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

fYear

2009

fDate

6-9 May 2009

Firstpage

36

Lastpage

39

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ECTICON.2009.5136960

Filename

5136960