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基于浣熊优化算法的电力系统负荷频率控制

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电力系统的频率稳定一直是电力系统稳定性研究的一个重要方面,负荷频率控制是维持电力系统频率稳定的有效手段.选取PID控制器做为电力系统的负荷频率控制器,同时采用浣熊优化算法(COA)在4种误差积分准则下分别对控制器的参数进行优化.将采用浣熊优化算法优化的PID控制器(COA-PID)与传统PID控制器对电力系统负荷频率的控制效果对比,结果表明,采用COA-PID控制器可以更有效地实现对电力系统的负荷频率控制,它可以有效地降低系统的最大频率偏差以及维持系统的频率稳定.
Load Frequency Control of Power System Based on Coati Optimization Algo-rithm
The frequency stability of the power system has always been an important aspect of power system stability research,and load frequency control is an effective means to maintain frequency stability of the power system.PID controller is selected as the load frequency controller of power system,and coati optimization algorithm(COA)is used to optimize the parameters of the controller under four error integral criteria.A comparison will be made between the optimized PID controller(COA-PID)using coati optimization algorithm and the traditional PID controller in controlling the load frequency of the power system.The results show that using COA-PID controller can more effectively achieve load frequency control of the power system,which can effectively reduce the maximum frequency deviation of the system and maintain frequency stability.

power systemload frequency control(LFC)coati optimization algorithm(COA)PID controller

王勇、高红亮、鲍新宇、周瑞

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湖北师范大学 电气工程与自动化学院,黄石 435002

电力系统 负荷频率控制 浣熊优化算法 PID控制器

国家自然科学基金项目湖北省自然科学基金项目

622711952021CFB578

2024

自动化与仪表
天津市工业自动化仪表研究所 天津市自动化学会

自动化与仪表

CSTPCD
影响因子:0.548
ISSN:1001-9944
年,卷(期):2024.39(9)