首页|运销分离下的天然气管网运输能力分配优化研究

运销分离下的天然气管网运输能力分配优化研究

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基于中国天然气管网当前采用的合同路径法,即"点对点"交易模式,提出一种适应于多气源多用户的管网基础设施容量分配优化方法,采用分布式优化策略对托运商子模型与管网公司子模型进行迭代求解,最终实现各托运商输气计划与天然气管网调度能力的匹配.结果表明:提出的分布式优化策略能够协调多方利益,托运商单位天然气成本仅与气源及用户位置分布相关,能够一定程度上保证分配结果的公平性;中国天然气管网区域间仍存在输送瓶颈,运销分离将导致管输路径及容量的激烈竞争,引发天然气管输合同拥塞问题,造成局部管道负荷率较高;在实际案例中管道基础设施容量的市场化分配导致托运商购气成本增加 6.94%,管输服务费用增加 10.18%,总体运营成本增加了 6.80%,提高了管网公司收益,但不利于降低终端用户成本.
Research on capacity allocation optimization of natural gas pipeline networks under separation of transportation and marketing
A capacity allocation optimization framework based on the contract path method,which is also called the point to point trading method,was proposed for multi-sources and multi-users gas network.The gas network model and shippers̍model were solved iteratively in a distributed way until a consensus on capacity allocation was achieved.The results show that,the proposed distributed optimization strategies can coordinate the multi-stakeholder.The shippers̍ cost of per unit nat-ural gas is related to the location of gas resources and gas users,thereby promoting fairness to some extent in allocation out-comes.There are still transmission bottlenecks among regions of China̍s natural gas market.The separation of transportation and sales will lead to fierce competition in gas transmission routes and network capacity,causing local contract congestion and high load rates.In practical cases,a market-based capacity allocation would raise the cost of gas purchase by 6.94%,the cost of network services by 10.18%and the total cost of shippers by 6.80%,which increases the revenue of pipeline net-work companies but is not conducive to reduce the cost of gas users.

natural gas marketseparation of gas transport and marketingcapacity allocationoperation optimizationpoint to point trading

赵伟、徐宁、陆凯凯、张博、廖绮、梁永图

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中国石油大学(北京)城市油气输配技术北京市重点实验室,北京 102249

国家管网集团工程技术创新有限公司,天津 300450

中国石油大学(北京)克拉玛依校区工学院,新疆克拉玛依 834000

中国石油长庆油田分公司,陕西西安 710018

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天然气市场 运销分离 容量分配 运行优化 点对点交易

中国石油大学(北京)克拉玛依校区科研启动基金项目国家自然科学基金项目

KL01JB2023000852341203

2024

中国石油大学学报(自然科学版)
中国石油大学

中国石油大学学报(自然科学版)

CSTPCD北大核心
影响因子:1.169
ISSN:1673-5005
年,卷(期):2024.48(4)
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