Journal of Modern Power Systems and Clean Energy

ISSN 2196-5625 CN 32-1884/TK

Predictive control of plug-in electric vehicle chargers with photovoltaic integration
Author:
Affiliation:

1. School of Electrical and Electronic Engineering, Universiti Sains Malaysia, 14300 Nibong Tebal, Penang, Malaysia 2. University of Southampton Malaysia Campus, Nusajaya, Johor, Malaysia 3. UTM-PROTON Future Drive Laboratory, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia

Fund Project:

This work was supported by Malaysian Ministry of Higher Education (MOHE) (No. FRGS/1/2015/TK10/USMC/ 03/1).

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    Abstract:

    This paper presents a model predictive control (MPC) for off-board plug-in electric vehicle (PEV) chargers with photovoltaic (PV) integration using two-level four-leg inverter topology. The PEV charger is controlled by a unified controller that incorporates direct power and current MPC to dynamically control decoupled active-reactive power flow in a smart grid environment as well as to control PEV battery charging and discharging reliably. PV power generation with maximum power tracking is seamlessly integrated with the power flow control to provide additional power generation. Fast dynamic response and good steady-state performance under all power flow modes and various environmental conditions are evaluated and analyzed. From the results obtained, the charger demonstrates less than 1.5% total harmonic distortion as well as low active and reactive power ripple of less than 7% and 8% respectively on the grid for all power flow modes. The PEV battery also experiences a low charging and discharging current ripple of less than 2.5%. Therefore, the results indicate the successful implementation of the proposed charger and its control for PV integrated offboard PEV chargers.

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History
  • Received:
  • Revised:
  • Adopted:
  • Online: November 11,2018
  • Published: