2014 International Conference on Green Computing Communication and Electrical Engineering (ICGCCEE) 2014
DOI: 10.1109/icgccee.2014.6922376
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Soft computing techniques for fault detection in power distribution systems: A review

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Cited by 7 publications
(3 citation statements)
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“…The authors [12] confirm the need to study the problem of locating faults in EDS with DG, with new methods and with the combination of traditional methods. Similarly, the authors [13] indicate the importance of conducting investigations in locating faults in EDS with parallel approaches, i.e. combining different methods.…”
Section: Introductionmentioning
confidence: 94%
“…The authors [12] confirm the need to study the problem of locating faults in EDS with DG, with new methods and with the combination of traditional methods. Similarly, the authors [13] indicate the importance of conducting investigations in locating faults in EDS with parallel approaches, i.e. combining different methods.…”
Section: Introductionmentioning
confidence: 94%
“…This in turn necessitates the need for implementing automated self-healing mechanisms in active distribution networks. There are many artificial intelligence methods that have been proposed in the literature to restore radial distribution systems [3][4][5][6][7][8][9][10].…”
Section: Introductionmentioning
confidence: 99%
“…Presently, there is not much work on combining two detection schemes (hybrid-detection scheme) to fit it into a single system. Current works that is related to hybrid-detection schemes are mostly on fuzzy logic and data-driven techniques, such as ANN [178,179] or GA [180]. Through an in-depth computation and analysis of the detection scheme, it will contribute to a faster computational process and achieve a better optimization in the classification of fault and intermittency, variation of the controller's parameter, and a faster clearance time of power compensation devices.…”
mentioning
confidence: 99%