A hybrid GA approach for OPF with consideration of FACTS devices

Author

Chung, T.S. ; Li, Y.Z.

Author_Institution

Dept. of Electr. Eng., Hong Kong Polytech., Kowloon, China

Volume

20

Issue

8

fYear

2000

fDate

8/1/2000 12:00:00 AM

Firstpage

54

Lastpage

57

Abstract

This letter presents a hybrid genetic algorithm (GA) method to solve optimal power flow (OPF) in power systems incorporating flexible AC transmission systems (FACTS). In the solution process, GA is integrated with conventional OPF to select the best control parameters to minimize the total generation fuel cost and keep the power flows within the security limits. A case study using an IEEE test system is presented to demonstrate its applicability

Keywords

control system analysis computing; control system synthesis; flexible AC transmission systems; genetic algorithms; load flow control; optimal control; power system analysis computing; power transmission control; IEEE test system; case study; control design; control parameters; control simulation; flexible AC transmission systems; hybrid genetic algorithm; optimal power flow; power flows; security limits; total generation fuel cost minimisation; Control systems; Equations; Fuels; Genetic algorithms; Hybrid power systems; Load flow; Power capacitors; Power system security; Thyristors; Voltage control;

fLanguage

English

Journal_Title

Power Engineering Review, IEEE

Publisher

ieee

ISSN

0272-1724

Type

jour

DOI

10.1109/39.857456

Filename

857456