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

American Journal of Applied Sciences

Seyed M.H. Tabei¹  Seyed A. Taher¹ 

关键词: Deregulated Power System;    Hybrid Particle Swarm Optimization;    Optimal Location;    Optimal Power Flow;    Unified Power Flow Controller;   

DOI  :  10.3844/ajassp.2008.835.843

学科分类：自然科学（综合）

来源: Science Publications

【 摘 要 】

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.

【 授权许可】

Unknown