Optimized Self-Adaptive Power Distribution for Microgrids in a Typical Tourism Water Village of Northern China under COVID-19 Background

Jian-Li Zhao, Si-Ming Zeng, Wen-Tao Xu, Xiao-Dong Du () and Yu-Ling He ()
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Jian-Li Zhao: State Grid Hebei Electric Power Research Institute, Shijiazhuang 050021, China
Si-Ming Zeng: State Grid Hebei Electric Power Research Institute, Shijiazhuang 050021, China
Wen-Tao Xu: State Grid Hebei Electric Power Co., Ltd., Shijiazhuang 050022, China
Xiao-Dong Du: State Grid Hebei Electric Power Research Institute, Shijiazhuang 050021, China
Yu-Ling He: Hebei Key Laboratory of Electric Machinery Maintenance and Failure Prevention, Baoding 071003, China

Sustainability, 2022, vol. 14, issue 16, 1-20

Abstract: This work presents an improved self-adaptive power distribution approach for the microgrid in five modes under different pandemic conditions in a typical tourism water village in Northern China. Differently from the other studies, this work concentrates on satisfying the specific power supply requirements under the COVID-19 background, with the maximum value of the composite index as the object function. Composite index includes not only the economic factors, but also some compulsive factors to ensure the requested power supply of the residents/tourists. The improved particle swarm optimization method which employs the modified weighted factor and the elite strategy is utilized to optimize the power dispatching of the microgrid. Moreover, the impact of the pandemic has been fully considered by comparing the power dispatching before and after the pandemic. The case study in Baiyangdian Region confirms the effectiveness of the proposed method. With this method, the optimal power dispatching is determined under different modes.

Keywords: microgrid; self-adaptive power dispatching; improved PSO; optimization (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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