A PSO approach for VAR planning considering the slow and fast VAR devices prices

Eghbal, Mehdi, El-Araby, E. E., Ito, Yoichi, Zoka, Yoshifumi and Yorino, Naoto (2006). A PSO approach for VAR planning considering the slow and fast VAR devices prices. In: , 2006 Ieee International Conference On Systems, Man, and Cybernetics, Proceedings. IEEE International Conference on Systems, Man and Cybernetics, Taipei, Taiwan, (1849-1854). 8-11 October 2006.


Author Eghbal, Mehdi
El-Araby, E. E.
Ito, Yoichi
Zoka, Yoshifumi
Yorino, Naoto
Title of paper A PSO approach for VAR planning considering the slow and fast VAR devices prices
Conference Paper Type Fully Published Paper
Conference name IEEE International Conference on Systems, Man and Cybernetics
DOI 10.1109/ICSMC.2006.384999
Conference location Taipei, Taiwan
Conference dates 8-11 October 2006
Proceedings title 2006 Ieee International Conference On Systems, Man, and Cybernetics, Proceedings   Check publisher's open access policy
Journal name IEEE International Conference on Systems, Man, and Cybernetics. Conference Proceedings   Check publisher's open access policy
Place published Piscataway, NJ, United States
Publisher IEEE
Publication date 2006
ISBN 1424400996
ISSN 1062-922X
Start page 1849
End page 1854
Total pages 5
Language eng
Formatted Abstract/Summary This paper deals with optimal allocation of fast and slow VAR devices under different load levels. These devices are supposed to be utilized to maintain system security in normal and contingency states, where corrective and preventive controls are implemented for the contingency cases. Load shedding and fast VAR devices are used in the corrective state in order to quickly restore system stability even they are expensive, while cheap slow VAR devices can be used in the preventive state to obtain the desired security level. The main objective of this paper is to make a trade-off between economy and security by determining the optimal combination of fast and slow controls (load shedding, new slow and fast VAR devices). To meet desired security limits, huge number of constraints during the investigated transitions states, have to be considered. Therefore overall problem is formulated as a large scale mixed integer nonlinear programming problem, which cannot be solved by conventional optimization methods. Due to proved effectiveness of particle swarm optimization method (PSO) in performing difficult optimization tasks, this paper discovers the efficiency of PSO approach in solving our problem. The approach proposed has been successfully tested on IEEE 14 bus system.
Keyword OPTIMIZATION
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Conference Paper
Sub-type: Fully Published Paper
Collections: School of Mechanical & Mining Engineering Publications
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