Zhihang Xue , Kai Wang , Di Cao , Siyu Zhou , Yu Liu
{"title":"主余震序列下超高压换流站的弹性重要性度量","authors":"Zhihang Xue , Kai Wang , Di Cao , Siyu Zhou , Yu Liu","doi":"10.1016/j.ress.2025.111245","DOIUrl":null,"url":null,"abstract":"<div><div>Ultra-high voltage (UHV) converter stations are crucial for power systems, but their towering structures are highly vulnerable to earthquakes. It is, therefore, of great significance to enhance the resilience of the converter stations such that they can withstand and recover promptly from disruptions caused by earthquakes. Nevertheless, the uncertainties associated with earthquakes significantly hinder the post-earthquake recovery process, thus impacting importance ranking of the equipment in UHV converter stations. To address these uncertainties, this article proposes a new resilience-based importance (RBI) measure integrating vulnerability and recoverability under mainshock-aftershock sequences. Specifically, a roulette-wheel damage scenario generation method is adopted to generate equipment damage scenarios considering uncertainties. RBI measures considering cumulative damage effects from mainshock-aftershock sequences are calculated to evaluate equipment vulnerability and recoverability. The Copeland Score (CS) stochastic ranking method ranks equipment RBI, providing an optimal prioritization strategy for post-earthquake recovery. A case study of a ± 800 kV converter station demonstrates the proposed RBI method. Results show the RBI-based recovery strategy improves resilience by 10.4 % compared to traditional performance recovery importance (PRI) method. Neglecting aftershocks would result in approximately a 5.6 % overestimation of resilience.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"262 ","pages":"Article 111245"},"PeriodicalIF":9.4000,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Resilience-based importance measure for ultra-high voltage converter stations under mainshock-aftershock sequences\",\"authors\":\"Zhihang Xue , Kai Wang , Di Cao , Siyu Zhou , Yu Liu\",\"doi\":\"10.1016/j.ress.2025.111245\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Ultra-high voltage (UHV) converter stations are crucial for power systems, but their towering structures are highly vulnerable to earthquakes. It is, therefore, of great significance to enhance the resilience of the converter stations such that they can withstand and recover promptly from disruptions caused by earthquakes. Nevertheless, the uncertainties associated with earthquakes significantly hinder the post-earthquake recovery process, thus impacting importance ranking of the equipment in UHV converter stations. To address these uncertainties, this article proposes a new resilience-based importance (RBI) measure integrating vulnerability and recoverability under mainshock-aftershock sequences. Specifically, a roulette-wheel damage scenario generation method is adopted to generate equipment damage scenarios considering uncertainties. RBI measures considering cumulative damage effects from mainshock-aftershock sequences are calculated to evaluate equipment vulnerability and recoverability. The Copeland Score (CS) stochastic ranking method ranks equipment RBI, providing an optimal prioritization strategy for post-earthquake recovery. A case study of a ± 800 kV converter station demonstrates the proposed RBI method. Results show the RBI-based recovery strategy improves resilience by 10.4 % compared to traditional performance recovery importance (PRI) method. Neglecting aftershocks would result in approximately a 5.6 % overestimation of resilience.</div></div>\",\"PeriodicalId\":54500,\"journal\":{\"name\":\"Reliability Engineering & System Safety\",\"volume\":\"262 \",\"pages\":\"Article 111245\"},\"PeriodicalIF\":9.4000,\"publicationDate\":\"2025-05-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Reliability Engineering & System Safety\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0951832025004466\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, INDUSTRIAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Reliability Engineering & System Safety","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0951832025004466","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
Resilience-based importance measure for ultra-high voltage converter stations under mainshock-aftershock sequences
Ultra-high voltage (UHV) converter stations are crucial for power systems, but their towering structures are highly vulnerable to earthquakes. It is, therefore, of great significance to enhance the resilience of the converter stations such that they can withstand and recover promptly from disruptions caused by earthquakes. Nevertheless, the uncertainties associated with earthquakes significantly hinder the post-earthquake recovery process, thus impacting importance ranking of the equipment in UHV converter stations. To address these uncertainties, this article proposes a new resilience-based importance (RBI) measure integrating vulnerability and recoverability under mainshock-aftershock sequences. Specifically, a roulette-wheel damage scenario generation method is adopted to generate equipment damage scenarios considering uncertainties. RBI measures considering cumulative damage effects from mainshock-aftershock sequences are calculated to evaluate equipment vulnerability and recoverability. The Copeland Score (CS) stochastic ranking method ranks equipment RBI, providing an optimal prioritization strategy for post-earthquake recovery. A case study of a ± 800 kV converter station demonstrates the proposed RBI method. Results show the RBI-based recovery strategy improves resilience by 10.4 % compared to traditional performance recovery importance (PRI) method. Neglecting aftershocks would result in approximately a 5.6 % overestimation of resilience.
期刊介绍:
Elsevier publishes Reliability Engineering & System Safety in association with the European Safety and Reliability Association and the Safety Engineering and Risk Analysis Division. The international journal is devoted to developing and applying methods to enhance the safety and reliability of complex technological systems, like nuclear power plants, chemical plants, hazardous waste facilities, space systems, offshore and maritime systems, transportation systems, constructed infrastructure, and manufacturing plants. The journal normally publishes only articles that involve the analysis of substantive problems related to the reliability of complex systems or present techniques and/or theoretical results that have a discernable relationship to the solution of such problems. An important aim is to balance academic material and practical applications.