陈传胜, 周军. 基于用户满意度的天然气购销决策优化[J]. 油气储运, 2022, 41(10): 1225-1234. DOI: 10.6047/j.issn.1000-8241.2022.10.014
引用本文: 陈传胜, 周军. 基于用户满意度的天然气购销决策优化[J]. 油气储运, 2022, 41(10): 1225-1234. DOI: 10.6047/j.issn.1000-8241.2022.10.014
CHEN Chuansheng, ZHOU Jun. Optimization of natural gas purchase and sales decision based on customer satisfaction[J]. Oil & Gas Storage and Transportation, 2022, 41(10): 1225-1234. DOI: 10.6047/j.issn.1000-8241.2022.10.014
Citation: CHEN Chuansheng, ZHOU Jun. Optimization of natural gas purchase and sales decision based on customer satisfaction[J]. Oil & Gas Storage and Transportation, 2022, 41(10): 1225-1234. DOI: 10.6047/j.issn.1000-8241.2022.10.014

基于用户满意度的天然气购销决策优化

Optimization of natural gas purchase and sales decision based on customer satisfaction

  • 摘要: 天然气用气高峰期经常会出现气源短供现象,不仅减少了利润,还降低了用户的用气满意度。为了加快天然气产供储销的协调发展,以天然气供应链上游供应商发生事故导致下游出现短供的情况为研究对象,考虑不同管输机制的影响,满足节点容量约束、站场平衡、用户需求约束、供销平衡等约束,建立以利润最大、缺气指数最小为目标的两个优化模型,选取CPLEX软件作为优化计算工具,对混合整数线性规划模型进行求解。以某天然气供应链为例,求解得到不同管输机制下的供气策略,验证了新建优化模型的准确性。优化后的天然气购销决策可为天然气用气高峰期合理分配供气提供预警应急方案,具有较强的指导意义。

     

    Abstract: Supply shortage often occurs during the peak period of gas consumption, which not only decreases the benefits of gas companies, but also reduces the satisfaction of customers. In order to speed up the coordinated development of gas production, supply, storage and marketing, research was performed based on the downstream gas supply shortage resulted from the upstream supplier accident in the gas supply chain, with the influence of different pipeline mechanism considered, to meet the constraints of node capacity, station balance, user demand, and the balance of supply and demand. Meanwhile, two optimization models were established for the purpose of maximizing the benefit and minimizing the shortage index of natural gas, and then CPLEX was used for optimization to obtain the solutions of the mixed integer linear programming model. The gas supply strategies under different pipeline mechanisms were obtained based on a natural gas supply chain, and the accuracy of the new optimization models was verified. The optimized gas purchase and sales decision has guiding significance, and is capable of providing pre-warning and emergency plan for the reasonable gas distribution and supply in the peak period.

     

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