Abstract
Recently Population-Based Incremental Learning (PBIL) algorithm has been applied to a range of problems in engineering with promising results. However, in most of the literature the standard PBIL with fixed learning rate has been used. It has been shown that when applied to dynamic environment as the one encountered in power systems, adaptive learning rate is more appropriate to use. in this paper, Population-Based Incremental Learning (PBIL) algorithm with adaptive learning rate is used to tune the parameters of a power system controller for damping power oscillations in a multi-machine power system. the optimization of controller's parameters has been performed over pre-specified range of system operating conditions. Robustness Evaluation of the proposed controller based on eigenvalue analysis and time domain simulation shows that the proposed controller is more robust than the conventional controller over the range of operating conditions considered. © 2010 IEEE.
Recommended Citation
K. A. Folly and G. K. Venayagamoorthy, "Performance Evaluation of a PBIL-Based Power System Damping Controller," 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010, article no. 5586045, Institute of Electrical and Electronics Engineers, Dec 2010.
The definitive version is available at https://doi.org/10.1109/CEC.2010.5586045
Department(s)
Electrical and Computer Engineering
International Standard Book Number (ISBN)
978-142446910-9
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
01 Dec 2010
