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Abstract
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Article Information:
Application of Hybrid PSOGSA to Reactive Power Optimization Problem
R. Ambika and R. Rajeswari
Corresponding Author: R. Ambika
Submitted: July 28, 2014
Accepted: September 13, 2014
Published: December 15, 2014 |
Abstract:
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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.
Key words: Gravitational Search Algorithm (GSA), loss minimization, Optimal Reactive Power Dispatch (ORPD), Particle Swarm Optimisation (PSO), voltage deviation minimization, ,
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Cite this Reference:
R. Ambika and R. Rajeswari, . Application of Hybrid PSOGSA to Reactive Power Optimization Problem. Research Journal of Applied Sciences, Engineering and Technology, (22): 2234-2239.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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