Optimal Location of UPFC Based on PSO Algorithm Considering Active Power Loss Minimization

被引：0
|
作者：
Bhowmik, Arup Ratan [1 ]
Chakraborty, Ajoy Kumar [1 ]
Das, Priyanath [1 ]
机构：
[1] Natl Inst Technol, Agartala, India
来源：
2012 IEEE FIFTH POWER INDIA CONFERENCE | 2012年
关键词：
flexible AC transmission systems (FACTS); loss sensitivity index; activepower loss minimization; GA; PSO; UPFC;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
In this paper Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) techniques has been used for active power loss minimization through optimally placing the Unified Power Flow Controller (UPFC) in the power system network. Two obj ective functions are taken as the indexes of the system performance; identification of suitable buses using line loss sensitivity index and minimization of active power losses by employing PSO and GA techniques. For the validation and comparison purposes of the proposed techniques, simulations are carried out on modified IEEE 14-bus power system. The results obtained shows that PSO is an easy to use, robust and fast optimization technique compared to GA.
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页数：5
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