Fault section diagnosis of power system using fuzzy logic

Abstract

This paper proposed a fast diagnosis system for estimating the fault section of power system by using hybrid cause-effect network and fuzzy logic. This proposed system builds the cause-effect networks, which represent the fuzzy relations of protective relays and circuit breakers (CBs) for selection of faulty sections in blackout areas. In order to deal with the uncertain information in the process of diagnosis, a fuzzy-logic method is derived. Since the cause-effect network is well suited for parallel processing and the fuzzy logic has fast solution advantage, the inferential speed can be improved significantly. An error detector also was developed in this system to handle malfunction of relays and circuit breakers. Many tests have been run to show its effectiveness. Results show that the proposed system is a very effective method.Index Terms-fault section diagnosis, cause-effect network, protective relays, circuit breakers, fuzzy logic.

Predictive Data Mining Techniques for Fault Diagnosis of Electric Equipment: A Review

“…Although promising results have been obtained using FLSs, a relatively high superiority of an adaptive neuro fuzzy inference system for DGA is presented in [52], obtaining an accuracy of 98% for all the 100 fault cases under study, while FL obtained 95%. Regarding other electric systems an equipment, the fault diagnosis of the power system using fuzzy logic is presented in [53]. An online monitoring system of voltage variations in electric systems is presented in [54], where an FLS is used to diagnose and classify instantaneously, i.e., sample to sample, the severity of the electric variation.…”

Real-Time Circuit Breaker Availability Assessment in the Transmission Network

“…If |∆I| denotes the absolute value of the sensitivity of the breaker current change and the same is defined by the amount change and current flow in the network element to its relative state before that change and the current before that change on a given network element, then the absolute sensitivity of the current change can be expressed by [18]:…”

“…Many researchers do not address the problem of diagnosing the breaker state and its availability to perform a function in the likelihood of an undesirable event [10][11][12][13][14]. Only few papers determine the breaker availability or fault section availability using fuzzy logic but not in real-time [15][16][17][18][19]. It is important to note here that there are various methods for measuring phasor voltages or currents, the implementation of which could have high accuracy in determining the available switch states.…”

On fuzzy predictive diagnosis of pump-motor group of oleo-pneumatic drive mechanisms

“…A fuzzy diagnostic system for estimating the fault section of power system is presented in [7], and an adaptive version using matrix representations with fuzzy relations is introduced in [8]. Online fault diagnosis system on a transmission network can be implemented based on fuzzy Petri nets [9] or with a fuzzy expert system, as shown in [10].…”