Contingency-Constrained Optimal Power Flow Using Simplex-Based Chaotic-PSO Algorithm
Joint Authors
Source
Applied Computational Intelligence and Soft Computing
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-07-18
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Information Technology and Computer Science
Abstract EN
This paper proposes solving contingency-constrained optimal power flow (CC-OPF) by a simplex-based chaotic particle swarm optimization (SCPSO).
The associated objective of CC-OPF with the considered valve-point loading effects of generators is to minimize the total generation cost, to reduce transmission loss, and to improve the bus-voltage profile under normal or postcontingent states.
The proposed SCPSO method, which involves the chaotic map and the downhill simplex search, can avoid the premature convergence of PSO and escape local minima.
The effectiveness of the proposed method is demonstrated in two power systems with contingency constraints and compared with other stochastic techniques in terms of solution quality and convergence rate.
The experimental results show that the SCPSO-based CC-OPF method has suitable mutation schemes, thus showing robustness and effectiveness in solving contingency-constrained OPF problems.
American Psychological Association (APA)
Gaing, Zwe-Lee& Lin, Chia-Hung. 2011. Contingency-Constrained Optimal Power Flow Using Simplex-Based Chaotic-PSO Algorithm. Applied Computational Intelligence and Soft Computing،Vol. 2011, no. 2011, pp.1-13.
https://search.emarefa.net/detail/BIM-510138
Modern Language Association (MLA)
Gaing, Zwe-Lee& Lin, Chia-Hung. Contingency-Constrained Optimal Power Flow Using Simplex-Based Chaotic-PSO Algorithm. Applied Computational Intelligence and Soft Computing No. 2011 (2011), pp.1-13.
https://search.emarefa.net/detail/BIM-510138
American Medical Association (AMA)
Gaing, Zwe-Lee& Lin, Chia-Hung. Contingency-Constrained Optimal Power Flow Using Simplex-Based Chaotic-PSO Algorithm. Applied Computational Intelligence and Soft Computing. 2011. Vol. 2011, no. 2011, pp.1-13.
https://search.emarefa.net/detail/BIM-510138
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-510138