Two-stage Robust Optimal dispatching of Multi-park Systems Considering Hydrogen-methane-mixture and Electrical Energy Interaction

As the dual-carbon strategy continues to advance, multi-park integrated energy systems have emerged. It is imperative to consider how to balance the stability, economic efficiency, and environmental sustainability of multi-parks. To this end, a two-phase robust optimal dispatching strategy for multi-park integrated energy systems is proposed, which takes power interaction and hydrogen-methane-mixture into account. A multi-park dispatching model is established, incorporating the power interaction mode and accounting for the different types of parks. Based on this, a hydrogen-methane-mixture sub-system is introduced to reduce the carbon emission and enhance economic efficiency of the park. A two-stage robust optimization approach is utilized to mitigate the impact of renewable energy output uncertainty on the multi-park scheduling results, which is iteratively solved using the Column-and-Constraint Generation (C&CG) algorithm. The example analysis indicates that the two-stage robust optimization method can effectively resist the risk brought by the fluctuation of uncertainties. Additionally, the introduction of hydrogen-methane-mixture can improve the operation economy and environmental protection.