太原理工大学学报2025，Vol.56Issue(3)：390-398,9.DOI:10.16355/j.tyut.1007-9432.20230306
面向一次调频的储能电池多目标协同控制策略
Multi-objective Cooperative Control Strategy of Energy Storage Battery for Primary Frequency Regulation
摘要
Abstract
[Purposes]The integration of large-scale renewable energy into the power grid leads to the reduction of equivalent moment of inertia in the frequency control process and the shortage of standby capacity of traditional thermal power units for frequency modulation.The battery energy stor-age system(BESS)plays a good auxiliary role in solving these problems with its fast response and flex-ible regulation.However,the individual characteristics of BESS make it necessary to have a more re-fined control strategy when participating in power grid frequency regulation.[Methods]In this paper,the batteries were grouped according to the state of charge(SOC)to form energy storage units,and a system model of multiple energy storage units cooperating in primary frequency control was con-structed;Then,the reasonable charging and discharging range of battery was determined by analyzing the relationship between the battery open-circuit voltage and the SOC in different environments,and the coordination strategy of each cell was designed according to the difference of SOC between battery cells,so as to realize the frequency regulation requirements while taking into account the battery opera-tion safety;On this basis,the optimization problem was designed and solved to optimize the frequency regulation effect and the energy loss of the battery.[Results]The simulation results based on Matlab/Simulink show that the proposed control strategy can fully tap the potential of energy storage battery auxiliary frequency regulation and achieve a better balance between frequency regulation effect,en-ergy storage loss,and depth of charge and discharge.关键词
一次调频/电池储能/荷电状态/能量损耗/多目标优化Key words
primary frequency regulation/battery energy storage/state of charge/energy loss/multi-objective optimization分类
信息技术与安全科学引用本文复制引用
赵熙临,陈潇..面向一次调频的储能电池多目标协同控制策略[J].太原理工大学学报,2025,56(3):390-398,9.基金项目
湖北省重点研发计划项目(2021BAA193) （2021BAA193）
