考虑差异化负荷特性的基于改进遗传算法的供电可靠性分析  

Power supply reliability analysis based on improved genetic algorithm considering differential load characteristics

作　　者：王勇[1,2] 金飞宇 张子信 王麒翔 车延博 WANG Yong;JIN Feiyu;ZHANG Zixin;WANG Qixiang;CHE Yanbo(School of Electrical&Electronic Engineering,North China Electric Power University,Baoding 071003,China;Institute of Economics and Technology,State Grid Liaoning Electric Power Co.Ltd.,Shenyang 110004,China;School of Electrical and Information Engineering,Tianjin University,Tianjin 300072,China)

机构地区：[1]华北电力大学电气与电子工程学院,河北保定071003 [2]国网辽宁省电力有限公司经济技术研究院,沈阳110004 [3]天津大学电气自动化与信息工程学院,天津300072

出　　处：《沈阳工业大学学报》2023年第5期491-496,共6页Journal of Shenyang University of Technology

基　　金：国家自然科学基金民航联合基金项目(U1533126).

摘　　要：针对现有大多数供电可靠性分析模型未考虑负荷特征的问题,提出了一种基于改进遗传算法的可靠性分析模型.该模型利用模糊C均值聚类算法提取负荷特征并对其进行分类,并根据负荷差异性计算耦合度用于量化负荷匹配程度.同时,利用小生境技术改进的遗传算法求解供电可靠性最大化的问题模型,从而得到最佳的负荷调度方案.基于构建的区域电网平台对所提模型进行的实验结果表明,其综合评价值达到了96.189,且各个指标均较为理想.Aiming at the problem that most existing power supply reliability analysis models do not consider the load characteristics,a reliability analysis model based on the improved genetic algorithm was proposed.The fuzzy C-means clustering algorithm was used to extract load characteristics and classify them,and calculate the coupling degree in terms of the load difference to quantify the load matching degree.At the same time,the genetic algorithm improved by niche technology was used to solve the problem model of maximizing power supply reliability for the best load scheduling scheme.According to the regional power grid platform,the experimental results of the as-proposed model show that the comprehensive evaluation value reaches 96.189,and each reliability index is satisfying.

关 键 词：差异化负荷 供电可靠性 模糊C均值聚类算法 耦合度 小生境技术 改进遗传算法 负荷特性 区域电网 

分 类 号：TM714[电气工程—电力系统及自动化]