Use of Intelligent Techniques in the Power Quality Assessment Applications

This paper presents two new intelligent systems for power quality assessment applications. One is for automated power quality disturbance detection and classification, and the other is for power system model validation. Seeking improved performance over existing approaches for power quality disturbance detection and classification, a novel fuzzy-expert system utilizing fuzzy logic and expert system techniques has been proposed. The common types of power quality disturbances such as the voltage sags, swells, interruptions, flickers, impulses, etc. are considered. Membership selection and rule sets building of the fuzzy-expert system are illustrated in detail. A genetic algorithm based system for validating the power system model in capacitor switching studies has also been developed. The problem formulation and the proposed new solution are illustrated. The implementation of the two new systems is stressed. The feasibility of the developed systems for practical applications is demonstrated by evaluation studies.