Market simulations are essential to analyse the potential impact of the pan-European market development on the Italian system adequacy and to provide input data for subsequent detailed grid analyses. In this regard, continuous adjustment of the scenario datasets is of crucial importance. The objective of the research activity was to construct a comprehensive scenario of the pan-European power system zonal market for performing analyses with the sMTSIM model developed by RSE, utilizing publicly available information. The outcomes of the simulations have the capacity to play a crucial role in various market and network studies, particularly focusing on the Italian power system. Specifically, the import-export data generated from these simulations can contribute to subsequent research activity aimed at the construction of the nodal network of the Italian power system.
ENTSO-E public data was used as the primary information source, with a focus on the NT scenario for 2030. Three climatic years 1995, 2008, 2009 were considered consistently with ENTSO-E data. Adjustments were made for bidding zones in the southern region of Italy. Modelling of North Africa (Morocco, Algeria and Tunisia) was undertaken, transfer capacities were updated, and new connections were added based on TYNDP 2022 data.
Specific modelling techniques were developed to adapt the available data to sMTSIM modeling requirements. Various datasets were processed and converted into sMTSIM format for Load, Hydro, RES technologies, and installed capacities for thermal power plants, which are the main data for scenario construction. The thermal plant properties, net transfer capacities, commodity prices, and emission factors were also considered. The document provides insights into the differences between two ENTSO-E data sources relevant to the same scenario, namely NT 2030 of TYNDP 2022 and NT 2030 of ERAA 2022, particularly in thermal and RES capacities. Additionally, modelling of Luxembourg, Kriegers Flak, and Italy underwent specific adjustments for accurate representation in sMTSIM.
The testing of the first test case (NT 2030, climate year 1995) has been successfully completed, the undertaken activity ensures a robust modelling process, and the results contribute to enhancing the accuracy of the sMTSIM pan-European zonal model.