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Publicação
Optimal Sizing of a Hybrid Energy System Based on Renewable Energy Using Evolutionary Optimization Algorithms
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Orientador(es)
Resumo(s)
The 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.
Descrição
Palavras-chave
Renewable energy Hybrid energy system Optimal sizing Particle swarm optimisation Genetic algorithm
Contexto Educativo
Citação
Amoura, 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 978-3-030-91884-2
Editora
Springer Nature