Parallel Simultaneous and Coordinated Tuning of PSSs Using Ant Colony Optimization

Autor(es)

Mazucato, Sergio C., Jr. ; Costa, Bruno L. G. ; Castoldi, Marcelo F. ; Angelico, Bruno A. ; Sanches, Danilo S. ; Ramos, Rodrigo A. ; IEEE

• Tipo de documento: Artigo Científico
• Fonte: 39TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY (IECON 2013); v. N/A, p. 6-pg., 2013-01-01.

Resumo

Power system controllers are typically designed using trial-and-error techniques, which may require large effort and time from the part of the designer to find a satisfactory solution. This work proposes an algorithm to perform a simultaneous and coordinated tuning of the controllers (PSSs) in an automatic form. To perform this tuning, the algorithm uses an optimization technique based on ant colony metaheuristic. In addition, a parallel structure for the algorithm is proposed to minimize the computation time. Results show satisfactory performance of the tuned controllers, evidencing the effectiveness of the proposed technique. Furthermore, a significant productivity gain can be achieved if the engineer in charge of this design only supervises the automatic process, instead of performing all calculations himself/herself. (AU)

• Processo FAPESP: 11/01035-7 - Análise e controle de sistemas elétricos de potência
• Beneficiário: Newton Geraldo Bretas
• Modalidade de apoio: Auxílio à Pesquisa - Temático