基于OTBurg和改进Adaline神经网络的电力系统间谐波分析

作者：熊华维，陈国志，陈隆道* 日期：2010-06-28/span> 浏览：3513 查看PDF文档

基于OTBurg和改进Adaline神经网络的电力系统间谐波分析
熊华维，陈国志，陈隆道*
（浙江大学 电气工程学院，浙江 杭州 310027）

摘要：在电力系统间谐波分析中，当间谐波频率与基波整数倍频率非常接近时，传统分析方法由于谱峰偏移和谱线泄漏往往分离不出此类间谐波。提出了将最佳收敛伯格窗（OTBurg）与改进Adaline神经网络结合的间谐波分析方法，以提高此类间谐波的分析精度。Matlab仿真结果表明，OTBurg算法频率分辨率高、检测准确、收敛快，与改进Adaline神经网络结合具有更精确的电力系统间谐波分析能力。
关键词：间谐波；最佳收敛伯格窗；神经网络；Adaline
中图分类号：TM935文献标识码：A文章编号：1001-4551(2010)05-0047-04

Interharmonic analysis in power system based on OTBurg
and enhanced Adaline neutral network

XIONG Huawei, CHEN Guozhi, CHEN Longdao
(College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

Abstract: In traditional algorithm interharmonics analyzing of electrical power system, the numbers and frequencies of the interharmonics couldnt be obtained because of frequency offset and frequency leakage, when the frequencies of the interharmonics are quite near the fundamental harmonics integral multiple. An interharmonic parameter estimation algorithm based on optimum tapered burg(OTBurg) and enhanced Adaline neural network was proposed to solve the problem. The Matlab simulation results show that the OTBurg algorithm has the characteristics of high frequency resolution, detect accuracy and fast convergence, and it has the ability of precise interharmonic analysis in electrical power system when combined with the enhanced Adaline neutral network.
Key words: interharmonic; optimum tapered burg(OTBurg); neutral network; Adaline