基于GA-PSO算法的三相不平衡相序调整策略研究  

Study on adjusting strategy of three-phase unbalanced phase sequence based on GA-PSO algorithm

作　　者：何鹏辉 曾进辉[1] 廖静雯 谭友奇 刘颉 He Penghui;Zeng Jinhui;Liao Jingwen;Tan Youqi;Liu Jie(School of Electrical and Information Engineering,Hunan University of Technology,Zhuzhou 412007,Hunan,China;State Grid Changde Power Supply Company,Changde 415000,Hunan,China;State Grid Yongzhou Power Supply Company,Yongzhou 425000,Hunan,China)

机构地区：[1]湖南工业大学电气与信息工程学院,湖南株洲412007 [2]国网湖南省电力有限公司常德供电分公司,湖南常德415000 [3]国网湖南省电力有限公司永州供电分公司,湖南永州425000

出　　处：《船电技术》2025年第2期74-80,共7页Marine Electric & Electronic Engineering

基　　金：国家自然科学基金面上项目“多微电网互联电能变换器及其控制方法研究”(52377185)。

摘　　要：针对低压配电网中单相负荷复杂接入导致的三相不平衡以及人工经验换相效率低的问题,本文提出一种基于GA-PSO算法的三相不平衡相序调整策略。首先,该策略以最小化三相电流不平衡度为目标函数;其次,通过遗传算法(Genetic Algorithms,GA)的强全局搜索能力,结合粒子群算法(Particle Swarm Optimization,PSO)的快速收敛能力,形成GA-PSO算法以求解最优相序调整方案;最后,采用湖南某地区低压配电网中配电变压器三相电流数据开展算例分析,通过MATLAB仿真,结果表明该台区三相不平衡度由25.46%降低到13.42%,验证了所提方法的有效性和合理性。Aiming at the problems of three-phase unbalance caused by complex single-phase load access and low commutation efficiency of manual experience in low-voltage distribution network,a three-phase unbalance phase sequence adjustment strategy based on GA-PSO algorithm is proposed in this paper.Firstly,the objective function of the strategy is to minimise the three-phase current unbalance.Secondly,the GA-PSO algorithm is formed to solve the optimal phase sequence adjustment scheme by combining the strong global search ability of Genetic Algorithm(GA)with the fast convergence ability of Particle Swarm Optimization(PSO).Finally,the three-phase current data of distribution transformers in a low-voltage distribution network in a certain area of Hunan Province is used to carry out a numerical example analysis.Through MATLAB simulation,the results show that the three-phase unbalance degree of the station area is reduced from 25.46%to 13.42%,which verifies the effectiveness and rationality of the proposed method.

关 键 词：低压配电网 三相不平衡 相序调整 

分 类 号：TM31[电气工程—电机]