考虑风光不确定性的多园区综合能源系统市场多主体两阶段鲁棒博弈交易策略OA

[Objective]The widespread integration of renewable energy into multi-park integrated energy systems(MPIES)exacerbates supply-side fluctuations due to the intrinsic intermittency of renewable resources.These variations directly impact market operations and system stability,imposing dual challenges on market participants:managing uncertainties and ensuring equitable allocation of cooperative benefits.This paper proposes a two-stage robust Stackelberg game trading strategy for MPIES that accounts for uncertainties associated with wind and photovoltaic power.[Methods]First,a stochastic scenario generation method is adopted to construct an adjustable robust uncertainty set for wind and photovoltaic outputs based on multi-scenario weighting.Second,by leveraging strong duality theory and Karush-Kuhn-Tucker(KKT)conditions,the Stackelberg game between the operator and MPIES is reformulated as a mixed-integer linear programming(MILP)problem.Finally,a two-stage robust Stackelberg game model is established from a risk-response perspective,and the column-and-constraint generation(C&CG)algorithm is used to iteratively solve the problem to generate the final trading strategy.[Results]Case studies verify that the proposed strategy enhances the risk-response capabilities of all market entities and reduces deviations in expected returns during the game process.[Conclusions]The proposed strategy achieves the synergistic integration of the Stackelberg game and robust optimization within a two-stage framework,effectively balancing risks and benefits under uncertainties,thereby improving overall decision-making quality and economic robustness of the system.