神经网络理论在自适应谐波和无功电流检测中的应用  

The Application of Neural Network Theory in the Field of Adaptive Detecting Method of Harmonic and Reactive Currents

作　　者：廖志凌[1] 薛文平[1] 

机构地区：[1]江苏大学电气信息工程学院,江苏镇江212013

出　　处：《电测与仪表》2004年第12期17-20,共4页Electrical Measurement & Instrumentation

基　　金：江苏大学青年自然科学基金资助项目:JDQ03012

摘　　要：谐波和无功电流的实时检测是有源电力滤波系统中一个非常重要的环节。应用神经网络理论能够解决谐波和无功电流检测的精度和实时性问题,本文提出了一种基于神经网络的自适应谐波和无功电流的检测方法,分析了这种方法的检测原理,同时给出了其具体实现。仿真结果证明了该方法的有效性。Detecting harmonic and reactive currents is an important step in activ e power filter. The precision and real time problem of detecting harmonic and re active currents can be solved. By neural network theory this paper proposes an adaptive method of detecting harmonic and reactive currents based on neural netw ork, analyzes the principle of the method in detail and gives its realization. T he results of simulation confirm the validity of the method.

关 键 词：有源电力滤波器 神经网络 谐波电流 无功电流 

分 类 号：TM933.37[电气工程—电力电子与电力传动]