A hybrid genetic algorithm for optimal power flow incorporating FACTS devices

被引：4
|
作者：
Vijayakumar, K. [1 ]
Kumudinidevi, R. P. [1 ]
Suchithra, D.
机构：
[1] Anna Univ, Coll Engn, Sch Elect & Elect Engn, Madras 600025, Tamil Nadu, India
来源：
ICCIMA 2007: INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND MULTIMEDIA APPLICATIONS, VOL I, PROCEEDINGS | 2007年
关键词：
D O I：
10.1109/ICCIMA.2007.355
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents an alternate algorithm to solve the optimal power flow, (OPF) problem incorporating FACTS Devices in a multi machine power system using Genetic Algorithm (GA). Using the proposed method, the location of FACTS devices, their type and rated values are optimized simultaneously. Among the various FACTS devices, TCSC and UPFC are considered. The proposed algorithm is an effective method for finding the optimal choice and allocation of FACTS devices and also in minimizing the overall system cost, which comprises of generation cost and investment cost of FACTS devices.
引用
收藏
页码：463 / +
页数：2
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