基于改进天牛须搜索算法的电池储能系统参与AGC优化控制策略  

Optimal Control Strategy of Battery Energy Storage System Participating in AGC Based on Improved Beetle Antennae Search Algorithm

作　　者：金立鑫 朱武 花赟昊 郭启明 靳一奇 王世萱 张钰雯 JIN Li-xin;ZHU Wu;HUA Yun-hao;GUO Qi-ming;JIN Yi-qi;WANG Shi-xuan;ZHANG Yu-wen(College of Electronics and Information Engineering,Shanghai University of Electric Power,Shanghai 200090,China)

机构地区：[1]上海电力大学电子与信息工程学院,上海200090

出　　处：《水电能源科学》2021年第7期206-210,共5页Water Resources and Power

基　　金：国网上海电力公司科技项目(H2020-073);国网上海市电力公司群众性创新科技项目(H2019-130)。

摘　　要：在电池储能系统辅助传统发电机组参与电网自动发电控制时,针对按固定比例分配各机组出力信号难以充分发挥储能调频效果的问题,提出一种基于改进天牛须搜索算法的优化控制策略。该策略通过改进天牛须搜索算法优化后的负荷频率控制器将区域控制误差信号转化为区域控制需求信号,根据需求信号的大小确定系统当前所处的运行状态,再利用改进天牛须搜索算法实时调整储能与传统发电机组的出力分配。仿真结果表明,该控制策略能有效减小系统频率偏差,平抑联络线交换功率波动,促进系统频率稳定。When the battery energy storage system assists the traditional generator set to participate in the automatic generation control of the power grid,to solve the problem that it is difficult to fully utilize the energy storage frequency modulation effect by distributing the output signal of each unit according to a fixed proportion,an optimized control strategy is proposed based on the improved beetle antennae search algorithm.This strategy transforms the area control error signal into the area regulation requirement signal through the load frequency controller optimized by the improved beetle antennae search algorithm.The current operating state of the system is determined according to the size of the demand signal.And then an improved beetle antennae search algorithm is used to adjust the output distribution of energy storage and traditional generator sets in real time.The simulation results show that the control strategy can effectively reduce the system frequency deviation,smooth the fluctuation of the tie line exchange power,and promote the system frequency stability.

关 键 词：自动发电控制 区域控制误差 区域控制需求 电池储能系统 改进天牛须搜索算法 

分 类 号：TM911[电气工程—电力电子与电力传动]