DocumentCode
3509897
Title
Particle swarm optimization for voltage stability analysis
Author
Gurusinghe, Dinesh Rangana ; Ongsakul, Weerakorn
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Manitoba, Winnipeg, MB, Canada
fYear
2012
fDate
10-12 Oct. 2012
Firstpage
315
Lastpage
322
Abstract
An efficient approach to determine the voltage collapse point greatly assists planning and operation of power system, but most of existing methods are engaged with several power flow computations and they do not provide the optimal operating condition, which is the maximum loading point of a system without exceeding the power limits of generators. This paper introduces a novel approach by particle swarm optimization, which directly determines the voltage collapse point without successive power flow computations and furnishes the optimal operating condition as well. The proposed approach has been tested with a 6-bus test system and 182-bus power system of Sri Lanka as well as it is assessed for diverse applications of voltage stability analysis by concerning about single element outage and the role of static var compensators. Further, performance of the proposed approach is evaluated with continuation power flow method and the optimality is verified by eigenvalue analysis.
Keywords
eigenvalues and eigenfunctions; load flow; particle swarm optimisation; power system stability; static VAr compensators; 182-bus power system; 6-bus test system; Sri Lanka; eigenvalue analysis; generator power limits; maximum loading point; optimal operating condition; particle swarm optimization; power flow computations; power system; single element outage; static var compensators; voltage collapse point; voltage stability analysis; Eigenvalues and eigenfunctions; Load flow; Loading; Optimization; Power system stability; Reactive power; Stability analysis; Voltage stability analysis; eigenvalue analysis; optimal operation condition; particle swarm optimization; single element outage;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Power and Energy Conference (EPEC), 2012 IEEE
Conference_Location
London, ON
Print_ISBN
978-1-4673-2081-8
Electronic_ISBN
978-1-4673-2079-5
Type
conf
DOI
10.1109/EPEC.2012.6474972
Filename
6474972
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