Grouping Control Strategy for Battery Energy Storage Power Stations Considering the Wind and Solar Power Generation Trend

Wei Guo, Wenyi Fan, Yang Zhao, Jiakun An, Chunguang He, Xiaomei Guo (), Yanan Qian, Libo Ma and Hongshan Zhao
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Wei Guo: State Grid Hebei Economic Research Institute, Shijiazhuang 050023, China
Wenyi Fan: State Grid Hebei Economic Research Institute, Shijiazhuang 050023, China
Yang Zhao: State Grid Hebei Economic Research Institute, Shijiazhuang 050023, China
Jiakun An: State Grid Hebei Economic Research Institute, Shijiazhuang 050023, China
Chunguang He: State Grid Hebei Economic Research Institute, Shijiazhuang 050023, China
Xiaomei Guo: School of Electrical Engineering, North China Electric Power University, Baoding 071000, China
Yanan Qian: School of Electrical Engineering, North China Electric Power University, Baoding 071000, China
Libo Ma: School of Electrical Engineering, North China Electric Power University, Baoding 071000, China
Hongshan Zhao: School of Electrical Engineering, North China Electric Power University, Baoding 071000, China

Energies, 2023, vol. 16, issue 4, 1-15

Abstract: For the optimal power distribution problem of battery energy storage power stations containing multiple energy storage units, a grouping control strategy considering the wind and solar power generation trend is proposed. Firstly, a state of charge (SOC) consistency algorithm based on multi-agent is proposed. The adaptive power distribution among the units started can be realized using this algorithm. Then, considering the trend of wind and solar power generation, a reasonable grouping control strategy is formulated. The grouping situation of the units is determined by using the probability distribution characteristics of energy storage charging and discharging, which reduces the number of charging and discharging conversions and extends the power station life. Finally, the actual data of a wind–solar energy storage microgrid is used to verify the method. The simulation results demonstrate that the proposed method has certain advantages in terms of control effect, SOC consistency, and extending the power station life.

Keywords: energy storage unit; power distribution; multi-agent; grouping battery units; wind and solar power generation trend (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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