摘要：An integrated dynamic model of natural gas pipeline networks is developed in this paper. Components for gas supply, e.g., pipelines, junctions, compressor stations, LNG terminals, regulation stations and gas storage facilities are included in the model. These components are firstly modeled with respect to their properties and functions and, then, integrated at the system level by Graph Theory. The model can be used for simulating the system response in different scenarios of operation, and evaluate the consequences from the perspectives of supply security and resilience. A case study is considered to evaluate the accuracy of the model by benchmarking its results against those from literature and the software Pipeline Studio. Finally, the model is applied on a relatively complex natural gas pipeline network and the results are analyzed in detail from the supply security and resilience points of view. The main contributions of the paper are: firstly, a novel model of a complex gas pipeline network is proposed as a dynamic state-space model at system level; a method, based on the dynamic model, is proposed to analyze the security and resilience of supply from a system perspective. ?? 2022 The Authors. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/ 4.0/).

关键字：Natural gas pipeline networks; Dynamic modeling; State space model; Graph theory; Resilience of natural gas supply

ISSN号：1672-5107

卷、期、页：卷: 19期: 2页: 761-773

发表日期：2022-04-01

影响因子：4.089900

期刊分区（SCI为中科院分区）：一区

收录情况：SCIE（科学引文索引网络版）

发表期刊名称：PETROLEUM SCIENCE

参与作者：恩里克.齐奥,张宗杰,熊长征,代潜升,吴庆卫

第一作者：苏怀,张劲军

论文类型：期刊论文

论文概要：苏怀,恩里克.齐奥,张宗杰,熊长征,代潜升,吴庆卫,张劲军，Development of an integrated dynamic model for supply security and resilience analysis of natural gas pipeline network systems，PETROLEUM SCIENCE，2022，卷: 19期: 2页: 761-773

论文题目：Development of an integrated dynamic model for supply security and resilience analysis of natural gas pipeline network systems