A Fuzzy Logic System for Fault Diagnosis in Electrical Power Substations
Publish place: 5th Intelligent Systems Conference
Publish Year: 1382
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ICS05_063
تاریخ نمایه سازی: 16 آذر 1390
Abstract:
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.
Authors
B Dehghan Shibany
Dept. of Computer and Control Engineering, Power and Water Institute of Technology (PWIT)