Power quality enhancement using DVR based on ant colony controller

Paper

Benachaiba, C., Mazari, B., Tandjaoui, M. N. and Haidar, Ahmed M. A.. 2016. "Power quality enhancement using DVR based on ant colony controller." 57th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON 2016). Riga, Latvia 13 - 14 Oct 2016 https://doi.org/10.1109/RTUCON.2016.7763114
Paper/Presentation Title

Power quality enhancement using DVR based on ant colony controller

Presentation TypePaper
AuthorsBenachaiba, C. (Author), Mazari, B. (Author), Tandjaoui, M. N. (Author) and Haidar, Ahmed M. A. (Author)
Journal or Proceedings TitleProceedings of the 57th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON 2016)
Number of Pages4
Year2016
ISBN9781509037315
Digital Object Identifier (DOI)https://doi.org/10.1109/RTUCON.2016.7763114
Web Address (URL) of Paperhttp://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7763114
Conference/Event57th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON 2016)
Event Details
57th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON 2016)
Parent
International Scientific Conference on Power and Electrical Engineering of Riga Technical University
Event Date
13 to end of 14 Oct 2016
Event Location
Riga, Latvia
Abstract

PI controller tuning is a difficult task under
varying operating conditions. Optimal tuning of PI gains is required to get the best response of PI controllers. This paper presents the Dynamic Voltage Restorer (DVR) using ant colony optimization based PI controller (ACOPI). The simulation results demonstrate that the optimized PI
controller by ant colony (ACO) presents an advantage of little response time and best control performances compared to the classical PI. The major benefit of this approach is to provide a faster DC voltage response for different voltage disturbances. The simulation results show that the
approach for finding the optimal controller parameters is not easy to be implemented, but very effective in improving power quality. The total arrangement is planned, established and validated by using MATLAB–SIMULINK environment.

Keywordsdynamic voltage restorer; sag; swell; ant colony; optimization; metaheuristics
ANZSRC Field of Research 2020400899. Electrical engineering not elsewhere classified
Public Notes

© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Byline AffiliationsUniversity of Science and Technology Oran, Algeria
University of Wollongong
Institution of OriginUniversity of Southern Queensland
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