Design, simulation, sizing and optimization of hybrid renewable energy systems PVWindBattery using PSO algorithm

dc.contributor.author	Bensalmi, Walid
dc.contributor.author	Belhani, Ahmed
dc.date.accessioned	2025-04-21T17:26:57Z
dc.date.available	2025-04-21T17:26:57Z
dc.date.issued	2021
dc.description.abstract	In this paper, an optimization model is presented to determine the best size of a hybrid energy system (HES), which consists of photovoltaic (PV), wind turbine (WT) and battery. For distant regions and also the smart cities, this system enables a clean and stable power source. In this context, this study explores the application of a simple and efficient Particle Swarm Optimization (PSO) algorithm. This algorithm aims to determine the optimal configure of system components to minimize cost and meet load demand. For this objective, all the components are modeled (PV, WT and battery) and the levelized cost of energy is defined as an objective function. The concept of loss of power supply probability (LPSP) should be considered in hybrid energy systems in order to have a reliable system. The research presented in this paper was conducted in Constantine, Algeria and may be applied to any similar regions, throughout the world.
dc.identifier.uri	http://dspace.univ-oeb.dz:4000/handle/123456789/21960
dc.language.iso	en
dc.publisher	University of Oum El Bouaghi
dc.subject	hybrid energy system (HES); photovoltaic (PV); wind turbine (WT); Particle Swarm Optimization (PSO)
dc.title	Design, simulation, sizing and optimization of hybrid renewable energy systems PVWindBattery using PSO algorithm
dc.type	Article

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