Energy Interconnection Jg. 5; H. 2; S. 154 - 167
Hauptverfasser: Ma, Xiaoyan, Mu, Yunfei, Zhang, Yu, Zang, Chenxi, Li, Shurong, Jiang, Xinyang, Cui, Meng
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier B.V 01.04.2022
Key Laboratory of Smart Grid of Ministry of Education,Tianjin University,Tianjin 300072,P.R.China%Global Energy Interconnection Development and Cooperation Organization,Beijing 100031,P.R China%Xiamen University,Xiamen 361102,P.R.China%State Grid Xiongan New Area Electric Power Supply Company,Baoding 071700,P.R.China%State Grid Baoding Electric Power Supply Company,Baoding 071000,P.R.China
KeAi Communications Co., Ltd
Schlagworte:
Bird swarm algorithm
Levy flight strategy
Microgrid
Operation optimization
Self-adaptive
Self-adaptive
Bird swarm algorithm
Operation optimization
Microgrid
Levy flight strategy
ISSN:2096-5117
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Zusammenfassung:Multi-objective optimal dispatching schemes with intelligent algorithms are recognized as effective measures to promote the economics and environmental friendliness of microgrid applications. However, the low accuracy and poor convergence of these algorithms have been challenging for system operators. The bird swarm algorithm (BSA), a new bio- heuristic cluster intelligent algorithm, can potentially address these challenges; however, its computational iterative process may fall into a local optimum and result in premature convergence when optimizing small portions of multi-extremum functions. To analyze the impact of a multi-objective economic–environmental dispatching of a microgrid and overcome the aforementioned problems of the BSA, a self-adaptive levy flight strategy-based BSA (LF–BSA) was proposed. It can solve the dispatching problems of microgrid and enhance its dispatching convergence accuracy, stability, and speed, thereby improving its optimization performance. Six typical test functions were used to compare the LF–BSA with three commonly accepted algorithms to verify its excellence. Finally, a typical summer-time daily microgrid scenario under grid-connected operational conditions was simulated. The results proved the feasibility of the proposed LF–BSA, effectiveness of the multi- objective optimization, and necessity of using renewable energy and energy storage in microgrid dispatching optimization.
ISSN:2096-5117
DOI:10.1016/j.gloei.2022.04.013