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Energy Management Strategy for Micro-Grids with PV-Battery Systems and Electric Vehicles

Author

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  • Jose Luis Torres-Moreno

    (Automatic Control, Robotics and Mechatronics Research Group, Solar Energy Research Center Joint UAL-PSA CIEMAT (CIESOL), University of Almeria, 04120 Almeria, Spain)

  • Antonio Gimenez-Fernandez

    (Automatic Control, Robotics and Mechatronics Research Group, Solar Energy Research Center Joint UAL-PSA CIEMAT (CIESOL), University of Almeria, 04120 Almeria, Spain)

  • Manuel Perez-Garcia

    (Automatic Control, Robotics and Mechatronics Research Group, Solar Energy Research Center Joint UAL-PSA CIEMAT (CIESOL), University of Almeria, 04120 Almeria, Spain)

  • Francisco Rodriguez

    (Automatic Control, Robotics and Mechatronics Research Group, Solar Energy Research Center Joint UAL-PSA CIEMAT (CIESOL), University of Almeria, 04120 Almeria, Spain)

Abstract

This paper analyzes the impact of photovoltaic (PV) systems on storage and electric vehicles in micro-grids. As these kinds of systems are becoming increasingly popular in the residential sector, the development of a new generation of equipment, such as more efficient batteries or solar panels, makes further study necessary. These systems are especially interesting in commercial or office buildings, since they have a more repetitive daily pattern of electricity consumption, which usually occurs within the maximum solar radiation hours. Based on this need, a novel control strategy aimed at efficiently managing this kind of micro-grid is proposed. The core of this strategy is a rule-based controller managing the power flows between the grid and the batteries of both the PV system and the electric vehicle. Through experimental data and simulations, this strategy was tested under different scenarios. The selected testbed consisted of the laboratory of a research center, which could be easily scalable to the entire building. Results showed the benefits of using an electric vehicle as an active agent in energy balance, leading to a reduction of the energetic costs of a micro-grid.

Suggested Citation

  • Jose Luis Torres-Moreno & Antonio Gimenez-Fernandez & Manuel Perez-Garcia & Francisco Rodriguez, 2018. "Energy Management Strategy for Micro-Grids with PV-Battery Systems and Electric Vehicles," Energies, MDPI, vol. 11(3), pages 1-13, February.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:3:p:522-:d:133941
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    References listed on IDEAS

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    1. Solano, J.C. & Olivieri, L. & Caamaño-Martín, E., 2017. "Assessing the potential of PV hybrid systems to cover HVAC loads in a grid-connected residential building through intelligent control," Applied Energy, Elsevier, vol. 206(C), pages 249-266.
    2. van der Kam, Mart & van Sark, Wilfried, 2015. "Smart charging of electric vehicles with photovoltaic power and vehicle-to-grid technology in a microgrid; a case study," Applied Energy, Elsevier, vol. 152(C), pages 20-30.
    3. Colmenar-Santos, A. & de Palacio-Rodriguez, Carlos & Rosales-Asensio, Enrique & Borge-Diez, David, 2017. "Estimating the benefits of vehicle-to-home in islands: The case of the Canary Islands," Energy, Elsevier, vol. 134(C), pages 311-322.
    4. Hoppmann, Joern & Volland, Jonas & Schmidt, Tobias S. & Hoffmann, Volker H., 2014. "The economic viability of battery storage for residential solar photovoltaic systems – A review and a simulation model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 1101-1118.
    5. Rosiek, Sabina & Batlles, Francisco Javier, 2013. "Renewable energy solutions for building cooling, heating and power system installed in an institutional building: Case study in southern Spain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 147-168.
    6. Riesen, Yannick & Ballif, Christophe & Wyrsch, Nicolas, 2017. "Control algorithm for a residential photovoltaic system with storage," Applied Energy, Elsevier, vol. 202(C), pages 78-87.
    7. Lorenzi, Guido & Silva, Carlos Augusto Santos, 2016. "Comparing demand response and battery storage to optimize self-consumption in PV systems," Applied Energy, Elsevier, vol. 180(C), pages 524-535.
    8. Hamid R. Khosravani & María Del Mar Castilla & Manuel Berenguel & Antonio E. Ruano & Pedro M. Ferreira, 2016. "A Comparison of Energy Consumption Prediction Models Based on Neural Networks of a Bioclimatic Building," Energies, MDPI, vol. 9(1), pages 1-24, January.
    9. Luthander, Rasmus & Widén, Joakim & Nilsson, Daniel & Palm, Jenny, 2015. "Photovoltaic self-consumption in buildings: A review," Applied Energy, Elsevier, vol. 142(C), pages 80-94.
    10. Quoilin, Sylvain & Kavvadias, Konstantinos & Mercier, Arnaud & Pappone, Irene & Zucker, Andreas, 2016. "Quantifying self-consumption linked to solar home battery systems: Statistical analysis and economic assessment," Applied Energy, Elsevier, vol. 182(C), pages 58-67.
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    9. Álex Omar Topa Gavilema & José Domingo Álvarez & José Luis Torres Moreno & Manuel Pérez García, 2021. "Towards Optimal Management in Microgrids: An Overview," Energies, MDPI, vol. 14(16), pages 1-25, August.
    10. Feng, Wenxiu & Ruiz Mora, Carlos, 2023. "Risk Management of Energy Communities with Hydrogen Production and Storage Technologies," DES - Working Papers. Statistics and Econometrics. WS 36274, Universidad Carlos III de Madrid. Departamento de Estadística.
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