 Scrutiny of multifarious particle swarm optimization for finding the optimal size of a PV/wind/battery hybrid systemAkbar Maleki, Mehran Ameri and Farshid Keynia Renewable Energy, 2015, vol. 80, issue C, 552-563 Abstract: In this paper, a network-independent pattern has been used to design a hybrid (PV/wind/Batt) system with high reliability and minimum production total costs over the life of the system. In such systems, optimum sizing is the main issue for having a cost-effective system. In this regard, studies the performance of different PSO (particle swarm optimization algorithm) variants to determine the optimum sizing of hybrid (PV/wind/Batt) system, namely, PSO, modified PSO (MPSO), PSO based on repulsion factor (PSO-RF), PSO with constriction factor (PSO-CF), and PSO with adaptive inertia weight (PSO-W). The system's components optimal size has been studied under various performance conditions using real-time information and meteorological data of one of three atypical regions located in Iran. Simulation results indicate that PSO-CF produces more promising results than the other variants, tabu search (TS), simulated annealing (SA) and harmony search (HS) algorithms in terms of mean (Mean), standard deviation (Std.), worst (Worst) and best (Best) the total annual cost (TAC). Keywords: Hybrid system; Optimum sizing; Multifarious optimization; Particle swarm optimization (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:80:y:2015:i:c:p:552-563 DOI: 10.1016/j.renene.2015.02.045 Access Statistics for this article Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides More articles in Renewable Energy from Elsevier |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.