The Sequential Importance Sampling Particle Filter with a Systematic Resampling in the State Estimation of Power Systems

Abstract

Power System State Estimation (PSSE) is a substantial matter in the management of electrical power systems (EPS). This article provides a referential study for the understanding of the Sequential Importance Sampling (SIS) Particle Filter (PF) with a Systematic Resampling (SysR) in PSSE. Two performance indexes are used to assess the performance of the SIS PF with SysR: an index of error ($\epsilon $) and the J Performance Index. Also, the implementation of the method was tested in two standard power systems, the IEEE 14-bus and 30-bus test cases, under two scenarios which are the normal operation and sudden load change. The algorithms that support the implementation of the method were tested in MATLAB. From test results, they help support the feasibility of the method for state estimation applications.