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A Review on Unit Commitment Algorithms for the Italian Electricity Market

Author

Listed:
  • Maria Carmen Falvo

    (DIAEE—Department of Astronautics, Energy and Electrical Engineering, University of Rome Sapienza, Via Eudossiana 18, 00184 Rome, Italy)

  • Stefano Panella

    (DIAEE—Department of Astronautics, Energy and Electrical Engineering, University of Rome Sapienza, Via Eudossiana 18, 00184 Rome, Italy)

  • Mauro Caprabianca

    (TERNA, Viale Egidio Galbani 70, 00056 Rome, Italy)

  • Federico Quaglia

    (TERNA, Viale Egidio Galbani 70, 00056 Rome, Italy)

Abstract

This paper focuses on the state-of-the-art of unit commitment (UC) and economic dispatch (ED) algorithms suitable for the Italian electricity market. In view of the spread of renewable energy systems (RES), the desired UC algorithm should be able to properly consider the uncertainty affecting key input variables into the formulation of the problem, as well as the different capabilities of dispatched power plants to provide ancillary services (e.g., voltage regulation). The goal of this paper is to resume the developments in UC and ED algorithms which occurred in the last decades, having a particular focus on alternating current (AC) security constrained (SC) approaches and stochastic ones, highlighting the advantages and weakness of each technique. This review is useful for the Italian TSO (Terna) to investigate what is the best solution to formulate a new algorithm to be potentially adopted in the framework of the Italian Ancillary Service Market, striving for an explicit modelization of stochastic variables and voltage constraints. This review is also useful to all system operators (SOs), independently to the market environment in which they operate, because UC algorithms are widely adopted to ensure real-time security of power systems. In conclusion, an SC-UC algorithm which takes into account both stochastic variables and AC formulation does not exist.

Suggested Citation

  • Maria Carmen Falvo & Stefano Panella & Mauro Caprabianca & Federico Quaglia, 2021. "A Review on Unit Commitment Algorithms for the Italian Electricity Market," Energies, MDPI, vol. 15(1), pages 1-14, December.
    • Handle: RePEc:gam:jeners:v:15:y:2021:i:1:p:18-:d:707577
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    References listed on IDEAS

    as
    1. Mauro Caprabianca & Maria Carmen Falvo & Lorenzo Papi & Lucrezia Promutico & Viviana Rossetti & Federico Quaglia, 2020. "Replacement Reserve for the Italian Power System and Electricity Market," Energies, MDPI, vol. 13(11), pages 1-19, June.
    2. Nikolaos Koltsaklis & Athanasios Dagoumas, 2018. "Policy Implications of Power Exchanges on Operational Scheduling: Evaluating EUPHEMIA’s Market Products in Case of Greece," Energies, MDPI, vol. 11(10), pages 1-26, October.
    3. Graf, Christoph & Quaglia, Federico & Wolak, Frank A., 2021. "(Machine) learning from the COVID-19 lockdown about electricity market performance with a large share of renewables," Journal of Environmental Economics and Management, Elsevier, vol. 105(C).
    4. Bigerna, Simona & Bollino, Carlo Andrea & D'Errico, Maria Chiara & Polinori, Paolo, 2022. "COVID-19 lockdown and market power in the Italian electricity market," Energy Policy, Elsevier, vol. 161(C).
    5. Nikolaidis, Pavlos & Poullikkas, Andreas, 2021. "A novel cluster-based spinning reserve dynamic model for wind and PV power reinforcement," Energy, Elsevier, vol. 234(C).
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