Data-Driven Evaluation of Secondary- and Tertiary-Reserve Needs with High Renewables Penetration: The Italian Case

Filippo Bovera, Giuliano Rancilio, Davide Falabretti and Marco Merlo
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Filippo Bovera: Dipartimento di Energia, Politecnico di Milano, Via Lambruschini 4, I-20133 Milan, Italy
Giuliano Rancilio: Dipartimento di Energia, Politecnico di Milano, Via Lambruschini 4, I-20133 Milan, Italy
Davide Falabretti: Dipartimento di Energia, Politecnico di Milano, Via Lambruschini 4, I-20133 Milan, Italy
Marco Merlo: Dipartimento di Energia, Politecnico di Milano, Via Lambruschini 4, I-20133 Milan, Italy

Energies, 2021, vol. 14, issue 8, 1-24

Abstract: The diffusion of nonprogrammable power plants, together with the decommissioning of conventional, rotating generators, is increasing the need for flexible resources to always ensure the safe and secure operation of the European electric-power system. Beyond technological advances, policy aspects also play a fundamental role in the opening of electricity markets to new players; in this regard, System Operations Guideline EU 2017/1485 and Italian Regulatory Authority documents require the Italian transmission-system operator (TSO; Terna) to publish all exploited algorithms and methodologies for the management of market balancing. In this context, the present paper develops and presents a data-driven methodology to estimate secondary and tertiary reserve needs; a numerical real-life case study, focused on the North Italy geographical zone, is presented. Data for 2017, 2018, and 2019 on electricity consumption and production (forecasted and actual) were gathered. Following the European TSOs Organization (ENTSO-E) and the Italian TSO (Terna) prescriptions, methodology for the calculation of reserve needs was developed. Results are presented under graphical form and refer, among others, to spinning and nonspinning reserve duration curves, forecast error contribution to reserve calculation, and samples considered for analysis. While a comparison with available market observations is not very helpful, results suggest that the developed methodology could be useful for the evaluation of reserve needs in different control areas.

Keywords: secondary regulation; tertiary regulation; spinning and nonspinning reserve; forecast errors (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
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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