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| A Kind of Series Fault Arc Mathematical Model |
| Liu Yanli1, Guo Fengyi1, Li Lei2, Wang Zhiyong1, Wang Xili1 |
1. Faculty of Electrical and Control Engineering Liaoning Technical UniversityHuludao 125105 China;
2. Product Quality Supervision and Inspection Institute Huludao 125000 China |
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Abstract Series fault arc threatens supply safety of power the system. It is inappropriate to carry out series arc fault field test due to existence of flammable and explosive substances such as gas and coal dust. Therefore, we can’t obtain a large number of fault arc sample data. To analyze and diagnose the series fault arc occurred in special power supply system, which is unsuitable for fault arc field experiment, the following work was carried out. Firstly, lots of series fault arc experiments were carried out in the laboratory. The parameters of Mayer-Schwarz arc mathematical model: under different experimental conditions including arc time constant coefficient τm, constant α, arc dissipation power constant coefficient Ps, constant β, and arc initial conductance g obtained by numerical analysis. Secondly, after analyzing the grey correlational degree between experimental conditions and arc mathematical model parameters was analyzed. A neural network black box model was established to predict series fault arc mathematical model parameters under different circuit conditions. Thirdly, a mathematical model of series fault arc was established. And fault arc simulation was analyzed. Finally, the validity of the series fault arc mathematical model was verified by comparing experimental and simulation results. The research has a positive significance on fault diagnosis of series fault arc in power supply system which is not suitable for field experiments.
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Received: 17 February 2019
Published: 29 July 2019
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2019, Vol. 34 
