Power System Fault Detection Automation Based on Fuzzy Logic

Abstract

Fuzzy logic provides an appropriate way to incorporate an individual's knowledge into expert systems using descriptive language expressions. A large number of commercially successful applications in power energy systems show that fuzzy logic can be used very successfully, especially during disturbances. During a disturbance, automation of system fault analysis and information processing becomes desirable and necessary, due to the large increase in data collected from the system. The paper analyzes the possibilities for implementing automated fault analysis systems based on digital fault recorders, digital protection relays, sequence of events recorders, intelligent alarm processors and lightning location systems. These systems are interconnected with Intelligent Electronic Devices, supervisory control and data acquisition systems, remote terminal units or protection devices which are combined with different intelligent electronic devices in the system. For large number of devices and data, fuzzy systems have proven to be effective in detecting and classifying power system failures.