{"title":"A Load Scheduling Strategy for Electric Vehicles Charging System","authors":"Zheng Wang, Xiao Wu, Hongbin Zhao","doi":"10.1109/SERE-C.2014.42","DOIUrl":null,"url":null,"abstract":"Intelligent charging system for electric vehicles is a new application of power grid cyber-physical system which requires higher safety and reliability. During the execution of the system, it will bring a range of safety issues because of the heavy load of charging grid in some disturbance conditions. This paper analyzes the load safety issues and presents a load scheduling strategy based on one prediction that improves the safety of the system by dispatching charging piles based on the predictive load. In addition, the authors designed the architecture of the charging pile management system to achieve scheduling and management. Meanwhile, simulation experiment about prediction and scheduling strategy is done on the basis of the above and its feasibility has been proved.","PeriodicalId":373062,"journal":{"name":"2014 IEEE Eighth International Conference on Software Security and Reliability-Companion","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Eighth International Conference on Software Security and Reliability-Companion","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SERE-C.2014.42","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Intelligent charging system for electric vehicles is a new application of power grid cyber-physical system which requires higher safety and reliability. During the execution of the system, it will bring a range of safety issues because of the heavy load of charging grid in some disturbance conditions. This paper analyzes the load safety issues and presents a load scheduling strategy based on one prediction that improves the safety of the system by dispatching charging piles based on the predictive load. In addition, the authors designed the architecture of the charging pile management system to achieve scheduling and management. Meanwhile, simulation experiment about prediction and scheduling strategy is done on the basis of the above and its feasibility has been proved.