综合智慧能源2025，Vol.47Issue(6)：74-84,11.DOI:10.3969/j.issn.2097-0706.2025.06.008
基于MOIBKA算法的电化学储能电站最优功率分配
Optimal power allocation for electrochemical energy storage power stations based on MOIBKA algorithm
摘要
Abstract
To address the power allocation issue of electrochemical energy storage stations under the influence of multiple factors,an optimal power allocation strategy for electrochemical energy storage power stations based on the multi-objective improved black-winged kite algorithm(MOIBKA)is proposed.The topology of the electrochemical energy storage power station is established,and three evaluation indicators for the operation of the power station are proposed.Based on the traditional power allocation model for energy storage stations,a multi-objective power allocation model is established,aiming to achieve the lowest total operating cost of energy storage power stations,the smallest state of health loss of energy storage units,and the best state of charge(SOC)consistency.The model is solved using the MOIBKA through multiple strategies.Comparative simulation analysis and operational evaluation indicators prove that the proposed strategy could effectively reduce the number of charging and discharging cycles and the state of health loss of energy storage units while improving SOC consistency.This achieves optimal power allocation for energy storage power stations.关键词
新型电力系统/电化学储能电站/功率分配/多目标优化/黑翅鸢算法/评价指标/荷电状态/健康状态损失Key words
new power system/electrochemical energy storage power station/power allocation/multi-objective optimization/black-winged kite algorithm/evaluation indicator/state of charge/state of health loss分类
信息技术与安全科学引用本文复制引用
王成,邵冲,何欣,董海鹰..基于MOIBKA算法的电化学储能电站最优功率分配[J].综合智慧能源,2025,47(6):74-84,11.基金项目
甘肃省科技重大专项(23ZDGA005) Gansu Province Major Science and Technology Project(23ZDGA005) （23ZDGA005）
