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.

A review on unit commitment algorithms for the Italian electricity market / Falvo, Maria Carmen; Panella, Stefano; Caprabianca, Mauro; Quaglia, Federico. - In: ENERGIES. - ISSN 1996-1073. - 15:1(2021), pp. 1-14. [10.3390/en15010018]

A review on unit commitment algorithms for the Italian electricity market

Falvo, Maria Carmen
Writing – Review & Editing
;
Panella, Stefano
Writing – Original Draft Preparation
;
Quaglia, Federico
Writing – Review & Editing
2021

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.
2021
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)
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A review on unit commitment algorithms for the Italian electricity market / Falvo, Maria Carmen; Panella, Stefano; Caprabianca, Mauro; Quaglia, Federico. - In: ENERGIES. - ISSN 1996-1073. - 15:1(2021), pp. 1-14. [10.3390/en15010018]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1599254
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