A flexible urban energy system dispatch model with uncertain renewable energy

A reasonable energy dispatch strategy is significant for urban energy systems with flexible power-to-gas devices to reduce carbon emissions, increase renewable energy consumption, and balance the interests between users and the grid operator. Therefore, we construct a Stackelberg game-based model for the urban energy system. Firstly, we model the flexible power-to-gas devices, carbon capture and storage device and integrated demand response in the urban energy system. Secondly, we propose a Transformer prediction model to supplement the chance constraints to solve the renewable energy uncertainty. Finally, we formulate a leader-follower Stackelberg game to mixed-integer nonlinear programming solved by CPLEX.