基于遗传算法的微电网无功优化研究  

Study on Reactive Power Optimization of Microgrid Based on Genetic Algorithm

作　　者：杨之俊[1] YANG Zhijun(Design Institute Group Co.,Ltd,Hefei University of Technology,Anhui 230009,China)

机构地区：[1]合肥工业大学设计院(集团)有限公司,安徽230009

出　　处：《集成电路应用》2018年第12期93-94,共2页Application of IC

基　　金：合肥工业大学科学研究发展基金(2013HGXJ0464)

摘　　要：无功补偿对微电网的运行起重要作用,通过对感性负荷的补偿,改善用户电能质量、提高微电网的稳定性和经济运行。微电网无功补偿问题涉及很多因素,如无功补偿点选择和补偿容量的确定,是一个混合非线性规划问题。本文基于微电网的特点和结构,提出了一种新的无功补偿方案,以网损和无功投资总量最小为目标建立了微电网无功优化模型,基于遗传算法,设计了微电网无功优化流程图。在一个微电网实例中,验证了优化无功补偿对用户电压水平的改善效果。Reactive power compensation plays an important role in the operation of microgrid.The power quality can be improved by compensating the inductive load.The problem of reactive power compensation in microgrid involves many factors,such as the choice of reactive power compensation and the determination of compensation capacity,and it is a mixed nonlinear programming problem.Based on the characteristics and structure of microgrid,a new reactive power compensation scheme is proposed,and the reactive power optimization model is established based on the minimum net loss and reactive power investment.In the last example,the effect of reactive power optimization on the user voltage level is verified.

关 键 词：微电网 无功补偿 遗传算法 潮流计算 稳定性 

分 类 号：TM714[电气工程—电力系统及自动化]