Fault Diagnosis in Power System Using Hybrid Fuzzy-GA Approach

In this chapter, an intelligent technique of Fuzzy – GA (FGA) approach is proposed for detecting faults. This method reduces the time significantly in identifying the exact location of the faulty section and also detects the faulty circuit breaker (CB) in the network for further diagnosis. With the advancement of technologies it is becoming imperative to have a stable, secure and uninterrupted supply of power to electronic systems as well as to ensure the identification of faults occurring in these systems quickly and efficiently in case of any accident. Operators must identify the defective segments as soon as feasible in order to reduce outage times and increase service dependability. This method requires drastically less memory to keep the database and recognizes crucial device regions. Shealthy for the healthy section and Sisland for the faulty section by means of post defect condition with CB’s and Relays. Next, it determines membership function (or participation function) for every potential defect segment. The highest choosing strategy is used to select the defect segment that is most manageable. The method is explained, tested, and applied in case studies on an IEEE 33kV distribution system and a Micro-Grid system. The main advantages of the suggested approach are its flexibility, reduced memory requirements, and reduced computing time. In addition to the advantages listed above, the fuzzy-GA expert system is significantly quicker and more precise.