DocumentCode
1783553
Title
Optimal power flow using hybrid PSOGSA algorithm
Author
Radosavljevic, Jordan ; Arsic, Nebojsa ; Jevtic, Miroljub
Author_Institution
Fac. of Tech. Sci., Univ. of Pristina in Kosovska Mitrovica, Kosovska Mitrovica, Serbia
fYear
2014
fDate
14-14 Oct. 2014
Firstpage
136
Lastpage
140
Abstract
This paper presents a new hybrid algorithm based on the particle swarm optimization (PSO) and the gravitational search algorithm (GSA) for solving the optimal power flow (OPF) in power systems. Performance of this approach for the OPF problem is studied and evaluated on the standard IEEE 30-bus test system with different objective functions. Simulation results on the OPF problem show that the hybrid PSOGSA algorithm provides effective and robust high-quality solution.
Keywords
load flow; particle swarm optimisation; power systems; IEEE 30-bus test system; OPF; gravitational search algorithm; hybrid PSOGSA algorithm; optimal power flow; particle swarm optimization; power systems; Educational institutions; Electrical engineering; Fuels; Generators; Hybrid power systems; Linear programming; Load flow; Optimal power flow; gravitational search algorithm; hybrid optimization algorithm; particle swarm optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Electrical Engineering of Riga Technical University (RTUCON), 2014 55th International Scientific Conference on
Conference_Location
Riga
Print_ISBN
978-1-4799-7460-3
Type
conf
DOI
10.1109/RTUCON.2014.6998173
Filename
6998173
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