A coordinated dynamic pricing model for electric vehicle charging stations
Document Type
Journal Article
Publication Title
IEEE Transactions on Transportation Electrification
PubMed ID
30043403
Publisher
Institute of Electrical and Electronics Engineers Inc.
School
School of Engineering
RAS ID
31156
Abstract
The charging loads of plug-in electric vehicles (PEVs) within a network of charging stations (CSs) are not uniformly distributed. The load distribution is skewed toward the stations located in the hotspot areas, instigating longer queues and waiting times, particularly during afternoon peak traffic hours. This can lead to a major challenge for the utilities in the form of an extended PEV load period, which could overlap with the residential evening peak load hours, increase peak demand, and cause serious issues, such as network instability and power outages. This paper presents a new coordinated dynamic pricing model to reduce the overlaps between residential and CS loads by inspiring the temporal PEV load shifting during evening peak load hours. The new idea is to dynamically adjust the price incentives to drift PEVs toward less popular/underutilized CSs. We formulate a constraint optimization problem and introduce a heuristic solution to minimize the overlap between the PEV and residential peak load periods. Our extensive simulation results indicate that the proposed model significantly reduces the overlap and the PEV load during evening peak hours. © 2018 IEEE.
DOI
10.1109/TTE.2019.2897087
Access Rights
subscription content
Comments
Moghaddam, Z., Ahmad, I., Habibi, D., & Masoum, M. A. S. (2019). A coordinated dynamic pricing model for electric vehicle charging stations. IEEE Transactions on Transportation Electrification, 5(1), 226-238. Available here.