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Erschienen in:
2019 | OriginalPaper | Buchkapitel
Open-Neutral Fault Detection in Underground Space Based on Genetic Support Vector Machine
verfasst von : Xuechen Zhao, Ping Wang, Jianchun Xing
Erschienen in: Advancements in Smart City and Intelligent Building
Verlag: Springer Singapore
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Abstract
When an open-neutral fault occurs in an underground space low-voltage distribution system, the neutral-point voltage will offset, which will make a lot of equipment unable to work normally. In order to solve such problem, the changes of third harmonic current and neutral-point offset voltage were studied and analyzed, the parameters of Support Vector Machine (SVM) was optimized by using a genetic algorithm. The output of SVM whether normal or fault state can be distinguished by taking the variation of harmonic current and neutral offset voltage as the input of SVM. The experimental result shows that the method of optimizing the parameters of SVM based on the genetic algorithm can effectively detect the fault.