Title :
Tuning of generator excitation systems using meta-heuristics
Author :
Viveros, E.R.C. ; Taranto, G.N. ; Falcão, D.M.
Author_Institution :
Fed. Univ. of Rio de Janeiro
Abstract :
This paper describes an approach for coordinated tuning of AVRs and PSSs based on meta-heuristics. Two methods, based on small variations of the standard genetic algorithms, are described. The basic difference between the methods is in the way they evaluate the fitness function of the multiobjective problem. Results obtained in the traditional New England power system indicated that the methodology is able to find solutions satisfying the design criteria
Keywords :
genetic algorithms; power system stability; tuning; voltage control; AVR; PSS; coordinated tuning; fitness function; generator excitation systems; meta-heuristics; multiobjective problem; standard genetic algorithms; traditional New England power system; Control systems; Damping; Genetic algorithms; Mathematical model; Power system control; Power system modeling; Power systems; Regulators; Synchronous generators; Voltage control; Coordinated control; Multi-Objective Genetic Algorithms; Power system controllers;
Conference_Titel :
Power Engineering Society General Meeting, 2006. IEEE
Conference_Location :
Montreal, Que.
Print_ISBN :
1-4244-0493-2
DOI :
10.1109/PES.2006.1709524
