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Optimising Energy Management in Hybrid Microgrids

Author

Listed:
  • Javier Bilbao

    (Applied Mathematics Department, Engineering School of Bilbao, University of the Basque Country (UPV/EHU), Pl. Ing. Torres Quevedo, 1, 48013 Bilbao, Spain)

  • Eugenio Bravo

    (Applied Mathematics Department, Engineering School of Bilbao, University of the Basque Country (UPV/EHU), Pl. Ing. Torres Quevedo, 1, 48013 Bilbao, Spain)

  • Olatz García

    (Applied Mathematics Department, Engineering School of Bilbao, University of the Basque Country (UPV/EHU), Pl. Ing. Torres Quevedo, 1, 48013 Bilbao, Spain)

  • Carolina Rebollar

    (Applied Mathematics Department, Engineering School of Bilbao, University of the Basque Country (UPV/EHU), Pl. Ing. Torres Quevedo, 1, 48013 Bilbao, Spain)

  • Concepción Varela

    (Applied Mathematics Department, Engineering School of Bilbao, University of the Basque Country (UPV/EHU), Pl. Ing. Torres Quevedo, 1, 48013 Bilbao, Spain)

Abstract

This article deals with the optimization of the operation of hybrid microgrids. Both the problem of controlling the management of load sharing between the different generators and energy storage and possible solutions for the integration of the microgrid into the electricity market will be discussed. Solar and wind energy as well as hybrid storage with hydrogen, as renewable sources, will be considered, which allows management of the energy balance on different time scales. The Machine Learning method of Decision Trees, combined with ensemble methods, will also be introduced to study the optimization of microgrids. The conclusions obtained indicate that the development of suitable controllers can facilitate a competitive participation of renewable energies and the integration of microgrids in the electricity system.

Suggested Citation

  • Javier Bilbao & Eugenio Bravo & Olatz García & Carolina Rebollar & Concepción Varela, 2022. "Optimising Energy Management in Hybrid Microgrids," Mathematics, MDPI, vol. 10(2), pages 1-24, January.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:2:p:214-:d:722117
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    References listed on IDEAS

    as
    1. Kavousi-Fard, Abdollah & Khodaei, Amin, 2016. "Efficient integration of plug-in electric vehicles via reconfigurable microgrids," Energy, Elsevier, vol. 111(C), pages 653-663.
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    Cited by:

    1. Chenglong Zhu & Li He & Kanjian Zhang & Wei Sun & Zengxiang He, 2022. "Optimal Timing Fault Tolerant Control for Switched Stochastic Systems with Switched Drift Fault," Mathematics, MDPI, vol. 10(11), pages 1-16, May.
    2. Zixiao Ban & Fei Teng & Huifeng Zhang & Shuo Li & Geyang Xiao & Yajuan Guan, 2023. "Distributed Fixed-Time Energy Management for Port Microgrid Considering Transmissive Efficiency," Mathematics, MDPI, vol. 11(17), pages 1-13, August.

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