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Distance Relay Protection for short and Long Transmission line

机译:短距离和长距离传输线的距离继电器保护

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The advanced application of Artificial Neural Network was introduced recently in Protection of Transmission lines in Electric Power Systems. In this proposed research, the application of ANFIS and ANN for Distance Relay Protection for short and long Transmission line, under different loading conditions, in Electrical Power systems will be introduced and discussed. Considering different loading conditions, the suggested and proposed technique deals with fault detection, classification, and location in short and long Transmission lines. All these tasks will be addressed in details in this article. It considers; firstly, detecting the fault occurrence in very short time and isolate the faulty section of the short and long transmission lines. Secondly to classify the fault type and deduce which of the three phases are exposed to the fault. Finally, locating the fault will be achieved easily. The input training data of the detection units are firstly derived from the fundamental values of the voltage and current measurements (using digital signal processing via Discrete Fourier Transform (DFT)). These measurements were simulated considering different loading conditions.
机译:人工神经网络的先进应用最近被引入电力系统传输线保护中。在这项拟议的研究中,将介绍和讨论ANFIS和ANN在不同负载条件下在电力系统中短距离和长距离线路的距离继电保护中的应用。考虑到不同的负载条件,建议和提议的技术用于短和长输电线路的故障检测,分类和定位。本文将详细介绍所有这些任务。它认为;首先,要在很短的时间内检测出故障的发生,并隔离长短线路的故障部分。其次,对故障类型进行分类,并推论出三相中哪一相暴露于故障。最终,定位故障将很容易实现。首先从电压和电流测量的基本值中得出检测单元的输入训练数据(使用通过离散傅立叶变换(DFT)进行的数字信号处理)。考虑不同的负载条件对这些测量进行了模拟。

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