基于粒子群优化算法的电网动态拓扑结构智能识别技术  

Intelligent identification technology of power grid dynamic topology based on particle swarm optimization algorithm

作　　者：郭岩岩 Guo Yanyan(Zhengzhou Power Supply Company Internet Department (Data Center),State Grid Henan Electric Power Co., Henan Zhengzhou, 450052, China)

机构地区：[1]国网河南省电力公司郑州供电公司互联网部(数据中心),河南郑州450052

出　　处：《机械设计与制造工程》2022年第3期127-130,共4页Machine Design and Manufacturing Engineering

摘　　要：为精准识别电网动态拓扑结构中的故障,研究了基于粒子群优化算法的电网动态拓扑结构智能识别技术。分析了电网动态拓扑结构特点,构建了电网动态拓扑图数据库,通过图数据库创建层获取数据源,并对数据进行了图数据化处理;设计了包含图数据库创建层与电网动态拓扑结构识别层在内的智能识别技术,结合深度优先遍历算法和粒子群优化算法,智能识别了拓扑结构中的一类环路、二类环路及孤点故障。实验结果表明,该技术可识别复杂电网的动态拓扑结构故障,识别率为98.75%,提高了故障识别的准确率。In order to accurately identify faults in power grid dynamic topology,the intelligent identification technology of power grid dynamic topology based on particle swarm optimization algorithm is studied.The characteristics of power grid dynamic topology structure are analyzed,and the power grid dynamic topology map database is constructed.The data source is obtained through the map database creation layer,and the data is processed into map data;Intelligent identification technology including graph database creation layer and power grid dynamic topology identification layer is designed.Combined with depth first traversal algorithm and particle swarm optimization algorithm,class I loop,class II loop and isolated point fault in topology are identified intelligently.The experimental results show that this technology can identify the dynamic topology faults of complex power grid,and the recognition rate is 98.75%,which improves the accuracy of fault recognition,completes the intelligent identification technology design of power grid dynamic topology.

关 键 词：图数据库 电网拓扑结构 遍历算法 故障识别 

分 类 号：TM711[电气工程—电力系统及自动化]