基于大维随机矩阵的电网异常快速检测方法  

Abnormal Situation Detection in Power Grid with Large-dimensional Random Matrix Spectral Distribution

作　　者：李子龙[1] 刘亚东[1] 王耀东[1] 陈洪涛 刘宗杰[3] 盛戈皞[1] 江秀臣[1] LI Zilong LIU Yadong WANG Yaodong CHEN Hongtao LIU Zongjie SHENG Gehao JIANG Xiuchen(Department of Electrical Engineering, Shanghai Jiaotong University, Shanghai 200240, China State Grid Shanghai Electric Power Company, Shanghai 200080, China State Grid Jining Power Supply Company, Jining 272023, China)

机构地区：[1]上海交通大学电气工程系,上海200240 [2]国网上海电力公司,上海200080 [3]国网山东省电力公司济宁供电公司,山东济宁272023

出　　处：《陕西电力》2017年第3期77-81,共5页Shanxi Electric Power

基　　金：国家自然科学基金项目资助(51307109);科技部国际合作项目(2013DFG71630);上海市科委科研计划项目

摘　　要：随着互联网技术的发展和电网规模的扩大,基于同步相量测量装置的广域测量系统应运而生。介绍了大维随机矩阵基本概念和定理,提出了基于大维随机矩阵谱分布的电网异常状态检测原理和判据,并对案例中PMU频率监控数据进行分析,结果表明,该方法可灵敏检测电网异常,快速做出判断。With the development of internet techniques and the enlargement of power grid, phase measurement unit （PMU） based wide area measurement system （WAMS） comes into being. This paper introduces the basic concept and rule on large-dimensional random matrix, proposes the detection principle and criterion for determining whether abnormal situation happened in a power grid with large-dimensional random matrix spectral distribution, and analyzes the frequency data from PMU in a case. The results show that the criterion can accurately determine the abnormal situation in the grid rapidly.

关 键 词：大维随机矩阵 谱分析 电网异常检测 同步相量测量装置(PMU) 电网 

分 类 号：TM92[电气工程—电力电子与电力传动]