A robust pricing strategy for community-integrated energy systems considering the uncertainties of distributed resources

Abstract Community-integrated energy systems are suitable for distributed resources to participate in improving the operational flexibility of the energy systems. A Stackelberg game-based robust pricing model is proposed to improve the economy considering multiple uncertainties from distributed resources. The uncertainties of the operation scenarios are also included in the model to further improve the robustness of systems. At last, an improved C&CG algorithm has been adopted to solve the model. The simulation results show that the proposed robust pricing model is effective in decreasing the operation cost of each entity in energy systems, and it also improves safety and stability.