In this paper

an optimal power procurement decision-making model for the receiving-end power system considering uncertainties in two-level inter-provincial and intra-provincial markets is proposed. The model aims to achieve secure and economically efficient system dispatch under market coordination

ensuring rational resource utilization and intra-provincial supply-demand balance. First

a decision-making framework is established to mitigate renewable energy output fluctuations and enhance overall supply reliability under these two-level uncertainties. Second

leveraging scenario generation for inter-provincial market participant behavior uncertainties and introducing a fluctuation coefficient

an optimal procurement model based on information gap decision theory (IGDT) is developed to handle intra-provincial wind and solar power output uncertainty. Finally

the model is empirically validated using actual transaction data from a provincial receiving-end system in East China. Results demonstrate that increased inter-provincial bidding pressure and greater intra-provincial renewable output fluctuations both elevate system power supply costs. Crucially

the proposed model effectively quantifies the impact of uncertainty factors

enhancing the robustness of power procurement decisions.