Author :
Chung, T.S. ; Li, Y.Z.
Author_Institution :
Dept. of Electr. Eng., Hong Kong Polytech. Univ., Hung Hom, China
Abstract :
This letter presents a hybrid genetic algorithm (GA) method to solve optimal power flow (OPF) in a power system 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 :
flexible AC transmission systems; genetic algorithms; load flow control; power system control; FACTS devices; IEEE test system; control parameters; flexible AC transmission systems; hybrid genetic algorithm method; optimal power flow; power flow control; total generation fuel cost minimisation; Control systems; Equations; Flexible AC transmission systems; Hybrid power systems; Load flow; Phase shifters; Power capacitors; Power system security; Thyristors; Voltage control;
Journal_Title :
Power Engineering Review, IEEE