Xi Zhang, H. Hu, Zihang Dong, F. Huangfu, Y. Liu, G. Strbac
{"title":"弹性城市能源系统中众多电动汽车的协调策略","authors":"Xi Zhang, H. Hu, Zihang Dong, F. Huangfu, Y. Liu, G. Strbac","doi":"10.1109/EI256261.2022.10116296","DOIUrl":null,"url":null,"abstract":"To tackle the impacts of accelerating climate change and increasing occurrence of natural disasters, it is imperative to enhance the resilience of urban energy system. Particularly in the context of deep electrification of the transport sector and energy system integration, the coordination of numerous electrical vehicles (EVs) can provide a cost-effective manner to mitigate the adverse consequences of high impact and low probability (HILP) contingencies, thus improving system resilience. In this paper, a novel distributed algorithm aimed at coordinating a large population of EVs is proposed to enhance the resilience of urban energy system. The presented method alleviates the load curtailment iteratively by adjusting EV charging/discharging schedules while considering the energy requirements of individual EVs. The effectiveness of the distributed coordinative approach is tested and demonstrated by a series of case studies.","PeriodicalId":413409,"journal":{"name":"2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)","volume":"5 2","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Coordinative Strategy for Numerous Electric Vehicles in a Resilient Urban Energy System\",\"authors\":\"Xi Zhang, H. Hu, Zihang Dong, F. Huangfu, Y. Liu, G. Strbac\",\"doi\":\"10.1109/EI256261.2022.10116296\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To tackle the impacts of accelerating climate change and increasing occurrence of natural disasters, it is imperative to enhance the resilience of urban energy system. Particularly in the context of deep electrification of the transport sector and energy system integration, the coordination of numerous electrical vehicles (EVs) can provide a cost-effective manner to mitigate the adverse consequences of high impact and low probability (HILP) contingencies, thus improving system resilience. In this paper, a novel distributed algorithm aimed at coordinating a large population of EVs is proposed to enhance the resilience of urban energy system. The presented method alleviates the load curtailment iteratively by adjusting EV charging/discharging schedules while considering the energy requirements of individual EVs. The effectiveness of the distributed coordinative approach is tested and demonstrated by a series of case studies.\",\"PeriodicalId\":413409,\"journal\":{\"name\":\"2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)\",\"volume\":\"5 2\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EI256261.2022.10116296\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EI256261.2022.10116296","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Coordinative Strategy for Numerous Electric Vehicles in a Resilient Urban Energy System
To tackle the impacts of accelerating climate change and increasing occurrence of natural disasters, it is imperative to enhance the resilience of urban energy system. Particularly in the context of deep electrification of the transport sector and energy system integration, the coordination of numerous electrical vehicles (EVs) can provide a cost-effective manner to mitigate the adverse consequences of high impact and low probability (HILP) contingencies, thus improving system resilience. In this paper, a novel distributed algorithm aimed at coordinating a large population of EVs is proposed to enhance the resilience of urban energy system. The presented method alleviates the load curtailment iteratively by adjusting EV charging/discharging schedules while considering the energy requirements of individual EVs. The effectiveness of the distributed coordinative approach is tested and demonstrated by a series of case studies.