A Fuzzy Logic System for Fault Diagnosis in Electrical Power Substations

In this paper application of Artificial Intelligence (AI) or Soft-Computing paradigms i.e. Expert System, Neural Network, Fuzzy Logic and Genetic Algorithm (GA) in Fault Diagnosis system are discussed. Advantages of each paradigm are studied in a case study. Fault Diagnosis in a substation with Double bus, one and half breakers structure in Fars Regional Electrical Company (FREC) has been chosen as the case study. A fuzzy logic expert system is proposed for fault diagnosis in this substation which can be used to aid operators in detecting the main failed section of the substation.