A Review on Unit Commitment Algorithms for the Italian Electricity Market

Maria Carmen Falvo, Stefano Panella, Mauro Caprabianca and Federico Quaglia
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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

Energies, 2021, vol. 15, issue 1, 1-14

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.

Keywords: alternating current optimal power flow (ACOPF); unit commitment (UC); optimal power flow (OPF); mixed integer nonlinear programming (MINLP); direct current optimal power flow (DCOPF); security constrained unit commitment (SCUC); ancillary service market (ASM); transmission system operator (TSO) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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