Digital Solutions for Grid Capacity Modelling

Iberdrola, through its PERSEO Start-up Program, is seeking digital solutions to
model new demand and generation scenarios on its grid, with self-consumption, storage and access flexibility, in order to forecast its operational behavior and, with this, plan its
investments to guarantee the capacity of this grid, assuming a reasonable demand for
electricity distribution, in a time horizon of between five and ten years.

Among others, these scenarios must take into account the evolution and geolocation of:

● Current electricity demand and generation and self-consumption
● Electricity storage (domestic, industrial, utility, bess...)
● New emerging demands (short term): electric mobility, heating and cooling, decarbonization of current industrial processes, etc.
● New medium and long-term demands: digital electrification, new consumption and generations associated with technological developments and/or emerging business models (e.g. artificial intelligence, e-fuels, green hydrogen, etc.)

In this way, solutions will be favorably rated that allow:

● Proposing automatic learning methods or algorithms to generate and validate medium/long-term scenarios for the planning of grid needs based on expected demands with different levels of granularity, foreseeing that the data from the actual network operation will, in turn, allow the information system to be supplied in order to use predictive models.
● Application of these algorithms against current simulations, based on historical data, and simulations with predictive models, including parameterization based on existing and public economic, industrial, sustainability, administrative factors and other factors.
● Analyzing the necessary additional geo-referenced capacity of the grid with different levels of granularity, as well as the best use of existing capacity with the available flexibility.
● Identifying other relevant data that is not being captured, in addition to the current state of digitalization of the grid, which includes everything from smart meters to the control of primary and secondary substations (LV transformation centers).
● Quantifying the necessary investments in the distribution grid in the different scenarios and their probability, in terms of the necessary infrastructure and their cost, introducing a cost-benefit type assessment or analysis.