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作 者:穆迪 赵子先 Mu Di;Zhao Zixian(Changzhou Power Supply Branch,State Grid Jiangsu Electric Power Co.,Ltd.,Changzhou Jiangsu 213000,China;South China University of Technology,Guangzhou Guangdong 510641,China)
机构地区:[1]国网江苏省电力公司常州供电分公司,江苏常州213000 [2]华南理工大学,广东广州510641
出 处:《电气自动化》2025年第1期75-78,共4页Electrical Automation
基 金:国家科技部智能电网技术与装备重点专项(2016YFB0901100)。
摘 要:针对基于电压源换流器(voltage source converter,VSC)并联的直流系统中由于换流站在传统比例积分控制下出现的参数摄动和稳定性不足等问题,设计了一种融合自抗扰控制和遗传算法的自适应寻优自抗扰控制策略。建立换流站逆变侧的数学模型,并以系统无功为控制变量,设计估计观测器和误差反馈律对扰动分别进行估计和补偿,提升系统对干扰的适应能力。引入遗传算法,解决控制量受限问题,同时引入自适应交叉变异技术,提高遗传算法对自抗扰参数的优化速度。最后,在MATLAB/Simulink仿真试验平台中搭建基于VSC并联的直流系统,并对环流站逆变侧分别施加自适应寻优自抗扰、传统自抗扰以及比例积分控制,验证了所提控制策略的正确性和优异性。A self-adaptive optimization plus active disturbance control strategy combining with active disturbance rejection control and genetic algorithm was designed to address the problems of parameter perturbation and insufficient stability of converter stations in voltage source converter(VSC)parallel direct current systems under traditional proportional integral control.A mathematical model for the inverter side of the converter station was established,and the system reactive power was used as the control variable to estimate and compensate for the effects of the estimated observer and error feedback law on disturbances,respectively,in order to improve the system’s adaptability to disturbances.Introducing genetic algorithm to solve the problem of limited control quantity,while introducing self-adaptive cross mutation technology to improve the optimization speed of genetic algorithm for active disturbance rejection parameters.Finally,a hybrid direct current system based on VSC parallel connection was built on the MATLAB/Simulink simulation test platform,and self-adaptive optimization active disturbance rejection,traditional active disturbance rejection,and proportional integral control were applied to the inverter side of the circulating current station to verify the correctness and superiority of the proposed control strategy.
分 类 号:TM721[电气工程—电力系统及自动化]
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