Fuzzy Logic Based Approach for Power System Fault Section Analysis

Author:

Dugaya Neeti1,Shandilya Smita1

Affiliation:

1. Sagar Institute of Research, Technology & Science, India

Abstract

In this chapter, a fuzzy expert system is developed to assist the operators in fault detection. It requires much less memory to store the database (power system topology and the post fault status of circuit breakers and protective relays). The fuzzy expert system identifies two basic network section sets, Shealthy for the healthy sub network and Sisland for the fault islands, using the post fault status of circuit breakers and relays. It then calculates membership function for each possible fault section. The objective of this calculation is to determine the likelihood of each candidate fault section as the actual fault section. Moreover membership functions provide a convenient means of ranking among possible (or candidate) fault sections, and are the most important factors in decision making. During decision making, the most possible fault section is determined by maximum selection method. In this method most possible fault section is the one which is having highest membership grade. MATLAB code for the proposed scheme is developed and the results obtained in four cases for a power- system network.

Publisher

IGI Global

Reference20 articles.

1. Power system fault diagnosis using fuzzy sets for uncertainties processing

2. Fuzzy logic approach in power system fault section identification

3. Fukm, D., & Kawakame, J. (1986). An expert system for fault section estimation using mfonnatlon from protective relays and circuit breakers. IEEE Trans Power Delivery, 4, 83-90.

4. An Expert System for Fault Section Estimation Using Information from Protective Relays and Circuit Breakers

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