Yunlong Hu, P. Yi, Y. Sui, Zongrui Zhang, Yao Yao, Wei Wang, Ting Zhu
{"title":"Dispatching and Distributing Energy in Energy Internet under Energy Dilemma","authors":"Yunlong Hu, P. Yi, Y. Sui, Zongrui Zhang, Yao Yao, Wei Wang, Ting Zhu","doi":"10.1109/SSIC.2018.8556650","DOIUrl":null,"url":null,"abstract":"The Energy Internet is a hot topic for building networks that can transmit energy like the Internet. This paper mainly discusses the composition and energy scheduling for the electric vehicle energy transmission network. The network mainly includes energy points and charging stations connected by energy routing. The energy point will generate energy and the charging station will provide energy. However, in some cases, the charging station cannot obtain energy point, which leads to its energy reserve crisis. In this paper, we introduce an algorithm to dispatch energy to alleviate the energy crisis. On the basis of some graph theory, the routing problem when energy input is lost is analyzed by comparing two algorithms from the energy point to charging station. In addition, we discuss this issue in dynamic situations to better observe changes in energy transfer over time and use real- world transportation data onto simulation. The simulation results show that the algorithm can effectively delay the emergence of crisis charging stations.","PeriodicalId":302563,"journal":{"name":"2018 Third International Conference on Security of Smart Cities, Industrial Control System and Communications (SSIC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Third International Conference on Security of Smart Cities, Industrial Control System and Communications (SSIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSIC.2018.8556650","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The Energy Internet is a hot topic for building networks that can transmit energy like the Internet. This paper mainly discusses the composition and energy scheduling for the electric vehicle energy transmission network. The network mainly includes energy points and charging stations connected by energy routing. The energy point will generate energy and the charging station will provide energy. However, in some cases, the charging station cannot obtain energy point, which leads to its energy reserve crisis. In this paper, we introduce an algorithm to dispatch energy to alleviate the energy crisis. On the basis of some graph theory, the routing problem when energy input is lost is analyzed by comparing two algorithms from the energy point to charging station. In addition, we discuss this issue in dynamic situations to better observe changes in energy transfer over time and use real- world transportation data onto simulation. The simulation results show that the algorithm can effectively delay the emergence of crisis charging stations.