基于混沌粒子群算法的光伏并网系统自动控制方法  

Automatic control method for photovoltaic grid connected system based on chaotic particle swarm optimization algorithm

作　　者：艾久超 AI Jiuchao(China Petroleum Group Electric Energy Co.,Ltd.Power Supply Company,Daqing 163453,China)

机构地区：[1]中国石油集团电能有限公司供电公司,黑龙江大庆163453

出　　处：《黑龙江电力》2025年第1期30-33,共4页Heilongjiang Electric Power

摘　　要：针对传统的光伏并网自动控制方法存在的自动控制难度大、输出电流与电压不稳定等问题,提出一种基于混沌粒子群算法的光伏并网系统自动控制方法。通过采用混沌粒子群算法提取最优控制参数,建立负荷误差控制模型,并计算出电网最大电功率;通过控制最大输出功率点的平衡,实现对光伏发电系统的自动控制。仿真测试结果表明,与传统的光伏并网自动控制方法相比,该方法能够有效控制光伏并网系统输出电流与电压的运行,对光伏并网系统进行智能自动化控制,提高系统的稳定性和性能。Aiming at the problems of difficult automatic control and unstable output current and voltage in traditional photovoltaic grid connected automatic control methods,a photovoltaic grid connected system automatic control method based on chaotic particle swarm optimization algorithm is proposed.This method extracts the optimal control parameters using chaotic particle swarm optimization algorithm,establishes a load error control model,and calculates the maximum electrical power of the power grid.By controlling the balance of the maximum output power point,automatic control of the photovoltaic power generation system is achieved.The simulation test results show that compared with traditional photovoltaic grid connected automatic control methods,this method can effectively control the operation of the output current and voltage of the photovoltaic grid connected system,perform intelligent automation control on the photovoltaic grid connected system,and improve the stability and performance of the system.

关 键 词：混沌粒子群算法 光伏并网系统 自动控制 

分 类 号：TM615[电气工程—电力系统及自动化]