A knowledge-based system for on-line diagnosis of power system fault allocation

This paper presents a knowledge-based system for the online diagnosis of power system fault allocation (SIDUF-TR), which is a decision making support for the energy center operators in Mexico. A new inference method for possible faulted elements is proposed, which uses real-time information of the tripped relays and circuit breakers to generate a decision tree describing the operation of the protection schemes in the power system. The inference method conforms the branches of decision trees performing a classification process which identifies the type of relay and circuit breaker operation for different possible faulted elements. Some results for practical cases using SIDUF-TR are presented in this paper to demonstrate its effectiveness