Carbon and Energy Synergistic Optimization of Park Integrated Energy System Considering Wind and Solar Uncertainty

In order to cope with the problem of imbalance between electricity supply and demand due to the stochastic character of wind and solar power generation during the operation of the park integrated energy system, this paper proposes a two-layer optimization strategy for the park integrated energy system considering the uncertainty of wind and solar as well as the integrated demand response. The upper-layer model takes the maximum annual operating revenue of the integrated energy system operator as the objective, considering the uncertainty of wind and solar power generation, and establishes the electricity-hydrogen-carbon cooperative scheduling model. The lower-layer model takes the lowest annual consumption cost of the load aggregator as the optimization objective considering the comprehensive demand response of the users; next, the robust optimization theory is introduced to describe the uncertainty, to analyze the influence of the time lapse on the prediction accuracy. Finally, a case study based on PIES in a region in northern China is conducted to demonstrate the feasibility and effectiveness of the proposed methodology.