Research on Quick Detection of Abnormal Events in Power Grid Based on the Large Dimensional Random Matrix Theory

Abstract

Detecting abnormal operating states in the power grid is a fundamental method used in processing abnormal events in the power grid, while the massive applications of WAMS (wide area measurement system) provide conditions for detecting weak anomalies in the power grid. According to the random matrix theory, acquisition signals of a variety of PMUs (phase measurement units) were constructed into a large-dimensional random matrix. Based on the characteristics of spectral distribution of the large dimensional random matrix, the principle and criterion for detecting abnormal states in the power grid were proposed on the basis of the spectral distribution of the large-dimensional random matrix. What's more, the detection method proposed was proven to be effective by analyzing PMU frequency monitoring data in the case. The method proposed in this paper can be used for sensitively detecting abnormal events in the power grid and making a quick judgment, which offers a new way of analyzing and processing abnormal events in the power grid.