考虑燃气掺氢和电能交互的多园区两阶段鲁棒优化调度

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

  • 摘要: 随着双碳战略持续推进,多园区综合能源系统应运而生,需考虑如何兼顾多园区的稳定性、经济效益以及环保性。为此,提出考虑电能交互和燃气掺氢的多园区综合能源系统两阶段鲁棒优化调度策略。在考虑各园区类型不同的情况下,以功率交互模式建立多园区调度模型。在此基础上引入燃气掺氢子系统,改善园区的碳排放并提升经济效益。利用两阶段鲁棒优化方法处理可再生能源出力不确定性对多园区调度结果的影响,并采用列与约束生成(column-and-constraint generation,C&CG)算法迭代求解。算例分析表明两阶段鲁棒优化方法可有效抵御不确定因素波动带来的风险;燃气掺氢的引入可提升运行经济性和环保性。

     

    Abstract: 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.

     

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