Open Access

Downloads

Download data is not yet available.

Abstract

This paper proposes a chaotic biogeography based optimization (CBBO) for solving optimal reactive power dispatch (ORPD) problem. Based on biogeography based optimization (BBO) theory proposed by Dan Simon in 2008, a new artificial intelligence with full models and equations have been used to achieve the best solution for objective function of ORPD such as total power loss, voltage deviation and voltage stability index while satisying various constraints of power balance, voltage limits, transformers tap changer limits and switchable capacitor bank limits. The BBO has been enhanced its search ability by adding chaotic theory. Therefore, the proposed CBBO can obtain better solutiong quality than BBO for optimization problems. The proposed method has been tested on the IEEE-30 and IEEE-118 bus systems and the obtained results have been verified with other methods. The result comparison has indicated that the CBBO can be a promise method for dealing the ORPD problem



Author's Affiliation
Article Details

Issue: Vol 18 No 3 (2015)
Page No.: 55-64
Published: Aug 30, 2015
Section: Engineering and Technology - Research article
DOI: https://doi.org/10.32508/stdj.v18i3.885

 Copyright Info

Creative Commons License

Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 How to Cite
Truong, Q., & Vo, D. (2015). Optimal reactive power dispatch by chaotic biogeography based optimization. Science and Technology Development Journal, 18(3), 55-64. https://doi.org/https://doi.org/10.32508/stdj.v18i3.885

 Cited by



Article level Metrics by Paperbuzz/Impactstory
Article level Metrics by Altmetrics

 Article Statistics
HTML = 1070 times
Download PDF   = 628 times
Total   = 628 times