학술논문

Optimal Planning of Dynamic Wireless Charging Infrastructure for Electric Vehicles
Document Type
Periodical
Source
IEEE Access Access, IEEE. 12:30661-30673 2024
Subject
Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Geoscience
Nuclear Engineering
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Planning
Costs
Electric vehicle charging
Batteries
Coils
Traffic control
Resource management
Decentralized control
Inductive charging
Wireless power transfer
Electric vehicles
Deployment optimization
distributed generation (DG) resources
dynamic wireless charging (DWC)
electric vehicle (EV)
wireless power transfer
Language
ISSN
2169-3536
Abstract
The market share of electric vehicles (EVs) is increasing due to their low greenhouse gas (GHG) emissions and reduced running costs. However, range anxiety and charging downtime are some challenges slowing down the adoption of this new technology. Dynamic wireless charging (DWC) aims to minimize the problems above by allowing the EVs to charge while in motion. With DWC, optimizing the locations of the lanes is crucial to maximizing their utilization while minimizing the capital and operational expenditure of the system. Additionally, the extra load that DWC incurs on the power grid must be considered to avoid grid overload. In this work, a realistic traffic simulation is built. A new methodology is proposed to optimally deploy DWC lanes in the simulated road network and allocate distributed generation (DG) resources to support the power grid. The model is implemented for a large road network within Sharjah, UAE. Results reveal that, for a 30% EV penetration level, a DWC system is economically feasible and profitable to deploy to address the anticipated EV charging demand within the traffic network under consideration.