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ISSN: 1546-9239 (Print)
ISSN: 1554-3641 (Online)
Research Article Open Access

A Multi-Objective HPSO Algorithm Approach for Optimally Location of UPFC in Deregulated Power Systems

Seyed Abbas Taher and Seyed Mohammad Hadi Tabei

Abstract

This paper presents the application of hybrid particle swarm optimization technique to find optimal location of unified power flow controller to achieve optimal power flow. Objective function in the OPF, that is to be minimized, are the overall cost functions, which include the total active and reactive production cost function of the generators and installation cost of UPFCs. The OPF constraints are generators, transmission lines and UPFCs limits. We propose HPSO algorithm to consider the objective function and all equality and inequality constraints. Simulations are performed on 4 bus test system and modified IEEE 14 bus system for optimal location of UPFC and the results obtained are encouraging and will be useful in electrical restructuring.

American Journal of Applied Sciences
Volume 5 No. 7, 2008, 835-843

DOI: https://doi.org/10.3844/ajassp.2008.835.843

Submitted On: 14 November 2007 Published On: 31 July 2008

How to Cite: Taher, S. A. & Tabei, S. M. H. (2008). A Multi-Objective HPSO Algorithm Approach for Optimally Location of UPFC in Deregulated Power Systems. American Journal of Applied Sciences, 5(7), 835-843. https://doi.org/10.3844/ajassp.2008.835.843

Open AccessCopyright: © 2008 Seyed Abbas Taher and Seyed Mohammad Hadi Tabei. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Keywords

  • Deregulated Power System
  • Hybrid Particle Swarm Optimization
  • Optimal Location
  • Optimal Power Flow
  • Unified Power Flow Controller