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Battery Sizing Optimization in Power Smoothing Applications

Author

Listed:
  • 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)

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.

Suggested Citation

  • Asier Zulueta & Decebal Aitor Ispas-Gil & Ekaitz Zulueta & Joseba Garcia-Ortega & Unai Fernandez-Gamiz, 2022. "Battery Sizing Optimization in Power Smoothing Applications," Energies, MDPI, vol. 15(3), pages 1-20, January.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:3:p:729-:d:728600
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    References listed on IDEAS

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