GA-identifier and predictive controller for multi-machine power system

Author

Hussein, Wael ; Malik, O.P.

Author_Institution

Dept. of Electr. & Comput. Eng., Calgary Univ., Alta.

fYear

0

fDate

0-0 0

Abstract

The effectiveness of a genetic algorithm (GA) identifier and a predictive controller to damp multi-mode oscillations in power system is investigated in this paper. A five machine power system is used in the simulation studies and its transient response to disturbances causing multi-mode oscillations is investigated. The GA-identifier tracks the changes in the system conditions. The predictive controller uses pole-shifting numerical optimization routine to determine the optimum control signal. Behavior of the adaptive power system stabilizer (APSS) and its coordination ability with other power system stabilizers in the system are demonstrated

Keywords

adaptive control; damping; genetic algorithms; oscillations; power system control; power system faults; power system stability; predictive control; transient response; GA-identifier; adaptive power system stabilizer; damping; genetic algorithm identifier; multimachine power system; multimode oscillation; pole-shifting numerical optimization; power system disturbance; predictive controller; transient response; Adaptive systems; Control systems; Genetic algorithms; Power system analysis computing; Power system control; Power system interconnection; Power system modeling; Power system simulation; Power system transients; Power systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Power India Conference, 2006 IEEE

Conference_Location

New Delhi

Print_ISBN

0-7803-9525-5

Type

conf

DOI

10.1109/POWERI.2006.1632516

Filename

1632516