Partition Optimization of Integrated Electricity-Hydrogen Renewable Energy System Considering Data-driven DRO Model

The uncertainties stemmed from load and renewable generation poses a great challenge for the optimization of the renewable energy system. Additionally, due to the scattered distribution of multi-energy coupling equipment in space, the centralized optimization of renewable energy system with multi-energy flow is difficult. Therefore, a division approach considering the structural and functional division indexes is proposed for the integrated electricity-hydrogen renewable energy system to achieve the regional independent autonomy and guarantee energy balance. Moreover, a data-driven DRO model based on the Wasserstein metric is developed for the partition optimization of the integrated electricity-hydrogen renewable energy system to handle the expected uncertainties stemmed from RESs and load demands in the worst-case probability distributions, while accommodating the surplus/deficit PV generation and reducing the total operational costs. Data results have demonstrated the superior performance of the proposed methodology in economic merits, generation accommodation, and computational performance.