Double-circuit line adaptive protection based on Kohonen neural network considering different operation and switching modes

S. Skok, A. Marusic, S. Tesnjak, I. Pavić
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引用次数: 9

Abstract

This paper deals with problems connected to the distance protection of double-circuit transmission lines. Because of the zero sequence mutual coupling of parallel circuits, the relay "sees" incorrect impedance. In this paper, the authors develop an adaptive model which solves problems of single-line-to-ground faults on a single line. Different operation modes change short circuit currents (I/sub k1/ - phase-to-earth short circuit current and I/sub k3/ - three-phase short circuit current) on both ends. In fact, the parameters of the active network will be changed. The idea was to develop an adaptive model with different independent Kohonen networks. Each network is trained with short-circuit examples according to the switching mode and operation mode. Input parameters are voltage, current, switching mode and operation mode. The developed adaptive model was tested on a double-circuit 400 kV transmission line.
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基于Kohonen神经网络的考虑不同操作和开关方式的双回线自适应保护
本文讨论了双回传输线的距离保护问题。由于并联电路的零序相互耦合,继电器“看到”不正确的阻抗。在本文中,作者提出了一种自适应模型来解决单线对地故障问题。不同的操作方式会改变两端的短路电流(I/sub k1/ -相对地短路电流和I/sub k3/ -三相短路电流)。实际上,活动网络的参数将被改变。这个想法是开发一个具有不同独立Kohonen网络的自适应模型。每个网络根据切换方式和运行方式用短路样例进行训练。输入参数有电压、电流、开关方式和操作方式。所建立的自适应模型在一条400kv双回输电线路上进行了试验。
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