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
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;
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
DOI :
10.1109/RTUCON.2014.6998173
