Electric Vehicle Fast-Charging Station Unified Modeling and Stability Analysis in the dq Frame
Xiang Wang,
Zhengyou He and
Jianwei Yang
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Xiang Wang: School of Electric Engineering, Southwest Jiaotong University, Chengdu 611756, China
Zhengyou He: School of Electric Engineering, Southwest Jiaotong University, Chengdu 611756, China
Jianwei Yang: School of Electric Engineering, Southwest Jiaotong University, Chengdu 611756, China
Energies, 2018, vol. 11, issue 5, 1-24
Abstract:
The electric vehicle fast-charging station is an important guarantee for the popularity of electric vehicle. As the fast-charging piles are voltage source converters, stability issues will occur in the grid-connected fast-charging station. Since the dynamic input admittance of the fast-charging pile and the dynamic output impedance play an important role in the interaction system stability, the station and grid interaction system is regarded as load-side and source-side sub-systems to build the dynamic impedance model. The dynamic input admittance in matrix form is derived from the fast-charging pile current control loop considering the influence of the LC filter. Similarly, the dynamic output impedance can be obtained similarly by considering the regional power grid capacity, transformer capacity, and feed line length. On this basis, a modified forbidden region-based stability criterion is used for the fast-charging station stability analysis. The frequency-domain case studies and time-domain simulations are presented next to show the influence of factors from both the power grid side and fast-charging pile side. The simulation results validated the effectiveness of the dq frame impedance model and the stability analysis method.
Keywords: grid; fast-charging station; interaction stability; current control loop; impedance modeling; input admittance model; output impedance model; stability criterion (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (5)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:11:y:2018:i:5:p:1195-:d:145275
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