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

Author

Listed:
  • 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
    SuZhou Institute, North China Electric Power University, Suzhou 215000, China)

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.

Suggested Citation

  • Jian-Li Zhao & Si-Ming Zeng & Wen-Tao Xu & Xiao-Dong Du & Yu-Ling He, 2022. "Optimized Self-Adaptive Power Distribution for Microgrids in a Typical Tourism Water Village of Northern China under COVID-19 Background," Sustainability, MDPI, vol. 14(16), pages 1-20, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:16:p:9839-:d:883953
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    Cited by:

    1. Haipeng Wang & Xuewei Wu & Kai Sun & Xiaodong Du & Yuling He & Kaiwen Li, 2023. "Economic Dispatch Optimization of a Microgrid with Wind–Photovoltaic-Load-Storage in Multiple Scenarios," Energies, MDPI, vol. 16(9), pages 1-16, May.

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