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  4. Optimal location of multi-type FACTS devices in a power system by means of genetic algorithms
 
research article

Optimal location of multi-type FACTS devices in a power system by means of genetic algorithms

Gerbex, S.  
•
Cherkaoui, R.  
•
Germond, A. J.  
2001
IEEE Transactions on Power Systems

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

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Type
research article
DOI
10.1109/59.932292
Web of Science ID

WOS:000169592700029

Author(s)
Gerbex, S.  
Cherkaoui, R.  
Germond, A. J.  
Date Issued

2001

Published in
IEEE Transactions on Power Systems
Volume

16

Issue

3

Start page

537

End page

44

Subjects

flexible AC transmission systems

•

genetic algorithms

•

power systems

•

optimal location

•

multi-type FACTS devices

•

power system

•

genetic algorithms

•

system loadability

•

FACTS controllers

•

TCSC

•

SVC

•

118-bus power system

•

device efficiency

•

loadability

•

single-type FACTS devices

•

thyristor controlled series capacitor

•

thyristor controlled phase shifting transformer

•

thyristor controlled voltage regulator

•

static VAr compensator

Editorial or Peer reviewed

REVIEWED

Written at

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April 4, 2007
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/4477
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