Abstract:Under the background of the deep peak regulation auxiliary service market, unit peak regulation costs and auxiliary service fees have a great impact on power generation companies. Based on this issue, this paper proposed an annual generation plan optimization model considering deep peak regulation auxiliary services and multiple typical days. In terms of scene acquisition, a typical scene clustering method considering the coupling of load and wind power was proposed, which effectively solves the simulation problem of multiple typical daily scenes in a month. In terms of the model, considering the deep peak regulation cost, auxiliary services compensation, benefit of electricity sales and carbon trading cost, the income constraints of generation companies participating in the auxiliary service market were established to ensure that market entities can profit from it. Considering that the model is a nonlinear mixed integer programming problem, this paper used linearization strategy and CPLEX solver to achieve an efficient solution. Finally, this paper carried out simulation analysis based on the modified example system, which verified the effectiveness of the proposed model.