Particle Swarm Optimization and Bacterial Foraging Optimization Techniques for Optimal Current Harmonic Mitigation by Employing Active Power Filter
Joint Authors
Panda, Anup Kumar
Patnaik, Sushree Sangita
Source
Applied Computational Intelligence and Soft Computing
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-01-09
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
Conventional mathematical modeling-based approaches are incompetent to solve the electrical power quality problems, as the power system network represents highly nonlinear, nonstationary, complex system that involves large number of inequality constraints.
In order to overcome the various difficulties encountered in power system such as harmonic current, unbalanced source current, reactive power burden, active power filter (APF) emerged as a potential solution.
This paper proposes the implementation of particle swarm optimization (PSO) and bacterial foraging optimization (BFO) algorithms which are intended for optimal harmonic compensation by minimizing the undesirable losses occurring inside the APF itself.
The efficiency and effectiveness of the implementation of two approaches are compared for two different conditions of supply.
The total harmonic distortion (THD) in the source current which is a measure of APF performance is reduced drastically to nearly 1% by employing BFO.
The results demonstrate that BFO outperforms the conventional and PSO-based approaches by ensuring excellent functionality of APF and quick prevail over harmonics in the source current even under unbalanced supply.
American Psychological Association (APA)
Patnaik, Sushree Sangita& Panda, Anup Kumar. 2012. Particle Swarm Optimization and Bacterial Foraging Optimization Techniques for Optimal Current Harmonic Mitigation by Employing Active Power Filter. Applied Computational Intelligence and Soft Computing،Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-506352
Modern Language Association (MLA)
Patnaik, Sushree Sangita& Panda, Anup Kumar. Particle Swarm Optimization and Bacterial Foraging Optimization Techniques for Optimal Current Harmonic Mitigation by Employing Active Power Filter. Applied Computational Intelligence and Soft Computing No. 2012 (2012), pp.1-10.
https://search.emarefa.net/detail/BIM-506352
American Medical Association (AMA)
Patnaik, Sushree Sangita& Panda, Anup Kumar. Particle Swarm Optimization and Bacterial Foraging Optimization Techniques for Optimal Current Harmonic Mitigation by Employing Active Power Filter. Applied Computational Intelligence and Soft Computing. 2012. Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-506352
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-506352