Model predictive control of the AC voltage of an electric-vehicle charging station with ESS

Dae Jin Kim, Young Il Lee

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

With the recent rapid expansion of electric vehicles, a large number of Electric Vehicle Supply Equipment (EVSE) have been installed. As a result, the impact of EV chargers on the power system is being significantly increased. In particular, the EVSE connected to the distribution network line may act as a peak load, which can adversely affect the voltage stability of the distribution network system when the electric vehicle is quickly charged. In this paper, a Model Predictive Control (MPC) algorithm with disturbance observer (DOB) is proposed for stabilizing voltage of EVs Charging Station which is composed of EV chargers, Photovoltaic (PV), Energy Storage System (ESS) and Loads. The proposed DOB estimate the sum of total current which is the source of voltage fluctuations due to line impedance in the EV charging station. The grid voltage remains stable under the various operating condition including the extreme scenarios by proposed methods. Simulations are performed by means of MATLAB/SIMULINK and result shows the effectiveness of the proposed DOB and MPC control scheme.

Original languageEnglish
Pages (from-to)12578-12583
Number of pages6
JournalIFAC-PapersOnLine
Volume53
Issue number2
DOIs
StatePublished - 2020
Event21st IFAC World Congress 2020 - Berlin, Germany
Duration: 12 Jul 202017 Jul 2020

Keywords

  • ESS
  • EV
  • EV charging station
  • Model predictive control
  • Voltage control

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