k-NN based fault detection and classification methods for power transmission systems
作者： Aida Asadi Majd , Haidar Samet , Teymoor Ghanbari
DOI: 10.1186/S41601-017-0063-Z
关键词:
摘要: This paper deals with two new methods, based on k-NN algorithm, for fault detection and classification in distance protection. In these by finding the between each sample its fifth nearest neighbor a pre-default window, occurrence time faulty phases are determined. The maximum value of distances case procedures is compared pre-defined threshold values. main advantages methods are: simplicity, low calculation burden, acceptable accuracy, speed. performance proposed scheme tested typical system MATLAB Simulink. Various possible types different resistances, inception angles, locations, short circuit levels, X/R ratios, source load angles simulated. addition, similar six well-known techniques method using plenty simulation data.
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