Using multi-objective sparrow search algorithm to establish active distribution network dynamic reconfiguration integrated optimization

•An ADN dynamic reconfiguration integrated optimization model is formulated.•A multi-objective sparrow search algorithm is proposed to optimize the model.•The proposed approach can solve the ADN optimization problem efficiently.•The ADN power quality, economic and energy benefits are greatly improve...

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Vydáno v:Expert systems with applications Ročník 193; s. 116445
Hlavní autoři: Li, Ling-Ling, Xiong, Jun-Lin, Tseng, Ming-Lang, Yan, Zhou, Lim, Ming K.
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Elsevier Ltd 01.05.2022
Elsevier BV
Témata:
Active distribution network
Algorithms
Distributed generation
Dynamic reconfiguration
Electric power loss
Energy dissipation
Integrated optimization
Multi-objective sparrow search algorithm
Optimization
Optimization models
Reconfiguration
Renewable energy
Search algorithms
Sustainable development
Integrated optimization
Active distribution network
Renewable energy
Multi-objective sparrow search algorithm
Dynamic reconfiguration
ISSN:0957-4174, 1873-6793
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Shrnutí:•An ADN dynamic reconfiguration integrated optimization model is formulated.•A multi-objective sparrow search algorithm is proposed to optimize the model.•The proposed approach can solve the ADN optimization problem efficiently.•The ADN power quality, economic and energy benefits are greatly improved. This study contributes to establish the dynamic reconfiguration integrated optimization model of active distribution network (ADN) and proposes a novel solving approach based on multi-objective sparrow search algorithm. Distributed generation and time-varying load have an important impact on promoting sustainable development and reducing energy loss. Therefore, this study aims to investigate the ADN integrated optimization problem in consideration of distributed generation and time-varying load to improve the ADN power quality, economic and energy benefits. First, a multi-objective sparrow search algorithm is proposed aiming at the multi-objective, multi-constraint, non-linear and high-dimensional ADN integrated optimization problem, and the superiority of the proposed algorithm is verified. Second, the mathematical model of ADN integrated optimization is constructed. Finally, multi-scenario test is conducted in the classic test system to verify the effectiveness of proposed method, and the compromise solution is determined through the technique for order of preference by similarity to ideal solution (TOPSIS). The result shows that the proposed method effectively reduces the power loss and node voltage deviation by 75.76% and 70.06%. Accordingly, this study is significance for improving the operational stability of ADN, increasing the penetration rate of renewable energy and promoting economic production.
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ISSN:0957-4174
1873-6793
DOI:10.1016/j.eswa.2021.116445