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

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.