Title
A PSO Approach for VAR Planning Considering the Slow and Fast VAR Devices Prices
Abstract
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.
Year
DOI
Venue
2006
10.1109/ICSMC.2006.384999
Systems, Man and Cybernetics, 2006. SMC '06. IEEE International Conference
Keywords
Field
DocType
integer programming,nonlinear programming,particle swarm optimisation,power system planning,power system security,power system stability,IEEE 14 bus system,VAR devices prices,VAR planning,corrective controls,large scale mixed integer nonlinear programming problem,load shedding,particle swarm optimization method,preventive controls,system security,system stability
Particle swarm optimization,Mathematical optimization,Security level,Computer science,Control theory,Nonlinear programming,Power system security,Integer programming,Nonlinear mixed integer programming,Contingency,Load Shedding
Conference
Volume
ISSN
ISBN
3
1062-922X
1-4244-0100-3
Citations 
PageRank 
References 
1
0.44
0
Authors
4
Name
Order
Citations
PageRank
Eghbal, M.110.44
El-Araby, E.E.230.92
Ito, Y.3546.22
Zoka, Y.431.35