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Neural network based multi-parameter feeder protective relay in traction supply system

机译:牵引供电系统中基于神经网络的多参数馈线继电保护

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With the development of electrified railways, higher demands on feeder protective relaying have been put forward. Although conventional feeder protection relays generally work well, they cannot meet these new demands. A neural net-based multi-parameter feeder protective relaying approach is proposed in this paper. Because this novel approach can express the inherent relations between the signal features, it is suitable for the adaptive protective relaying and the detection of complex faults. Computer simulation results show that this novel approach is both effective and satisfactory.
机译:随着电气化铁路的发展,对支线继电保护提出了更高的要求。尽管常规的馈线保护继电器通常可以很好地工作,但它们不能满足这些新的要求。提出了一种基于神经网络的多参数馈线保护继电保护方法。因为这种新颖的方法可以表达信号特征之间的固有关系,所以它适用于自适应保护继电和复杂故障的检测。计算机仿真结果表明,这种新颖的方法既有效又令人满意。

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