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Impact of PV/Wind Forecast Accuracy and National Transmission Grid Reinforcement on the Italian Electric System

Author

Listed:
  • Marco Pierro

    (Institute for Renewable Energy, EURAC Research, Viale Druso, 1, 39100 Bolzano, Italy)

  • Fabio Romano Liolli

    (Department of Enterprise Engineering, University of Rome Tor Vergata, 00133 Rome, Italy)

  • Damiano Gentili

    (Department of Enterprise Engineering, University of Rome Tor Vergata, 00133 Rome, Italy)

  • Marcello Petitta

    (Department of Enterprise Engineering, University of Rome Tor Vergata, 00133 Rome, Italy)

  • Richard Perez

    (Atmospheric Sciences Research Center, State University of New York, Albany, NY 12246, USA)

  • David Moser

    (Institute for Renewable Energy, EURAC Research, Viale Druso, 1, 39100 Bolzano, Italy)

  • Cristina Cornaro

    (Department of Enterprise Engineering, University of Rome Tor Vergata, 00133 Rome, Italy
    Center for Hybrid and Organic Solar Energy-CHOSE, University of Rome Tor Vergata, 00133 Rome, Italy)

Abstract

The high share of PV energy requires greater system flexibility to address the increased demand/supply imbalance induced by the inherent intermittency and variability of the solar resource. In this work, we have developed a methodology to evaluate the margins for imbalance reduction and flexibility that can be achieved by advanced solar/wind forecasting and by strengthening the national transmission grid connecting the Italian market areas. To this end, for the forecasting of the day-ahead supply that should be provided by dispatchable generators, we developed three advanced load/PV/wind forecasting methodologies based on a chain or on the optimal mix of different forecasting techniques. We showed that, compared to the baseline forecast, there is a large margin for the imbalance/flexibility reduction: 60.3% for the imbalance and 47.5% for the flexibility requirement. In contrast, the TSO forecast leaves only a small margin to reduce the imbalance of the system through more accurate forecasts, while a larger reduction can be achieved by removing the grid constrains between market zones. Furthermore, we have applied the new forecasting methodologies to estimate the amount of imbalance volumes/costs/flexibility/overgenerations that could be achieved in the future according to the Italian RES generation targets, highlighting some critical issues related to high variable renewable energy share.

Suggested Citation

  • Marco Pierro & Fabio Romano Liolli & Damiano Gentili & Marcello Petitta & Richard Perez & David Moser & Cristina Cornaro, 2022. "Impact of PV/Wind Forecast Accuracy and National Transmission Grid Reinforcement on the Italian Electric System," Energies, MDPI, vol. 15(23), pages 1-28, November.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:23:p:9086-:d:989368
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    References listed on IDEAS

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