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Hybrid Forecast and Control Chain for Operation of Flexibility Assets in Micro-Grids

Author

Listed:
  • Hamidreza Mirtaheri

    (Links Foundation, Via Pier Carlo Boggio 61, 10138 Turin, TO, Italy)

  • Piero Macaluso

    (Links Foundation, Via Pier Carlo Boggio 61, 10138 Turin, TO, Italy)

  • Maurizio Fantino

    (Links Foundation, Via Pier Carlo Boggio 61, 10138 Turin, TO, Italy)

  • Marily Efstratiadi

    (Elin Verd, Pigon 33, Kifissia, 14564 Athina, Greece)

  • Sotiris Tsakanikas

    (Elin Verd, Pigon 33, Kifissia, 14564 Athina, Greece)

  • Panagiotis Papadopoulos

    (Elin Verd, Pigon 33, Kifissia, 14564 Athina, Greece)

  • Andrea Mazza

    (Dipartimento Energia “Galileo Ferraris”, Politecnico di Torino, Corso Duca degli Abruzzi, 24, 10129 Torino, TO, Italy)

Abstract

Studies on forecasting and optimal exploitation of renewable resources (especially within microgrids) were already introduced in the past. However, in several research papers, the constraints regarding integration within real applications were relaxed, i.e., this kind of research provides impractical solutions, although they are very complex. In this paper, the computational components (such as photovoltaic and load forecasting, and resource scheduling and optimization) are brought together into a practical implementation, introducing an automated system through a chain of independent services aiming to allow forecasting, optimization, and control. Encountered challenges may provide a valuable indication to make ground with this design, especially in cases for which the trade-off between sophistication and available resources should be rather considered. The research work was conducted to identify the requirements for controlling a set of flexibility assets—namely, electrochemical battery storage system and electric car charging station—for a semicommercial use-case by minimizing the operational energy costs for the microgrid considering static and dynamic parameters of the assets.

Suggested Citation

  • Hamidreza Mirtaheri & Piero Macaluso & Maurizio Fantino & Marily Efstratiadi & Sotiris Tsakanikas & Panagiotis Papadopoulos & Andrea Mazza, 2021. "Hybrid Forecast and Control Chain for Operation of Flexibility Assets in Micro-Grids," Energies, MDPI, vol. 14(21), pages 1-22, November.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:21:p:7252-:d:671103
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    References listed on IDEAS

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