{"title":"基于储能配置的海岛综合能源系统风险优化灾前防御策略","authors":"Dongyue Zhou, Xueping Pan, Jinpeng Guo, Xiaorong Sun, Yongkai Wei","doi":"10.1016/j.segan.2026.102155","DOIUrl":null,"url":null,"abstract":"<div><div>The unique natural environment of islands and the increasing frequency of extreme disasters, exacerbated by climate change, will inevitably lead to high failure probabilities of Island Integrated Energy Systems (IIES), and deteriorate its inspection and recovery process, thus posing substantial challenges to the operational safety of IIES. To reduce the risk of IIES under typhoon and its secondary disasters, a novel risk-optimized pre-disaster defense strategy is proposed by configuring energy storages (ESs). Firstly, the failure probabilities of IIES are calculated by considering combined effects of typhoon and its secondary disaster, and the cascading failure model is used to evaluate overall failure probability of IIES. Secondly, the risk and resilience of IIES is compared and discussed. Followed by this, a new ES optimal configuration strategy is proposed to minimize the risk of IIES under the combined effects of typhoon and its secondary disasters, which is validated by a test IIES system. Results show that the risk is reduced by 26.4 % after ES deployment, and the overall cost is 15 % and 27 % less than the results of resilience-based optimization strategy. This study contributes to improving the operational safety and risk resistance capability of IIES with reasonable investment.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"45 ","pages":"Article 102155"},"PeriodicalIF":5.6000,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A risk-optimized pre-disaster defense strategy for island integrated energy systems based on energy storage configuration\",\"authors\":\"Dongyue Zhou, Xueping Pan, Jinpeng Guo, Xiaorong Sun, Yongkai Wei\",\"doi\":\"10.1016/j.segan.2026.102155\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The unique natural environment of islands and the increasing frequency of extreme disasters, exacerbated by climate change, will inevitably lead to high failure probabilities of Island Integrated Energy Systems (IIES), and deteriorate its inspection and recovery process, thus posing substantial challenges to the operational safety of IIES. To reduce the risk of IIES under typhoon and its secondary disasters, a novel risk-optimized pre-disaster defense strategy is proposed by configuring energy storages (ESs). Firstly, the failure probabilities of IIES are calculated by considering combined effects of typhoon and its secondary disaster, and the cascading failure model is used to evaluate overall failure probability of IIES. Secondly, the risk and resilience of IIES is compared and discussed. Followed by this, a new ES optimal configuration strategy is proposed to minimize the risk of IIES under the combined effects of typhoon and its secondary disasters, which is validated by a test IIES system. Results show that the risk is reduced by 26.4 % after ES deployment, and the overall cost is 15 % and 27 % less than the results of resilience-based optimization strategy. This study contributes to improving the operational safety and risk resistance capability of IIES with reasonable investment.</div></div>\",\"PeriodicalId\":56142,\"journal\":{\"name\":\"Sustainable Energy Grids & Networks\",\"volume\":\"45 \",\"pages\":\"Article 102155\"},\"PeriodicalIF\":5.6000,\"publicationDate\":\"2026-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sustainable Energy Grids & Networks\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2352467726000378\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2026/2/14 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Energy Grids & Networks","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352467726000378","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/2/14 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
A risk-optimized pre-disaster defense strategy for island integrated energy systems based on energy storage configuration
The unique natural environment of islands and the increasing frequency of extreme disasters, exacerbated by climate change, will inevitably lead to high failure probabilities of Island Integrated Energy Systems (IIES), and deteriorate its inspection and recovery process, thus posing substantial challenges to the operational safety of IIES. To reduce the risk of IIES under typhoon and its secondary disasters, a novel risk-optimized pre-disaster defense strategy is proposed by configuring energy storages (ESs). Firstly, the failure probabilities of IIES are calculated by considering combined effects of typhoon and its secondary disaster, and the cascading failure model is used to evaluate overall failure probability of IIES. Secondly, the risk and resilience of IIES is compared and discussed. Followed by this, a new ES optimal configuration strategy is proposed to minimize the risk of IIES under the combined effects of typhoon and its secondary disasters, which is validated by a test IIES system. Results show that the risk is reduced by 26.4 % after ES deployment, and the overall cost is 15 % and 27 % less than the results of resilience-based optimization strategy. This study contributes to improving the operational safety and risk resistance capability of IIES with reasonable investment.
期刊介绍:
Sustainable Energy, Grids and Networks (SEGAN)is an international peer-reviewed publication for theoretical and applied research dealing with energy, information grids and power networks, including smart grids from super to micro grid scales. SEGAN welcomes papers describing fundamental advances in mathematical, statistical or computational methods with application to power and energy systems, as well as papers on applications, computation and modeling in the areas of electrical and energy systems with coupled information and communication technologies.