Battery Sizing Optimization in Power Smoothing Applications

Asier Zulueta, Decebal Aitor Ispas-Gil, Ekaitz Zulueta, Joseba Garcia-Ortega and Unai Fernandez-Gamiz
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Asier Zulueta: Department of Nuclear and Fluid Mechanics, University of the Basque Country (UPV/EHU) Nieves Cano, 12, 01006 Vitoria-Gasteiz, Spain
Decebal Aitor Ispas-Gil: System Engineering & Automation Control Department, University of the Basque Country (UPV/EHU) Nieves Cano, 12, 01006 Vitoria-Gasteiz, Spain
Ekaitz Zulueta: System Engineering & Automation Control Department, University of the Basque Country (UPV/EHU) Nieves Cano, 12, 01006 Vitoria-Gasteiz, Spain
Joseba Garcia-Ortega: System Engineering & Automation Control Department, University of the Basque Country (UPV/EHU) Nieves Cano, 12, 01006 Vitoria-Gasteiz, Spain
Unai Fernandez-Gamiz: Department of Nuclear and Fluid Mechanics, University of the Basque Country (UPV/EHU) Nieves Cano, 12, 01006 Vitoria-Gasteiz, Spain

Energies, 2022, vol. 15, issue 3, 1-20

Abstract: The main objective of this work was to determine the worth of installing an electrical battery in order to reduce peak power consumption. The importance of this question resides in the expensive terms of energy bills when using the maximum power level. If maximum power consumption decreases, it affects not only the revenues of maximum power level bills, but also results in important reductions at the source of the power. This way, the power of the transformer decreases, and other electrical elements can be removed from electrical installations. The authors studied the Spanish electrical system, and a particle swarm optimization (PSO) algorithm was used to model battery sizing in peak power smoothing applications for an electrical consumption point. This study proves that, despite not being entirely profitable at present due to current kWh prices, implanting a battery will definitely be an option to consider in the future when these prices come down.

Keywords: swarm optimization; battery sizing; power smoothing; battery management system (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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