Based on the improved HHT and its application in the power quality detection of microgrid

Author

Li, Peng ; Fei, Liqiang ; Qian, Jiang ; Chen, Jing ; Li, Xiaochun

Author_Institution

Sch. of Electr. & Electron. Eng., North China Electr. Power Univ., Baoding, China

fYear

2011

fDate

20-23 Aug. 2011

Firstpage

1

Lastpage

5

Abstract

This paper presents a new power quality detection method based on the improved HHT in microgrid. Hilbert-Huang Transform (HHT) can distill these disturbing signals automatically and time-frequency spectrum can be obtained. However, in the application of this method there are serious end effects that mixed mode phenomenon will appear, affecting the detecting results. In order to suppress the end effects, the original data is extended by Least Squares Support Vector Machine (LS-SVM). The results show that the improved HHT method is effective to control the end effects and the frequency and amplitude of disturbing signal will be detected quickly and effectively.

Keywords

Hilbert transforms; distributed power generation; least squares approximations; power engineering computing; power supply quality; support vector machines; HHT; Hilbert-Huang transform; LS-SVM; least squares support vector machine; microgrid; power quality detection; time-frequency spectrum; Harmonic analysis; Power harmonic filters; Support vector machines; Time frequency analysis; Transforms; Voltage fluctuations; Least Squares Support Vector Machine; detection method; microgrid; power quality; the improved HHT;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Machines and Systems (ICEMS), 2011 International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4577-1044-5

Type

conf

DOI

10.1109/ICEMS.2011.6073708

Filename

6073708