Automated fault detection in power distribution networks using a hybrid fuzzy–genetic algorithm approach
- 1 August 2000
- journal article
- Published by Elsevier BV in Engineering Applications of Artificial Intelligence
- Vol. 13 (4), 407-418
- https://doi.org/10.1016/s0952-1976(00)00012-9
Abstract
No abstract availableKeywords
This publication has 9 references indexed in Scilit:
- Fault detection and diagnosis of power systems using artificial neural networksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Fuzzy logic approach in power system fault section identificationIEE Proceedings - Generation, Transmission and Distribution, 1997
- Fault section estimation in power systems using a genetic algorithmElectric Power Systems Research, 1995
- A fuzzy-set approach to fault-type identification in digital relayingIEEE Transactions on Power Delivery, 1995
- A heuristic based fuzzy reasoning approach for distribution system service restorationIEEE Transactions on Power Delivery, 1994
- Using fuzzy sets to model the uncertainty in the fault location process of distribution networksIEEE Transactions on Power Delivery, 1994
- Intelligent operation of distribution networkIEE Proceedings - Generation, Transmission and Distribution, 1994
- Distribution system load estimation and service restoration using a fuzzy set approachIEEE Transactions on Power Delivery, 1993
- An expert system for locating distribution system faultsIEEE Transactions on Power Delivery, 1991