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     Research Journal of Applied Sciences, Engineering and Technology


Application of Hybrid PSOGSA to Reactive Power Optimization Problem

1R. Ambika and 2R. Rajeswari
1Department of EEE, Sri Krishna College of Technology
2Department of EEE, Government College of Technology, Coimbatore, India
Research Journal of Applied Sciences, Engineering and Technology  2014  22:2234-2239
http://dx.doi.org/10.19026/rjaset.8.1223  |  © The Author(s) 2014
Received: July ‎28, ‎2014  |  Accepted: September ‎13, ‎2014  |  Published: December 15, 2014

Abstract

With the increasing power demand, voltage fluctuations are to be controlled for a reliable and stable power system. On the same way voltage fluctuations create reactive power mismatch in the system. To overcome these conditions we have to perform reactive power optimisation that would balance the reactive power flow of the system. There are several methods and algorithms that serve best for this problem. Among which minimising the real power losses and voltage deviation yields balanced reactive power and for this purpose the most efficient soft computing techniques are used. This study deals with a new approach of hybridisation of two algorithms Particle Swarm Optimisation (PSO) and Gravitational Search Algorithm (GSA). The results are produced on standard IEEE30 bus system for the ORPD problem and prove the best from other algorithms.

Keywords:

Gravitational Search Algorithm (GSA), loss minimization, Optimal Reactive Power Dispatch (ORPD), Particle Swarm Optimisation (PSO), voltage deviation minimization,


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Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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