We develop an algorithm called M.I.D.A.S. (Italian Day-Ahead Market Solver) that simulates by iterative splitting the hourly equilibrium (price-quantity) of the Italian day-ahead market taking into account all transmission constraints between zones and the import from neighbouring countries. The algorithm is employed to study the sensitivity of equilibria to changes in production from units employing variable renewable sources, notably sun and wind, at different locations
Article published in Energies 2022, 15. Investments into wind generation may be hampered by revenues uncertainty caused by the natural variability of the resource, the...