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OUR APPROACH

Our methodology for estimating nodal curtailment in Spain is based on a custom-built grid model and a simulation framework that closely replicates real market and system operation conditions. The key steps of our approach are as follows:
STEP 1
Grid Model with 2030 Planning
We have developed an internal electrical grid model using open-source data, which is regularly updated and aligned with Spain’s official 2030 transmission expansion plan. As planning evolves, the network model is adapted accordingly to reflect future reinforcements and structural changes.
STEP 2
Simulation Environment and Forecasts
The model has been integrated into DIgSILENT PowerFactory and complemented with forecast forward-looking scenarios of generation and demand growth, including strategic load centers such as hyperscale data centers expected to be deployed across the peninsula.
STEP 3
Automated Load Flow Engine
A proprietary Python algorithm interacts with PowerFactory to run automated simulations using realistic time-varying generation and demand profiles. This allows us to compute hourly load flows and identify potential congestion points under diverse dispatch conditions.
STEP 4
Market-Like Dispatch Simulation with N-1 Security Criteria
The tool emulates a simplified market dispatch process, mirroring the Spanish daily operation program (PDBF). It performs both base case (N) and contingency (N-1) analyses to identify network constraints and overloads, using approximated unit bids and marginalist clearing logic to simulate economic dispatch.
STEP 5
Automated Load Flow Engine
From the simulated dispatch and load flow results, the tool extracts a nodal-level approximation of curtailment. This includes both market-based curtailment—due to marginal price competitiveness—and technical curtailment arising from grid constraints and redispatch needs.