DocumentCode :
1177875
Title :
Optimal Location of Multi-Type FACTS Devices in a Power System by Means of Genetic Algorithms
Author :
Gerbex, S. ; Cherkaoui, R. ; Germond, Aj.
Author_Institution :
Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
Volume :
21
Issue :
8
fYear :
2001
Firstpage :
59
Lastpage :
60
Abstract :
This paper presents a genetic algorithm to seek the optimal location of multi-type FACTS devices in a power system. The optimizations are performed on three parameters: the location of the devices, their types, and their values. The system loadability is applied as a measure of power system performance. Four different kinds of FACTS controllers are used and modeled for steady-state studies: TCSC, TCPST, TCVR, and SVC. Simulations are done on a 118-bus power system for several numbers of devices. Results show the difference of efficiency of the devices used in this context. They also show that the simultaneous use of several kinds of controllers is the most efficient solution to increase the loadability of the system. In all the cases (single-and multi-type FACTS devices), we observe a maximum number of devices beyond which this loadability cannot be improved.
Keywords :
Genetic algorithms; Power capacitors; Power measurement; Power system measurements; Power system modeling; Power system simulation; Power systems; Static VAr compensators; Steady-state; Thyristors; FACTS devices; genetic algorithms; optimal location; system loadability;
fLanguage :
English
Journal_Title :
Power Engineering Review, IEEE
Publisher :
ieee
ISSN :
0272-1724
Type :
jour
DOI :
10.1109/MPER.2001.4311557
Filename :
4311557
Link To Document :
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