Smart electric vehicle charging management for smart cities. Issue 1 (11th March 2020)

• Record Type: Journal Article
• Authors: Vaidya, Binod; Mouftah, Hussein T.
• Is Part Of: IET smart cities. Volume 2:Issue 1(2020)
• Page Start: 4
• Page End: 13
• Publication Date: 2020-03-11
• Subjects: power grids -- scheduling -- electric vehicles -- electric vehicle charging -- smart cities -- resource allocation; smart electric vehicle charging management -- smart cities -- EV penetration -- uncoordinated charging -- electric power grid -- EV charging network -- charging facilities -- effective reservation management -- charging strategy -- smart EV charging management system -- urban mobility paradigms -- fossil fuel -- carbon emission reduction -- scarce charging station resource allocation -- efficient slot allocation -- user discontent factor -- estimated charging cost -- estimated charging time -- average waiting time -- CS congestion impact -- scheduling scheme; B8520 Transportation; Smart cities -- Periodicals; City planning -- Technological innovations -- Periodicals; Cities and towns -- Growth -- Periodicals; Sustainable urban development -- Periodicals; Sustainable development; City planning -- Technological innovations; Cities and towns -- Growth; Periodicals; 307.76
• DOI: 10.1049/iet-smc.2019.0076
• Languages: English
• ISSNs: 2631-7680

Abstract

Abstract : In recent years, attraction to alternative urban mobility paradigms such as electric vehicles (EVs) is increasing since EVs can significantly minimise fossil fuel dependency and reduce carbon emission in urban areas. Nonetheless, there are several barriers toward widespread adoption of EVs. Moreover, as EV penetration increases in urban areas, uncoordinated charging may cause power outage. Deployment of EV charging network can allow EVs to communicate with the service provider to coordinate charging activities. Taking into account, increased growth of EVs, number of charging facilities will be inadequate in urban areas, so efficient EV charging management is required for managing and allocating scarce charging station (CS) resources. In this study, the authors have designed and implemented a smart EV charging management system utilizing charging strategy that includes effective reservation management and efficient slot allocation of CSs. Considering composite cost that includes waiting time, estimated charging time, estimated charging cost, user discontent factor and CS congestion impact in such a method, their scheduling scheme shall furnish a set of optimal solutions. Viewing user discontent factor and average waiting time, they have evaluated performance of proposed strategy. The proposed charging strategy is effective than the existing one in terms of average waiting time.