Abstract:In order to improve the adaptability of monthly unit commitment to the uncertainty of new energy, a monthly unit commitment method considering multi-scenario new energy forecast is proposed to improve the new energy consumption capacity of power grid. Firstly, the basic concept of multi-scenario new energy forecast is introduced and the representation model of multi-scenario new energy is proposed. Then a monthly unit commitment model considering multi-scenario new energy forecast is proposed, which is aimed at the minimization of the expected operation cost and the new energy loss and takes electricity balance, power network security, power plant contract and other operation constraints into account. As a mixed integer nonlinear programming problem, this model can be solved by the CPLEX programming package. A case study based on the IEEE-30 buses system shows that this method can fully consider the impact of uncertain new energy on power grid operation and improve the robustness of monthly unit commitment to the consumption of uncertain new energy. By adjusting the proportional coefficient between the operation cost and the new energy loss, the economy and energy-saving of power system operation could be coordinated by optimizing the unit commitment mode to improve the overall efficiency of power grid operation.