关键词: 电化学储能电站, 功率分配, 多目标优化, 黑翅鸢, MOIBKA, 评价指标

Abstract: A power allocation strategy for electrochemical energy storage power stations based on the Multi-objective Improvement of Black winged Kite Algorithm (MOIBKA) is proposed to address the power allocation problem under the influence of multiple factors. Firstly, the topology structure of the electrochemical energy storage power station was established, and three evaluation indicators for the operation of the power station were proposed. A multi-objective power allocation model was established based on the traditional power allocation model of energy storage power stations, which includes the lowest total operating cost of energy storage power stations, the smallest State of Health (SOH) loss of energy storage units, and the best State of Charge (SOC) consistency. The model was solved using the improved MOIBKA optimization algorithm with multiple strategies. Finally, through comparative simulation analysis and operational evaluation indicators, it was proven that the proposed strategy can effectively reduce the number of charging and discharging cycles of energy storage units, reduce the loss of health status of energy storage units, and improve the consistency of SOC of energy storage units, achieving the optimal power allocation of energy storage power stations.

Key words: Electrochemical energy storage power station, Power allocation, Multi-objective optimization, Black winged Kite, MOIBKA, Evaluating indicator