Harmonic Analysis Approach Based on Wavelet Transform and Neural Network

摘要：

The paper presents a new approach based on wavelet and neural network for the estimation of harmonic components in the power system.This proposed method preprocesses the signal using wavelet analysis to get feature extraction of signals.Then it analyses and calculates the feature vector by the artificial neural network (ANN),and the harmonic components of the current can be got.The combination of wavelet and ANN make up for each others deficiencies and it can solve the frequency aliasing effectively.The structure of this method and the specific algorithm are presented.The simulation model is also built and the results show that the harmonic components can be detected at real time with high precision.

关键词： Harmonic Analysis:Wavelet Transform:Neural Network

作者: Gong Maofa Liu Xiaocong Chai Longqing Gong Liming Li Guoliang

作者单位: College of Information and Electrical Eng.Shandong University of Science &Technology Qingdao,China

会议类型: 国际会议

会议名称: 2011 4th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies(第四届电力设施管制、重建及能源技术国际会议 DRPT 2011)

会议地点: 威海

会议语种:英文

页码: 574-576

在线出版日期: 2011-07-06（万方平台首次上网日期，不代表论文的发表时间）