可再生能源2024，Vol.42Issue(9)：1262-1270,9.
基于POA-GWO-CSO算法的新能源电力系统精准切负荷控制多目标优化方法
A multi-objective optimization method for precise load shedding control of power system based on POA-GWO-CSO algorithm
摘要
Abstract
In order to solve a series of security problems such as system frequency and voltage offset caused by power shortage in power system,this paper proposes a multi-objective optimization method for precise load shedding control based on POA-GWO-CSO algorithm.Firstly,a multi-objective optimization model of precise load shedding control based on load classification is proposed from the aspects of safety and economy of power system,considering the constraints of stable operation of power system and output characteristics of distributed generation.In order to enhance the coordination relationship between global and local search in the traditional pelican optimization algorithm(POA),and to overcome the problems of premature convergence,insufficient optimization range and low accuracy of the optimization algorithm in dealing with complex problems.In this paper,the nonlinear inertia weight factor,the wolf group leader strategy in the grey wolf optimization algorithm(GWO)and the crisscross optimization(CSO)are introduced to update the position of the new individual of the pelican.Finally,based on the empirical analysis of the modified IEEE33 node,the improved POA-GWO-CSO algorithm proposed in this paper is used to solve the emergency load shedding model,and the system coordinated control of economy and stability is realized.关键词
新能源电力系统/精准切负荷/鹈鹕优化算法/灰狼优化算法/纵横交叉法Key words
new energy power system/precise load shedding/pelican optimization algorithm/grey wolf optimization/crisscross optimization algorithm分类
能源科技引用本文复制引用
张建新,邱建,赵青春,姜拓,李建设,夏尚学,靳文星..基于POA-GWO-CSO算法的新能源电力系统精准切负荷控制多目标优化方法[J].可再生能源,2024,42(9):1262-1270,9.基金项目
中国南方电网有限责任公司科技项目(000005KK52220027). （000005KK52220027）
