VALIDATION OF AUTOMATED INTEGRATION BETWEEN NEWAVE AND DESSEM MODELS TO SUPPORT OPERATIONAL PLANNING OF THE BRAZILIAN NATIONAL INTERCONNECTED SYSTEM

The accelerated expansion of non-controllable renewable energy sources (NCRES), particularly solar photovoltaic (including distributed mini and micro generation - DMMG) and wind power, has amplified the challenges associated with operational planning of the Brazilian National Interconnected System (SIN). The intraday variability inherent to NCRES is transferred to the SIN, which must mitigate it through the dispatch of hydroelectric and natural gas thermal power plants. These challenges become more complex at the end of the day, when photovoltaic generation drops drastically and load increases, describing the operational condition known as the duck curve. Hydroelectric generation, despite its flexibility, may be insufficient to cover this load ramp, requiring thermal complementation which, due to unit commitment constraints, may require prior start-up time, increasing operational costs and potentially resulting in renewable generation curtailment. Operational planning of the SIN uses models that represent uncertainties and operational constraints with different levels of detail: NEWAVE simulates monthly scenarios for multi-year horizons, representing hydrological uncertainties, while DESSEM models hourly operation with greater detail of operational constraints. The increasing participation of variable sources demands hourly analyses over longer horizons, which is not yet computationally feasible with a single model, requiring integration between different models. The present study aims to present a soft-link methodology, developed by the Electric Energy Research Center (CEPEL), between the NEWAVE and DESSEM models. From input data of a NEWAVE PMO case, available in the official database of the National System Operator (ONS), and some assumptions, a DESSEM case for a typical future week can be automatically derived. The DESSEM simulation can be performed using NEWAVE's future cost function, or through the definition of target volumes, based on statistical analyses of operational history. To verify the validity of the proposed soft-link, tests were conducted comparing the files generated by the soft-link with official past DESSEM data from ONS. It is expected that this comparison will present satisfactory adherence for simulations with longer time horizons. This soft-link, properly calibrated, can contribute to the operational planning of the SIN by enabling the analysis of future operation with smaller time stages (hourly and semi-hourly). This will allow the evaluation of operational scenarios with high penetration of variable renewable sources, supporting more efficient planning decisions for the SIN.