Research on capacity allocation optimization of natural gas pipeline networks under separation of transportation and marketing

被引:0
作者
Zhao, Wei [1 ,2 ]
Xu, Ning [1 ,3 ]
Lu, Kaikai [1 ,4 ]
Zhang, Bo [1 ]
Liao, Qi [1 ]
Liang, Yongtu [1 ]
机构
[1] Beijing Key Laboratory of Urban Oil and Gas Distribution Technology, China University of Petroleum(Beijing), Beijing
[2] PipeChina Engineering Technology Innovation Co., Ltd., Tianjin
[3] China University of Petroleum(Beijing) at Karamay, Karamay
[4] PetroChina Changqing Oilfield Company, Xi'an
来源
Zhongguo Shiyou Daxue Xuebao (Ziran Kexue Ban)/Journal of China University of Petroleum (Edition of Natural Science) | 2024年 / 48卷 / 04期
关键词
capacity allocation; natural gas market; operation optimization; point to point trading; separation of gas transport and marketing;
D O I
10.3969/j.issn.1673-5005.2024.04.020
中图分类号
学科分类号
摘要
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 shippers̍ model 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 natural gas is related to the location of gas resources and gas users, thereby promoting fairness to some extent in allocation outcomes. 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 network companies but is not conducive to reduce the cost of gas users. © 2024 University of Petroleum, China. All rights reserved.
引用
收藏
页码:181 / 189
页数:8
相关论文
共 19 条
[1]  
CHEN Rui, SUN Wenyu, WU Minjie, Influence of the establishment of the National Oil & Gas Pipeline Network Corporation on the competition pattern of natural gas market in China, Natural Gas Industry, 40, 3, pp. 137-145, (2020)
[2]  
ZHANG Bo, LIANG Yongtu, LI Wei, Et al., Optimization of natural gas resource allocation based on multidimensional value of customers [ J], Oil & Gas Storage and Transportation, 42, 1, pp. 96-104, (2023)
[3]  
LUO Zhiwei, ZUO Gang, LI Bo, Dispatching operation mode of natural gas shippers under the system of transportation and marketing separation, Natural Gas Industry, 42, 3, pp. 120-128, (2022)
[4]  
GUO Haitao, ZHOU Shuhui, ZHAO Zhongde, Et al., Conform to the trend of reform and promote fairness and openness: an interpretation of a new version measures for the non-discriminatory third-party access regulation of oil and gas pipeline network facilities, Natural Gas Industry, 39, 6, pp. 137-146, (2019)
[5]  
YE Heng, GAO Zhenyu, ZHANG Yi, Et al., Advance in application of complex network theory and implications for natural gas pipeline networks, Oil & Gas Storage and Transportation, 41, 5, pp. 515-524, (2022)
[6]  
SONG Chenhui, XIAO Jun, CHEN Qian, Et al., Gas transmission capability curve of natural gas pipeline system, Journal of China University of Petroleum(Edition of Natural Science), 46, 2, pp. 160-167, (2022)
[7]  
FAN Lin, SU Huai, PENG Shiliang, Et al., Supply-reliability based method of intellectual optimization on preventive maintenance strategy for natural gas pipeline system, Journal of China University of Petroleum(Edition of Natural Science), 47, 1, pp. 134-140, (2023)
[8]  
BU Yaran, WU Changchun, ZUO Lili, Et al., Evaluation on gas transmission capacity of gas pipeline network in the open access mode, Natural Gas Industry, 41, 12, pp. 129-137, (2021)
[9]  
GOTZES C, HEITSCH H, HENRION R, Et al., On the quantification of nomination feasibility in stationary gas networks with random load [J], Mathematical Methods of Operations Research, 84, 2, pp. 427-457, (2016)
[10]  
PFETSCH M E, FuGENSCHUH A, GEIssLER B, Et al., Validation of nominations in gas network optimization: models, methods, and solutions [ J ], Optimization Methods and Software, 30, 1, pp. 15-53, (2014)