极端情景下天然气需求侧调节保供模型与情景模拟

The model oforderly regulation of natural gas supply under extreme scenarios

  • 摘要: 【目的】当前国际地缘政治冲突频发,天然气贸易脆弱性显著攀升,构建科学合理的天然气应急调控与调节保供机制对保障国家能源安全至关重要。【方法】提出了一种极端情景下天然气需求侧调节保供模型,以实现不同省份、不同行业天然气调节保供的精准分配。首先,创新性引入不可操作性投入产出模型、复杂网络理论、贝叶斯概率更新方法,从宏观经济影响、网络结构脆弱性及社会民生影响3个维度,构建了国民经济各行业重要性的综合评估指标体系。其次,以三维综合损失最小为目标,构建基于多目标优化的两阶段调节保供模型。一阶利用改进的NSGA-II算法实现全国层面行业天然气调控方案的帕累托寻优,二阶遵循“底线优先-余量均摊”的迭代分配规则将调控方案精准分解至省域。【结果】基于2023年投入产出和能源统计数据,对3种不同程度的天然气进口中断情景进行了模拟分析。结果表明:①轻度短缺下(6%),保供策略呈边际效益最大化导向,通过微调高耗能行业即可实现供需平衡;②中度短缺(26%)下,行业调控依然高度依赖高消耗、大体量的基础行业,区域性保供特征呈现分化,山东、云南等重化工型省份被迫承担更多的保供责任以保全其他省份核心技术产业;③在极度短缺下(42%),资源分配高度集中于保障民生、医疗、油气生产、医药制造等社会核心功能,区域分化特征加剧。【结论】建议推动天然气需求侧应急调节机制向“精细化、定量化、动态化”升级,探索建立跨省区天然气应急调控利益补偿机制,根据行业在国家社会经济中的重要程度实行差异化用气引导,进行双燃料适应性改造提升行业的需求弹性。研究结果可为中国天然气应急保供体系的精细化治理提供定量化决策支撑,助力实现天然气危机情景下的精准保障。

     

    Abstract: With the frequent occurrence of geopolitical conflicts, the vulnerability of the global natural gas trade has escalated significantly. A scientific emergency regulation and supply guarantee mechanism should be established to safeguard national energy security. A two-stage demand-side regulation model under extreme scenarios is proposed. The precise allocation of natural gas quotas across different provinces and sectors is achieved by this model. First, a comprehensive evaluation index system for sectoral importance is constructed. This system is established from three dimensions: macroeconomic impact, industrial chain network vulnerability, and social livelihood baseline. The Inoperability Input-Output Model (IIM), complex network theory, and Bayesian probability updating are innovatively integrated. Second, a two-stage regulation model based on multi-objective optimization is formulated. The minimization of the three-dimensional comprehensive losses is set as the joint objective. In the first stage, the Pareto optimization of national sectoral regulation schemes is realized using an improved NSGA-II algorithm. In the second stage, regulation directives are accurately decomposed into provincial quotas. An iterative allocation rule based on "baseline priority and margin equal sharing" is applied. Strict constraints on the baseline demands of all provinces and sectors are thereby ensured. Three scenarios of natural gas import disruptions with varying severity levels are simulated. These simulations are based on the 2023 input-output and energy data. The results indicate the following: (1) under a mild shortage (6%), the supply strategy is driven by marginal benefit maximization. Supply-demand balance is achieved by slightly adjusting high-energy-consuming sectors. (2) Under a moderate shortage (26%), distinct regional supply-guarantee features are exhibited. Greater regulation responsibilities are forced upon provinces like Shandong and Yunnan. This is required to preserve core technological industries in other regions. (3) Under an extreme shortage (42%), the mechanism is evolved into a baseline defense strategy. Resource allocation is highly concentrated on maintaining core social functions, such as residential living and strategic transportation. Consequently, regional disparities are intensified. It is recommended that the natural gas emergency regulation mechanism be upgraded towards refinement, quantification, and dynamization. Cross-provincial emergency regulation mechanisms should be explored. Differentiated gas utilization guidance should be implemented to enhance sectoral demand elasticity. Quantitative decision-making support is provided for the refined governance of the national natural gas emergency supply system. Precise guarantees under natural gas crisis scenarios are thereby facilitated by these findings.

     

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