Title :
Design of an immune-genetic algorithm-based optimal state feedback controller as UPFC
Author :
Jalilvand, Abolfazl ; Safari, Amin
Author_Institution :
Dept. of Electr. Eng., Zanjan Univ., Zanjan, Iran
Abstract :
An optimal design of state feedback controller as an UPFC using immune genetic algorithm (IGA) is presented. The potential of the UPFC supplementary state feedback controllers to enhance the dynamic stability is evaluated. The selection of the state feedback gains for the UPFC controllers is converted to an optimization problem with the time domain-based objective function which is solved by an IGA. The effectiveness of the new controller is demonstrated through time-domain simulation studies. The results of these studies show that the designed controller has an excellent capability in damping power system oscillations.
Keywords :
genetic algorithms; load flow control; optimal control; oscillations; power system dynamic stability; state feedback; UPFC; dynamic stability; immune-genetic algorithm; objective function; optimal state feedback controller; power system oscillation damping; time-domain simulation; Algorithm design and analysis; Control systems; Damping; Load flow; Optimal control; Power system interconnection; Power system modeling; Power system simulation; Power system stability; State feedback;
Conference_Titel :
Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, 2009. ECTI-CON 2009. 6th International Conference on
Conference_Location :
Pattaya, Chonburi
Print_ISBN :
978-1-4244-3387-2
Electronic_ISBN :
978-1-4244-3388-9
DOI :
10.1109/ECTICON.2009.5136960
