LAPSE:2023.20452
Published Article
LAPSE:2023.20452
Optimal Configuration of Extreme Fast Charging Stations Integrated with Energy Storage System and Photovoltaic Panels in Distribution Networks
Zhouquan Wu, Pradeep Krishna Bhat, Bo Chen
March 17, 2023
Extreme fast charging (XFC) for electric vehicles (EVs) has emerged recently because of the short charging period. However, the extreme high charging power of EVs at XFC stations may severely impact distribution networks. This paper addresses the estimation of the charging power demand of XFC stations and the design of multiple XFC stations with renewable energy resources in current distribution networks. First, a Monte Carlo (MC) simulation tool was created utilizing the EV arrival time and state-of-charge (SOC) distributions obtained from the dataset of vehicle travel surveys. Various impact factors are considered to obtain a realistic estimation of the charging power demand of XFC stations. Then, a method for determining the optimal energy capacity of the energy storage system (ESS), ESS rated power, and size of photovoltaic (PV) panels for multiple XFC stations in a distribution network is presented, with the goal of achieving an optimal configuration. The optimal power flow technique is applied to this optimization so that the optimal solutions meet not only the charging demand but also the operational constraints related to XFC, ESS, PV panels, and distribution networks. Simulation results of a use case indicate that the presented MC simulation can estimate approximate real-world XFC charging demand, and the optimized ESS and PV units in multiple XFC stations in the distribution network can reduce the annual total cost of XFC stations and improve the performance of the distribution network.
Keywords
charging demand estimation of XFC stations, electric vehicles charging, extreme fast charging (XFC) stations, optimal configuration of XFC stations, XFC station integrated with renewable energy resources
Suggested Citation
Wu Z, Bhat PK, Chen B. Optimal Configuration of Extreme Fast Charging Stations Integrated with Energy Storage System and Photovoltaic Panels in Distribution Networks. (2023). LAPSE:2023.20452
Author Affiliations
Wu Z: Department of Electrical and Computer Engineering, Michigan Technological University, 1400 Townsend Dr., Houghton, MI 49931, USA
Bhat PK: Department of Mechanical Engineering-Engineering Mechanics, Michigan Technological University, 1400 Townsend Dr., Houghton, MI 49931, USA
Chen B: Department of Electrical and Computer Engineering, Michigan Technological University, 1400 Townsend Dr., Houghton, MI 49931, USA; Department of Mechanical Engineering-Engineering Mechanics, Michigan Technological University, 1400 Townsend Dr., Houghton, M [ORCID]
Journal Name
Energies
Volume
16
Issue
5
First Page
2385
Year
2023
Publication Date
2023-03-02
Published Version
ISSN
1996-1073
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Original Submission
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PII: en16052385, Publication Type: Journal Article
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LAPSE:2023.20452
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doi:10.3390/en16052385
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Mar 17, 2023
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