LAPSE:2018.0893
Published Article
LAPSE:2018.0893
Aggregator-Based Interactive Charging Management System for Electric Vehicle Charging
Mingchao Xia, Qingying Lai, Yajiao Zhong, Canbing Li, Hsiao-Dong Chiang
November 27, 2018
With the ongoing large-scale implementation of electric vehicles (EVs), the exploration of a more flexible approach to maintain fair interaction between EVs and the power grid is urgently required. This paper presents an aggregator-based interactive charging management scheme adopting interruptible load (IL) pricing, in which the EV aggregator will respond to the load control command of the grid in an EV interactive mode. Charging managements are carried out according to battery state-of-charge and the EV departure time in EV charging stations. A power-altering charging (PAC) control method is proposed to dispatch the EVs charging fairly in a station and guarantee EV owners’ preferences. The method does not require classical iterative procedures or heavy computations; furthermore, it is beneficial for EVs to depart earlier than expected for reasons beyond keeping homeostatic charging. The proposed scheme, which is tested to charge individual EVs well according to its preference, was implemented as part of an “EV Beijing” project. The proposed management scheme provides new insight into EV charging strategy and provides another choice to EV users.
Keywords
charging management, electric vehicle (EV), EV Aggregator, load control
Suggested Citation
Xia M, Lai Q, Zhong Y, Li C, Chiang HD. Aggregator-Based Interactive Charging Management System for Electric Vehicle Charging. (2018). LAPSE:2018.0893
Author Affiliations
Xia M: School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China [ORCID]
Lai Q: School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China
Zhong Y: School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China
Li C: College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Chiang HD: Department of Electrical and Computer Engineering, Cornell University, Ithaca, NY 14853, USA
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Journal Name
Energies
Volume
9
Issue
3
Article Number
E159
Year
2016
Publication Date
2016-03-04
Published Version
ISSN
1996-1073
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Original Submission
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PII: en9030159, Publication Type: Journal Article
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LAPSE:2018.0893
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doi:10.3390/en9030159
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Nov 27, 2018
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CC BY 4.0
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[v1] (Original Submission)
Nov 27, 2018
 
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Nov 27, 2018
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Original Submitter
Calvin Tsay
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