电气技术Issue(12)：25-30,6.
配电系统谐波扰动的定位与识别研究
Localization and Identification Research of Harmonic Disturbance in Power Distribution System
摘要
Abstract
According to the nonstationarity, mutability and short duration of harmonic disturbance in power distribution system, it is difficult to localize and identify harmonic disturbance with high speed and accuracy. In order to improve localization and identification results of harmonic disturbance, a new method is proposed based on lifting wavelet and improved BP neural network. At first, the Euclidean decomposition principle is used to obtain db4 wavelet lifting scheme. Then, harmonic disturbance signal is decomposed through lifting wavelet analysis, and mutation peak of harmonic disturbance is localized using lifting wavelet modulus maxim. At last, traditional BP algorithm is improved by combining increasing momentum method with self-adaption learning rate method, and improved BP neural network is used to identify harmonic disturbance. The simulation results show that the proposed method can better localize the harmonic disturbances’ time information with high speed and accuracy, and can identify harmonic disturbance with high discrimination ratio.关键词
配电系统/谐波扰动/提升小波/BP神经网络/定位与识别Key words
distribution system/harmonic disturbance/lifting wavelet/BP neural network/localization and identification引用本文复制引用
何巨龙,王根平,刘丹,唐友明..配电系统谐波扰动的定位与识别研究[J].电气技术,2016,(12):25-30,6.基金项目
深圳市科技研发资金 （）
