Title :
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
fDate :
8/1/2000 12:00:00 AM
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;
Journal_Title :
Power Engineering Review, IEEE
