A novel software for harmonic analysis and harmonic source location

Author

Tianlei Zang ; Yuan Yang ; Zhengyou He ; Qingquan Qian

Author_Institution

Sch. of Electr. Eng., Southwest Jiaotong Univ., Chengdu, China

fYear

2014

fDate

27-29 June 2014

Firstpage

116

Lastpage

119

Abstract

To better identify harmonic pollution source, a software for harmonic analysis and harmonic source location is introduced in this paper. Firstly, the function framework of the software is established and the technical route of the software is designed. Besides, harmonic analysis is conducted by interpolation FFT algorithm with Hamming windowing. Location of harmonic source is determined by sparse reconstruction algorithm in allusion to undetermined harmonic measurement equation set. Furthermore, to ensure the observability of power network, the configuration algorithm of harmonic measurement nodes is given. The software has a good practicability, strong data processing ability, easy system maintenance, good application extension function and promotional value.

Keywords

distribution networks; fast Fourier transforms; interpolation; power engineering computing; power system harmonics; Hamming windowing; harmonic analysis; harmonic measurement node configuration algorithm; harmonic pollution source identification; harmonic source location; interpolation FFT algorithm; power network observability; software function framework; sparse reconstruction algorithm; undetermined harmonic measurement equation set; Current measurement; Harmonic analysis; Position measurement; Power system harmonics; Software; Software measurement; Voltage measurement; configuration algorithm; harmonic analysis; harmonic source location; software development; sparse reconstruction;

fLanguage

English

Publisher

ieee

Conference_Titel

Software Engineering and Service Science (ICSESS), 2014 5th IEEE International Conference on

Conference_Location

Beijing

ISSN

2327-0586

Print_ISBN

978-1-4799-3278-8

Type

conf

DOI

10.1109/ICSESS.2014.6933525

Filename

6933525