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储能电池自适应控制下参与火力发电机组一次调频的综合控制方法

A Comprehensive Control Method for Energy Storage Battery Under Adaptive Control Participating in Primary Frequency Modulation of Thermal Power Generating Unit
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摘要 针对储能电池参与火力发电机组一次调频时控制能力不足的缺陷,提出了一种基于一次调频特性和储能电池荷电状态(SOC)优化储能电池出力的自适应综合控制方法.通过对电网调频特性的分析,改进虚拟惯性控制得到虚拟负惯性控制.在频率调节初期,储能电池出力以下垂控制为主、惯性控制为辅;在频率恢复期,以惯性控制为主、下垂控制为辅.为了优化储能电池功率输出,基于logistic函数设置自适应出力系数调整策略,维持良好SOC.以典型单区域电网为例,搭建MATLAB/Simulink仿真模型,对所提出的自适应综合控制方法进行仿真验证,证明该控制策略能够快速有效地减小频率偏差,使电力系统快速恢复到一次调频频率稳态值. For the defect of insufficient control ability of energy storage battery when participating in primary frequency modulation of thermal power generating unit,an adaptive comprehensive control method was proposed to optimize energy storage battery output based on primary frequency modulation characteristics and the state of charge(SOC)of energy storage battery.By analyzing the frequency modulation characteristics of the power grid,the virtual inertia control was improved to get the virtual negative inertia control.In the early stage of frequency modulation,the energy storage battery output was mainly based on droop control and supplemented by inertial control.In the frequency recovery period,it was mainly based on the inertial control and supplemented by droop control.In order to optimize the power output of energy storage battery,an adjustment strategy of adaptive output coefficient was set based on logistic function to maintain a good state of SOC.Taking a typical single region power grid as an example,a MATLAB/Simulink simulation model was built to verify the proposed adaptive comprehensive control method,Results show that,the control strategy can reduce the frequency deviation quickly and effectively,and make the power system quickly recover to steady state value of primary frequency modulation frequency.
作者 罗哓军 李瑞平 王驰 陆王琳 鲍佳麒 赵慧荣 Luo Xiaojun;Li Ruiping;Wang Chi;Lu Wanglin;Bao Jiaqi;Zhao Huirong(Shanghai Power Equipment Research Institute Co.,Ltd.,Shanghai 200240,China;Chongqing Hechuan Power Generation Co.,Ltd.,Chongqing 401520,China;School of Automation Engineering,Shanghai University of Electric Power,Shanghai 200090,China)
出处 《发电设备》 2024年第4期243-249,268,共8页 Power Equipment
基金 2020年度国家电力投资集团第一批统筹研发项目(TC2020ZH01)。
关键词 储能电池 一次调频 自适应控制 虚拟负惯性控制 荷电状态 energy storage battery primary frequency modulation adaptive control virtual negative inertia control state of charge
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