Title :
Power system stabilizers tuning using bio-inspired algorithm
Author :
Peres, Wesley ; Oliveira, Edimar J. ; Filho, Joao A. Passos ; Arcanjo, Diego N. ; Silva, Ivo C. ; Oliveira, Leonardo W.
Author_Institution :
Dept. of Electr. Eng., Fed. Univ. of Juiz de Fora-UFJF, Juiz de Fora, Brazil
Abstract :
This paper presents a methodology for coordinated tuning of power system stabilizers taking into account a set of pre-specified operating conditions. The tuning procedure is formulated as an optimization problem which aims to maximize the system damping ratio. The proposed methodology is based on the bio-inspired Modified Cuckoo Search method. The methodology is applied for coordinated stabilizer tuning to New England test system. The results obtained are compared with a genetic algorithm approach.
Keywords :
genetic algorithms; power system stability; New England test system; bio-inspired algorithm; genetic algorithm; modified cuckoo search method; power system stabilizers tuning; Control systems; Damping; Genetic algorithms; Mathematical model; Optimization; Power system stability; Tuning; coordinated control; cuckoo search optimization; genetic algorithms; power system stability; power system stabilizer;
Conference_Titel :
PowerTech (POWERTECH), 2013 IEEE Grenoble
Conference_Location :
Grenoble
DOI :
10.1109/PTC.2013.6652355
