基于人工神经网络的相位跟踪研究

Research on Phase Tracking Based on Artificial Neural Network

本文介绍了一种基于人工神经网络的相位跟踪控制方法,当电网并网时,用于对控制电流与电网电压进行同相位跟踪,以实现对电网电压的同步跟踪。经MATLAB电力系统动态仿真,验证了该文提出的BP控制方法,跟踪性能良好,具有较强地自适应能力。

This paper introduces a method of the phase tracking based on artificial neural network,which can track the same phase between control current and distribution network voltage when distribution network with parallel operation,so the distribution network voltage can be synchronous tracked.The BP control method proposed in this paper has better tracking performance and stronger adap-tive ability,which is proved by dynamic simulation of MATLAB power system.