A fault location method applied in power distribution systems based on k-NN classifiers parameterized using genetic algorithms and the reactance estimation
DOI:
https://doi.org/10.17533/udea.redin.18667Keywords:
fault impedance, fault location, knearest neighbors, power distribution systems, hybridAbstract
In this paper, a parameterization strategy of a k nearest neighbors (k-NN) based fault locator is described. This technique is complemented by a well validated location method based on the estimation of the fault impedance. This hybrid strategy is validated in a real power distribution feeder, having obtained acceptable results. Finally and as an important advantage of the here proponed methodology, it is remarkable the easy implementation process, considering real distribution feeders (more than 100 nodes).
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