基于自适应线性神经元网络的三相畸变电流检测方法及实现  

A DETECTING APPROACH OF THREE-PHASE DISTORTION CURRENTS BASED ON ADAPTIVE LINEAR NEURAL NETWORK AND ITS BEING REALIZED

作　　者：高大威[1] 孙孝瑞[1] 

机构地区：[1]华北电力大学电力工程系,北京100085

出　　处：《中国电机工程学报》2001年第3期49-52,共4页Proceedings of the CSEE

摘　　要：文章基于自适应线性神经元网络 ,给出了一种可在三相不对称非线性负载情况下用于有源电力滤波器的畸变电流检测方法 ,该方法具有实时、准确、能自适应跟踪负载电流的变化等特点。并针对所给出的方法用模拟电路加以实现。计算机仿真和实验结果证实了该方法及所提出模拟电路的可行性。In this paper, a detecting approach of distortion currents based on adaptive linear neural network for active power filters is given,which can be used under the condition of three phase unbalanced nonlinear loads. The proposed approach, with some advantages,such as real time, high accuracy, adaptability to load currents,etc., is also realized by analog circuits. The results of the computer simulation and experiment confirm the feasibility of the approach and the analog circuits.

关 键 词：三相畸变电流 检测 神经元网络 有源电力滤波器 自适应 

分 类 号：TM935.24[电气工程—电力电子与电力传动]