FUZZY REASONING BASED RECOGNITION AND CLASSIFICATION OF TRANSIENTS IN POWER GRIDS

Abstract

The paper presents a fuzzy reasoning based method to recognize and classify various transients affecting the power grid quality. Different power grid transient disturbances are considered and simulated by means of ATP-EMTP program, then analyzed by the multiresolution analysis wavelets technique with calculated energy pattern corresponding to different decomposition levels using Parseval's theorem. The energy distribution pattern based on fuzzy logic reasoning was then applied along with linguistic rules to recognize and classify various transient phenomena. To facilitate the automatic process of recognition and classification of transients in power grid a user-friendly program was developed. The analysis conducted and results obtained show the merit of method in use and prospective applications of the wavelets technique to power disturbance assessments.