Amoura, YahiaFerreira, Ângela P.Lima, JoséPereira, Ana I.2022-04-052022-04-052021Amoura, Yahia; Ferreira, Ângela P.; Lima, José; Pereira, Ana I. (2021). Optimal sizing of a hybrid energy system based on renewable energy using evolutionary optimization algorithms. In Pereira, Ana I.; Fernandes, Florbela P.; Coelho, João Paulo; Teixeira, João Paulo; Pacheco, Maria F.; Alves, Paulo; Lopes, Rui Pedro (Eds.) Optimization, learning algorithms and applications: first International Conference, OL2A 2021. Cham: Springer Nature. p. 153-168. ISBN 978-3-030-91884-2978-3-030-91884-2http://hdl.handle.net/10198/25336The current trend in energy sustainability and the energy growing demand have given emergence to distributed hybrid energy systems based on renewable energy sources. This study proposes a strategy for the optimal sizing of an autonomous hybrid energy system integrating a photovoltaic park, a wind energy conversion, a diesel group, and a storage system. The problem is formulated as a uni-objective function subjected to economical and technical constraints, combined with evolutionary approaches mainly particle swarm optimization algorithm and genetic algorithm to determine the number of installation elements for a reduced system cost. The computational results have revealed an optimal configuration for the hybrid energy system.engRenewable energyHybrid energy systemOptimal sizingParticle swarm optimisationGenetic algorithmconference paper10.1007/978-3-030-91885-9_12