A fuzzy logic application for identification of harmonics disturbances sources

Author

Nawi, Syazlina Mohamad ; Johari, Juliana ; Abidin, Ahmad Farid

Author_Institution

Fac. of Electr. Eng., Univ. Technol. of MARA, Selangor, Malaysia

fYear

2003

fDate

15-16 Dec. 2003

Firstpage

27

Lastpage

31

Abstract

This paper represented an application of fuzzy logic to power quality issue. It describes the sources of harmonics detected, by using fuzzy sets and IF-THEN inferences rules. Harmonics can create unwanted impacts on power systems and to end-users. Electrical utilities, manufactures and customers have been bothered by harmonic distortion problems in power system. The harmonics is based on power quality and according to the IEEE 519-1992. The harmonic signals and spectrum are determined by the application of a fast Fourier transform (FFT). A fuzzy inference system is experimentally implemented for these cases, showing the general procedures of how to use this theory. It appears that fuzzy set theory can play an important rule in diagnosing power quality disturbances, and hence it can offer insights towards the satisfaction of the needs of manufacturers, utilities and customers.

Keywords

IEEE standards; fast Fourier transforms; fuzzy logic; harmonic distortion; power supply quality; power system harmonics; FFT; IEEE 519-1992; IF-THEN inferences rules; electrical utility; fast Fourier transform; fuzzy logic; fuzzy sets theory; harmonic distortion; power quality disturbances; power system harmonics; spectrum; Electrical equipment industry; Fast Fourier transforms; Frequency; Fuzzy logic; Fuzzy sets; Harmonic analysis; Harmonic distortion; Power quality; Power system harmonics; Switched-mode power supply;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering Conference, 2003. PECon 2003. Proceedings. National

Print_ISBN

0-7803-8208-0

Type

conf

DOI

10.1109/PECON.2003.1437411

Filename

1437411