{"title":"通过线路包和移动压缩机两级增强电-气一体化系统弹性的方法","authors":"Chao Qin , Yongxue Wang , Shuaihu Ye","doi":"10.1016/j.ijepes.2025.110722","DOIUrl":null,"url":null,"abstract":"<div><div>Extreme weather events pose significant threats to the Integrated Electricity-Gas Systems (IEGS), often resulting in catastrophic faults of critical components and subsequent disruptions in energy supply. This paper proposes a novel two-stage resilience enhancement method that systematically coordinates the distinct operational characteristics and complementary resilience resources of Power Distribution Systems (PDS) and Natural Gas Systems (NGS). In the pre-disaster stage, comprehensive optimization of mobile compressors, linepack capacity, and PDS topology is performed to maximize the potential for system resilience recovery. In the post-disaster stage, considering the cascading fault propagation characteristics and linepack flow dynamics, the mobile compressors are dispatched to flexibly establish gas transmission links between linepack /gas wells and isolated gas network islands, thereby facilitating the recovery of the IEGS. The proposed method is reformulated into a mixed-integer second-order cone programming model using second-order cone relaxation. The progressive hedging algorithm is employed to further improve the solution efficiency. The proposed method is validated on an IEGS with a 33-bus PDS and a 20-node NGS. Results show that the proposed method provides a robust solution for improving IEGS resilience, offering significant advancements in coordinated electricity-gas system operation during extreme weather events.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"168 ","pages":"Article 110722"},"PeriodicalIF":5.0000,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Two-stage resilience enhancement method for integrated electricity-gas systems through linepack and mobile compressors\",\"authors\":\"Chao Qin , Yongxue Wang , Shuaihu Ye\",\"doi\":\"10.1016/j.ijepes.2025.110722\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Extreme weather events pose significant threats to the Integrated Electricity-Gas Systems (IEGS), often resulting in catastrophic faults of critical components and subsequent disruptions in energy supply. This paper proposes a novel two-stage resilience enhancement method that systematically coordinates the distinct operational characteristics and complementary resilience resources of Power Distribution Systems (PDS) and Natural Gas Systems (NGS). In the pre-disaster stage, comprehensive optimization of mobile compressors, linepack capacity, and PDS topology is performed to maximize the potential for system resilience recovery. In the post-disaster stage, considering the cascading fault propagation characteristics and linepack flow dynamics, the mobile compressors are dispatched to flexibly establish gas transmission links between linepack /gas wells and isolated gas network islands, thereby facilitating the recovery of the IEGS. The proposed method is reformulated into a mixed-integer second-order cone programming model using second-order cone relaxation. The progressive hedging algorithm is employed to further improve the solution efficiency. The proposed method is validated on an IEGS with a 33-bus PDS and a 20-node NGS. Results show that the proposed method provides a robust solution for improving IEGS resilience, offering significant advancements in coordinated electricity-gas system operation during extreme weather events.</div></div>\",\"PeriodicalId\":50326,\"journal\":{\"name\":\"International Journal of Electrical Power & Energy Systems\",\"volume\":\"168 \",\"pages\":\"Article 110722\"},\"PeriodicalIF\":5.0000,\"publicationDate\":\"2025-05-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Electrical Power & Energy Systems\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S014206152500273X\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Electrical Power & Energy Systems","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S014206152500273X","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Two-stage resilience enhancement method for integrated electricity-gas systems through linepack and mobile compressors
Extreme weather events pose significant threats to the Integrated Electricity-Gas Systems (IEGS), often resulting in catastrophic faults of critical components and subsequent disruptions in energy supply. This paper proposes a novel two-stage resilience enhancement method that systematically coordinates the distinct operational characteristics and complementary resilience resources of Power Distribution Systems (PDS) and Natural Gas Systems (NGS). In the pre-disaster stage, comprehensive optimization of mobile compressors, linepack capacity, and PDS topology is performed to maximize the potential for system resilience recovery. In the post-disaster stage, considering the cascading fault propagation characteristics and linepack flow dynamics, the mobile compressors are dispatched to flexibly establish gas transmission links between linepack /gas wells and isolated gas network islands, thereby facilitating the recovery of the IEGS. The proposed method is reformulated into a mixed-integer second-order cone programming model using second-order cone relaxation. The progressive hedging algorithm is employed to further improve the solution efficiency. The proposed method is validated on an IEGS with a 33-bus PDS and a 20-node NGS. Results show that the proposed method provides a robust solution for improving IEGS resilience, offering significant advancements in coordinated electricity-gas system operation during extreme weather events.
期刊介绍:
The journal covers theoretical developments in electrical power and energy systems and their applications. The coverage embraces: generation and network planning; reliability; long and short term operation; expert systems; neural networks; object oriented systems; system control centres; database and information systems; stock and parameter estimation; system security and adequacy; network theory, modelling and computation; small and large system dynamics; dynamic model identification; on-line control including load and switching control; protection; distribution systems; energy economics; impact of non-conventional systems; and man-machine interfaces.
As well as original research papers, the journal publishes short contributions, book reviews and conference reports. All papers are peer-reviewed by at least two referees.