Currently, we seek to minimize cost subject to constraints about volumetric or time-coincident renewable percentage. But what if we want to minimize cost, but also maximize time-coincident renewables without exceeding 100% volumetric renewables?
Perhaps one way to do this would be to run the model with a 100% volumetric constraint, and with a large penalty on excess gen - in theory, it should find a portfolio that maximizes time coincidence.
Currently, we seek to minimize cost subject to constraints about volumetric or time-coincident renewable percentage. But what if we want to minimize cost, but also maximize time-coincident renewables without exceeding 100% volumetric renewables?
Perhaps one way to do this would be to run the model with a 100% volumetric constraint, and with a large penalty on excess gen - in theory, it should find a portfolio that maximizes time coincidence.