人工神经网络距离继电器的仿真研究

Simulation of Artificial Neural Network Distance Relay

距离继电保护是高压传输线继电保护的一种主要方法。传统距离继电器的精度受到不同的故障条件以及电网结构变化的影响,容易发生误动、拒动等现象,给电力系统带来重大损失。本文提出一种基于人工神经网络的距离继电器,该方法以三相电压和电流的基波分量幅值作为网络输入。仿真结果表明,与传统的继电器相比,该继电器反应迅速、准确,即使在不同的故障条件和网络条件下也能正常工作。

Distance relay protection is the main method for the protection of high voltage transmission lines. The reach accuracy of conventional distance relays is affected by different fault conditions and changes of network conditions. This paper proposes an artificial neural network distance relay. Compared with conventional relays, it responses quickly and accurately even if in different fault conditions or network conditions.