A novel heuristic optimisation algorithm for automated design of resonant compensators for shunt active filters

Journal article

Authors/Editors

WANCHAK LENWARI

Strategic Research Themes

No matching items found.

Publication Details

Author list: Lenwari W., Okaeme N.

Publisher: Wiley Open Access

Publication year: 2013

Journal: IET Power Electronics (1755-4535)

Volume number: 6

Issue number: 9

Start page: 1842

End page: 1850

Number of pages: 9

ISSN: 1755-4535

eISSN: 1755-4543

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84892652038&doi=10.1049%2fiet-pel.2012.0755&partnerID=40&md5=75a7d0e4366db9569b993c3da43c33d0

Languages: English-Great Britain (EN-GB)

View in Web of Science | View on publisher site | View citing articles in Web of Science

Abstract

This study presents the automated control design for shunt active filters using a novel heuristic optimisation algorithm. The hybrid bacterial foraging optimisation algorithm is specifically developed for the automated optimisation of the modified resonant compensator for the compensation of all main harmonics, 5th, 7th, 11th and 13th. The compensator is based on the sinusoidal internal model principle providing excellent improvement in control accuracy and performance for harmonic signals. The compensator is implemented in a single rotating reference frame fixed to the supply voltage vector. The automated design procedure and a novel optimisation algorithm are presented in detail. Experimental results demonstrate the effectiveness of the proposed control design and the accuracy of current tracking performance. ฉ The Institution of Engineering and Technology 2013.

Keywords