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

Author

Gerbex, Stéphane ; Cherkaoui, Rachid ; Germond, Alain J.

Author_Institution

Lab. de Reseaux d´´Energie Electr., Ecole Polytech. Federale de Lausanne, Switzerland

Volume

16

Issue

3

fYear

2001

fDate

8/1/2001 12:00:00 AM

Firstpage

537

Lastpage

544

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

flexible AC transmission systems; genetic algorithms; power systems; 118-bus power system; FACTS controllers; SVC; TCSC; device efficiency; genetic algorithms; loadability; multi-type FACTS devices; optimal location; power system; single-type FACTS devices; static VAr compensator; system loadability; thyristor controlled phase shifting transformer; thyristor controlled series capacitor; thyristor controlled voltage regulator; Genetic algorithms; Power capacitors; Power measurement; Power system measurements; Power system modeling; Power system simulation; Power systems; Static VAr compensators; Steady-state; Thyristors;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.932292

Filename

932292