{"title":"An efficient itinerary management scheme for electric vehicles using ACO","authors":"Deepika Hooda, Neeraj Kumar","doi":"10.1109/INVENTIVE.2016.7824832","DOIUrl":null,"url":null,"abstract":"Electric grid has been transformed to smart grid by incorporating ICT infrastructure. This transformation of a smart grid from a conventional grid is necessary to achieve environmental targets. Smart grid technology has significantly changed the way of generation and distribution of electricity which not only helps to decrease the demand of power and cost savings, but also can comparably improve the reliability and efficiency of power system. An electric vehicle (EV), a component of smart grid is the vehicle which uses electric motors for moving the vehicle. Itinerary planning of EV is to manage the whole journey without exhausting battery capacity. The aim of the proposed model is to find the optimized route for an EV in terms of distance travelled and cost of charging from any source to destination. In this paper, an algorithm has been designed to calculate the optimized route by using Ant Colony Optimization (ACO) technique.","PeriodicalId":252950,"journal":{"name":"2016 International Conference on Inventive Computation Technologies (ICICT)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Inventive Computation Technologies (ICICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INVENTIVE.2016.7824832","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Electric grid has been transformed to smart grid by incorporating ICT infrastructure. This transformation of a smart grid from a conventional grid is necessary to achieve environmental targets. Smart grid technology has significantly changed the way of generation and distribution of electricity which not only helps to decrease the demand of power and cost savings, but also can comparably improve the reliability and efficiency of power system. An electric vehicle (EV), a component of smart grid is the vehicle which uses electric motors for moving the vehicle. Itinerary planning of EV is to manage the whole journey without exhausting battery capacity. The aim of the proposed model is to find the optimized route for an EV in terms of distance travelled and cost of charging from any source to destination. In this paper, an algorithm has been designed to calculate the optimized route by using Ant Colony Optimization (ACO) technique.