LAPSE

LAPSE:2019.0275v1
Published Article
LAPSE:2019.0275v1
An Overview of Modeling Approaches Applied to Aggregation-Based Fleet Management and Integration of Plug-in Electric Vehicles †
Shi You, Junjie Hu, Charalampos Ziras
February 5, 2019
The design and implementation of management policies for plug-in electric vehicles (PEVs) need to be supported by a holistic understanding of the functional processes, their complex interactions, and their response to various changes. Models developed to represent different functional processes and systems are seen as useful tools to support the related studies for different stakeholders in a tangible way. This paper presents an overview of modeling approaches applied to support aggregation-based management and integration of PEVs from the perspective of fleet operators and grid operators, respectively. We start by explaining a structured modeling approach, i.e., a flexible combination of process models and system models, applied to different management and integration studies. A state-of-the-art overview of modeling approaches applied to represent several key processes, such as charging management, and key systems, such as the PEV fleet, is then presented, along with a detailed description of different approaches. Finally, we discuss several considerations that need to be well understood during the modeling process in order to assist modelers and model users in the appropriate decisions of using existing, or developing their own, solutions for further applications.
Keywords
aggregation-based, fleet, integration, modeling approaches, plug-in electric vehicle
Suggested Citation
You S, Hu J, Ziras C. An Overview of Modeling Approaches Applied to Aggregation-Based Fleet Management and Integration of Plug-in Electric Vehicles †. (2019). LAPSE:2019.0275v1
Author Affiliations
You S: Department of Electrical Engineering, Technical University of Denmark, Elektrovej 325, DK-2800 Kgs. Lyngby, Denmark
Hu J: Department of Electrical Engineering, Technical University of Denmark, Elektrovej 325, DK-2800 Kgs. Lyngby, Denmark [ORCID]
Ziras C: Department of Electrical Engineering, Technical University of Denmark, Elektrovej 325, DK-2800 Kgs. Lyngby, Denmark
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Journal Name
Energies
Volume
9
Issue
11
Article Number
E968
Year
2016
Publication Date
2016-11-18
Published Version
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en9110968, Publication Type: Review
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LAPSE:2019.0275v1
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doi:10.3390/en9110968
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Feb 5, 2019
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CC BY 4.0
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[v1] (Original Submission)
Feb 5, 2019
 
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Feb 5, 2019
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http://psecommunity.org/LAPSE:2019.0275v1
 
Original Submitter
Calvin Tsay
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