Relationships Exploration for Real-time Static Voltage Stability Prediction of Power Systems

Abstract

Abstract-An approach based on data mining and relationships exploration is presented for estimating the static voltage stability relative margin of power systems. The data set is created based on simulations by the software PSS /E. The input variables selected for estimation are corresponding to the relationships highly ranked by MIC and PPMCC. These relationships are also shown and some of them are explained from the perspective of power system operation. If the measured values of these variables are obtained from wide area measurement system (WAMS ), the relative margin can be estimated in real time since its relationships with these variables are explored. The approach is tested on a 39-bus system provided by PS S /E and illustrative results indicate the scheme is accurate and effective. Keywords-Maximal information coefficient (MIC);