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[1]叶恒,高振宇,张轶,等.复杂网络理论的应用进展及对天然气管网的启示[J].油气储运,2022,41(05):515-524.[doi:10.6047/j.issn.1000-8241.2022.05.003]
YE Heng,GAO Zhenyu,ZHANG Yi,et al.Advance in application of complex network theory and implications for natural gas pipeline networks[J].Oil & Gas Storage and Transportation,2022,41(05):515-524.[doi:10.6047/j.issn.1000-8241.2022.05.003]
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YE Heng,GAO Zhenyu,ZHANG Yi,et al.Advance in application of complex network theory and implications for natural gas pipeline networks[J].Oil & Gas Storage and Transportation,2022,41(05):515-524.[doi:10.6047/j.issn.1000-8241.2022.05.003]
复杂网络理论的应用进展及对天然气管网的启示
《油气储运》[ISSN:1000-8241/CN:13-1093/TE]
卷:
41
期数:
2022年05期
页码:
515-524
栏目:
前沿与综述
出版日期:
2022-05-25
- Title:
- Advance in application of complex network theory and implications for natural gas pipeline networks
- 文章编号:
- 1000-8241（2022）05-0515-10
- Keywords:
- complex network theory; natural gas pipeline network; transmission network; topology structure; gas supply reliability; bottlenecks of pipeline transportation; area division; pipeline transportation fee
- 分类号:
- TE832
- 文献标志码:
- A
- 摘要:
- 随着中国天然气管网的逐步加密，管网运行愈加复杂，对管网拓扑结构、供气稳定性等方面的研究提出了新的挑战。近年来，复杂网络理论研究不断深入，已在交通、水力、电力等输送网络领域实现广泛应用。为借鉴复杂网络理论在相似输送网络中的研究成果，梳理了复杂网络理论在拓扑结构分析、输送可靠性评价、瓶颈识别、网络区域划分、网络流追踪5个方面的研究进展。针对中国天然气管网研究现状，提出发展建议：根据天然气管网无标度网络的特点，发展用于可靠性评价的随机抽样方法、网络流算法、人工智能需求预测方法，形成3大类瓶颈识别方法，建立区域划分算法，并对各类经营模式提出不同的网络流追踪算法；尽快进行管网拓扑结构特征分析，建立完整、快速的供气可靠性评价方法；利用网络流模型识别管网瓶颈，为新建管道提供依据；基于天然气管网供气特征进行区域划分，并发展一套清晰、透明的气流追踪算法用于管输费结算。研究结果可为天然气管网长期发展提供技术参考。（图1，表1，参75）
- Abstract:
- As the natural gas pipeline network in China is densified increasingly, its operation becomes more and more complicated, bringing challenges to the research on topology structure and gas supply reliability. In recent years, with the deepening of its research, the complex network theory has been widely applied in the transportation, water, power and other transmission networks. In order to draw on the current progress of the application of complex network theory in similar transmission networks, the main application results in topology structure analysis, transmission reliability evaluation, bottleneck identification, network area division and network flow tracking of were investigated and summarized. Then, according to the status of research on natural gas pipeline network in China, and suggestions were put forward for the development. Specifically, a random sampling method, network flow algorithm and artificial intelligence demand forecasting method for reliability evaluation were developed based on the scale-free characteristics of natural gas pipeline networks. Meanwhile, 3 types of identification methods for bottlenecks were developed, a division algorithm for areas was formed, and different network flow tracking algorithms were proposed for various types of business modes. In addition, analysis on characteristics of topology structure of pipeline networks should be performed, a evaluation method for gas supply reliability should be proposed, and the bottlenecks of pipeline network should be identified with the network flow model, so as to provide basis for the construction of new pipelines. Moreover, the area division should be based on the supply characteristics, and a set of gas flow tracking algorithm should be developed for the settlement of pipeline transportation fees. In general, the research results could provide technical reference to development of natural gas pipeline network. (1 Figure, 1 Table, 75 References)
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备注/Memo
叶恒，男，1990年生，在读博士生，2015年硕士毕业于中国石油大学（北京）油气田开发专业，现主要从事天然气管网运营优化研究。地址：北京市朝阳区东土城路5号城科大厦油气调控中心， 100013。电话：18800148451。Email：heisyh@163.com
基金项目：国家自然科学青年基金资助项目“基于数据科学的复杂天然气管网系统状态演化机制分析方法研究”，51904316。
（收稿日期：2021-11-20；修回日期：2022-03-22；编辑：李在蓉）
更新日期/Last Update:
2022-05-25