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Multi-objective optimal design and control of auto-tuned passive filter using bacterial foraging algorithm to improve power quality and to minimise power losses

Publication Type : Journal Article

Publisher : International Journal of Control Theory and Applications, Serials Publications

Source : International Journal of Control Theory and Applications, Serials Publications, Volume 8, Number 5, p.2013-2020 (2015)

Url : https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979235688&partnerID=40&md5=dbb11ba6975d6f5c0ffea66384b9e0b0

Campus : Coimbatore

School : School of Engineering

Department : Electrical and Electronics

Year : 2015

Abstract : This paper presents a multi-objective optimization algorithm based design and control of harmonic filters in a practical system. The selected system is an interconnected system consisting of nonlinear loads. The harmonics injected by the nonlinear loads are propagated through the system and lead to deteriorated power quality at the terminals of all the connected loads. The proposed methodology is selected such as to minimize total harmonic current and voltage distortion introduced into point of couplings and losses and to improve the source power factor. The optimization of the objectives is achieved with bacterial foraging algorithm. Simulation and experimental results verify the performance of the algorithm.

Cite this Research Publication : P. Krishnapriya and Dr. Sindhu M. R., “Multi-objective optimal design and control of auto-tuned passive filter using bacterial foraging algorithm to improve power quality and to minimise power losses”, International Journal of Control Theory and Applications, vol. 8, pp. 2013-2020, 2015.

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