Abstract
This paper validates the effectiveness of an enhanced particle swarm optimizer (Enhanced-PSO) method in solving the problem of optimal allocation of FACTS devices in a power system. the performance of the Enhanced-PSO method is compared with classical optimization approaches using a simple but realistic case study of optimal allocation of STATCOM devices, considering steady state and economic criteria. This paper also discusses the concepts and details about the optimization process that tend to be overlooked in the literature since the selection of an optimization algorithm highly depends on them. © 2009 IEEE.
Recommended Citation
Y. Del Valle et al., "Comparison of Enhanced-PSO and Classical Optimization Methods: A Case Study for STATCOM Placement," 2009 15th International Conference on Intelligent System Applications to Power Systems, ISAP '09, article no. 5352884, Institute of Electrical and Electronics Engineers, Dec 2009.
The definitive version is available at https://doi.org/10.1109/ISAP.2009.5352884
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Benders' decomposition; Branch and bound; Classical optimization; Evolutionary computation techniques; Facts devices; Particle swarm optimization
International Standard Book Number (ISBN)
978-142445098-5
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
09 Dec 2009
