An Optimal PMU Placement Scheme for Early Prediction of Transient Instabilities in Power Systems

Recently, technological developments in PMUs have led to a widespread deployment of PMUs in electrical power systems to carry out many online applications, thanks to their high reporting rates and synchronized measurements. Since it may not be feasible to deploy a PMU on every bus in the system, a selected number of buses can be chosen for the deployment of PMUs to achieve a certain task. In this paper, a new PMU placement method based on feature selection algorithms for obtaining a high accuracy in early predicting of transient instabilities is proposed. The optimal PMU locations are selected according to two different feature selection methods, which are filtering based and feature importance based algorithms. The feature selection methods are implemented with the use of a classifier based on LightGBM. The proposed method is demonstrated on the 127-bus Western Systems Coordinating Council test system.