Harmonic identification based on DSC and MAF for three-phase shunt Active Power Filter

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Abstract

Harmonic current identification is very important in control of Active Power Filters. The dq Synchronous Reference Frame (SRF) based reference-current extraction technique has been widely utilized for this purpose. The dynamic performance of reference-current detection is dependent on numerical filters. In this paper, the two most popular filters, Delayed Signal Cancellation (DSC) and Moving Average Filter (MAF) are utilized in the rotating reference frame for both fundamental component identification and selective harmonic identification. A comprehensive comparison of the performance of these two filters is then carried out. Experimental results from digital implementation are provided to substantiate the theoretical analysis and simulation results.
Original languageEnglish
Title of host publication2019 29th Australasian Universities Power Engineering Conference (AUPEC)
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-6
Number of pages6
ISBN (Electronic)9781728150437, 9781728150420
ISBN (Print)9781728150444
DOIs
Publication statusPublished - 2019
Event2019 29th Australasian Universities Power Engineering Conference - Nadi, Fiji
Duration: 26 Nov 201929 Nov 2019

Publication series

Name
ISSN (Print)2474-1493
ISSN (Electronic)2474-1507

Conference

Conference2019 29th Australasian Universities Power Engineering Conference
Abbreviated titleAUPEC
CountryFiji
CityNadi
Period26/11/1929/11/19

Cite this

Kashif, M., Hossain, M. J., Ali, S. M. N., Sharma, V., & Nizami, M. S. H. (2019). Harmonic identification based on DSC and MAF for three-phase shunt Active Power Filter. In 2019 29th Australasian Universities Power Engineering Conference (AUPEC) (pp. 1-6). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/AUPEC48547.2019.211898