Organization
National Engineering Laboratory for Oil and Gas Pipeline Transportation Safety/Key Laboratory of Petroleum Engineering of the Ministry of Education/Beijing Key Laboratory of Urban Oil and Gas Transmission and Distribution Technology，China University of Petroleum （Beijing），Beijing 102249，China
China National Petroleum Corporation Planning Institute，Beijing 102249，China
摘要
随着天然气需求的快速增长，亟需考虑天然气管网产供储销结构。基于系统分析与决策理论，可优化天然气分客户销售方案，实现盈利能力和经济效益的最大化。以某省某公司天然气销售管网年总效益最大为目标，以气源供气量、管道输送量、客户销售量为决策变量，综合考虑节点流量平衡约束、产供储销各环节气量上下限约束、分省总销量约束等，对产业链上中下游各个环节中涉及到的气源采购成本、管输成本、储气库及LNG接收站储转成本以及客户销售收入采用阶梯计价方式，建立天然气客户销量优化数学模型，并选择GUROBI求解器作为优化计算工具对模型求解。以某省天然气管网未来10年的数据为基础进行测试，在满足客户天然气需求量的同时使效益达到最大，验证了该模型的合理性与准确性，为天然气销售业务提质增效提供了先进的分析工具和方法。
Abstract
With the rapid growth of natural gas demand, there is an urgent need to consider the production, supply, storage and marketing structure of natural gas pipeline network, optimize the natural gas sub-customer sales scheme based on system analysis and decision-making theory, and maximize the profitability and economic benefits. With the objective of maximizing the annual total benefit of the natural gas sales pipeline network of the provincial company, taking the gas supply volume from the gas source, the pipeline transmission volume, and the sales volume of the customers as the decision-making variables, and taking into account the node flow balance constraints, the upper and lower limits of the gas volume of the production, supply, storage, and marketing links, the total sales volume of the sub-province constraints, etc., we optimize the gas procurement costs, pipeline costs, storage and transfer costs of storage reservoirs and LNG receiving stations and the customer sales revenues of the gas supply network of the industry chain in the upstream, midstream, and downstream segments. The customer sales revenue adopts the step pricing method, establishes the mathematical model of natural gas customer sales volume optimization, and selects GUROBI solver as the optimization calculation tool to solve the model. The model is tested on the basis of basic data of natural gas pipeline network of a province in the next 10 years to maximize the benefits while meeting the customers' natural gas demand, which verifies the reasonableness and accuracy of the model, and provides advanced analytical tools and technical methods for improving the quality and increasing the efficiency of the natural gas sales business.
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