Energetic Equilibrium: Optimizing renewable and non-renewable energy sources via particle swarm optimization

Bogdan-George Tudorică, Cristian Bucur, Mirela Panait, Simona-Vasilica Oprea and Adela Bâra

Utilities Policy, 2024, vol. 87, issue C

Abstract: This study introduces a novel approach utilizing Particle Swarm Optimization (PSO) to determine the optimal mix of renewable and non-renewable energy sources specifically tailored for Romania. Relying on data from January 2019 to August 2022, this research ascertains the most efficient combination of energy sources, considering cost, generation capacity, and environmental impact. PSO is compared with six other optimization algorithms: grey wolf optimizer, genetic algorithm, harmony search, mayfly algorithm, flower pollination algorithm, and CUKO search. The following mix is proposed: coal 0 %, oil & gas 2.74 %, hydro 18.92 %, nuclear 12.20 %, wind 24.05 %, solar 26.99 %, and biomass 15.09 %.

Keywords: Particle swarm optimization; Renewable energy; Non-renewable energy (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:juipol:v:87:y:2024:i:c:s0957178724000158

DOI: 10.1016/j.jup.2024.101722

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