Day-ahead Reserve Capacity Procurement based on Mixed-Integer Bilevel Linear Programming
Paper i proceeding, 2016
This paper models the the reserve capacity procurement problem in Denmark to account for the sequential clearing of the reserve availability market and the energy market, and the forecast error of system wind power and demand. The problem is modeled as a stochastic mixed-integer bilevel linearing programming problem. A real case of Western Denmark is studied. In the case analyzed, the EENS induced by the forecast error reduces from 312.4 MWh to 0 when 40 MW reserve capacity is procured. It is also shown that procuring more reserve capacity does not necessarily reduce the EENS.