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Research Article · Free to read · Published 31 July 2008

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

Seyed Abbas Taher & Seyed Mohammad Hadi Tabei

American Journal of Applied Sciences, Volume 5, Issue 7, pp. 835–843 · doi.org/10.3844/ajassp.2008.835.843

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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.

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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

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A Multi-Objective HPSO Algorithm Approach for Optimally Location of UPFC in Deregulated Power SystemsAmerican Journal of Applied Sciences · Volume 5, Issue 7 · pp. 835–843 · © Science PublicationsDownload