A Data-driven Harmonic Modeling Method for Electric Vehicle Charging Stations

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CIRED 2019 - 1409.pdf (718.28 KB)

Paper number

1409

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Conference name

CIRED 2019

Conference date

3-6 June 2019

Conference location

Madrid, Spain

Peer-reviewed

Yes

Short title

Convener

Authors

Liu, Yiming, Huazhong University of Science and Technology, China
Li, Yan, Huazhong University of Science and Technology, China
Ren, Jiaxin, Huazhong University of Science and Technology, China
Wang, Shaorong, Huazhong University of Science and Technology, China
Li, Li, University of Technology Sydney, Australia

Abstract

Electric vehicle (EV) chargers are non-linear loads mainly composed of power electronic devices, which will produce harmonics when connected to distribution networks on a large scale, endangering the safe and stable operation of the power grid and power equipment. When high-power charging stations are connected to the distribution network, the mechanism modeling methods are usually too complex. This paper proposes a data-driven harmonic modeling method for EV charging stations. Firstly, the actual measured data is obtained by the charging monitoring system to analyze the harmonic characteristics of current and voltage in the dynamic process of charging. Then, the overall equivalent modeling strategy is adopted for EV charging stations. The relationship between the amplitude and phase angle of each harmonic current and the fundamental voltage, the state of charge (SOC) of the battery and the type of rectifier circuit is non-linearly mapped by the radial basis function network (RBFN). In order to validate the effectiveness of this modeling method, a battery-SOC-based charging station model of EV is built to simulate the output characteristics of the charging station in a complete charging cycle, and RBFN modeling is conducted with the acquired data. The results show that the method can well reflect the harmonic external characteristics of the parallel points of the charging station, and has the advantages of fast simulation speed and high precision. It is an effective harmonic source modeling method, which can be applied to the harmonic estimation of large-scale grid connection of EV charging stations and power quality management.

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Publisher

AIM

Date

2019-06-03

Published in

CIRED 2019 Conference

Permanent link to this record

https://cired-repository.org/handle/20.500.12455/403
http://dx.doi.org/10.34890/633

ISSN

2032-9644

ISBN

978-2-9602415-0-1