LAPSE:2023.21193
Published Article
LAPSE:2023.21193
Multi-Objective Optimal Charging Control of Plug-In Hybrid Electric Vehicles in Power Distribution Systems
Wei Li, Zhiyun Lin, Kai Cai, Hanyun Zhou, Gangfeng Yan
March 21, 2023
Abstract
With the increasing popularity of plug-in hybrid electric vehicles (PHEVs), the coordinated charging of PHEVs has become an important issue in power distribution systems. This paper employs a multi-objective optimization model for coordinated charging of PHEVs in the system, in which the problem of valley filling and total cost minimization are both investigated under the system’s technical constraints. To this end, a hierarchical optimal algorithm combining the water-filling-based algorithm with the consensus-based method is proposed to solve the constrained optimization problem. Moreover, a moving horizon approach is adopted to deal with the case where PHEVs arrive and leave randomly. We show that the proposed algorithm not only enhances the stability of the power load but also achieves the global minimization of vehicle owners charging costs, and its implementation is convenient in the multi-level power distribution system integrating the physical power grid with a heterogeneous information network. Numerical simulations are presented to show the desirable performance of the proposed algorithm.
Keywords
coordinated charging, hierarchical algorithm, moving horizon approach, multi-objective optimization, PHEVs
Suggested Citation
Li W, Lin Z, Cai K, Zhou H, Yan G. Multi-Objective Optimal Charging Control of Plug-In Hybrid Electric Vehicles in Power Distribution Systems. (2023). LAPSE:2023.21193
Author Affiliations
Li W: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Lin Z: School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China
Cai K: Department of Electrical and Information Engineering, Osaka City University, Osaka 5588585, Japan
Zhou H: Institute of Marine Information Science and Technology, Zhejiang University, Zhoushan, 316022, China
Yan G: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Journal Name
Energies
Volume
12
Issue
13
Article Number
E2563
Year
2019
Publication Date
2019-07-03
ISSN
1996-1073
Version Comments
Original Submission
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PII: en12132563, Publication Type: Journal Article
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LAPSE:2023.21193
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https://doi.org/10.3390/en12132563
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