Advanced search
Start date
Betweenand


Parallel Simultaneous and Coordinated Tuning of PSSs Using Ant Colony Optimization

Full text
Author(s):
Mazucato, Sergio C., Jr. ; Costa, Bruno L. G. ; Castoldi, Marcelo F. ; Angelico, Bruno A. ; Sanches, Danilo S. ; Ramos, Rodrigo A. ; IEEE
Total Authors: 7
Document type: Journal article
Source: 39TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY (IECON 2013); v. N/A, p. 6-pg., 2013-01-01.
Abstract

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)

FAPESP's process: 11/01035-7 - Power system control and analysis
Grantee:Newton Geraldo Bretas
Support Opportunities: Research Projects - Thematic Grants