DOI:10.1007/s40565-018-0411-7 |
| |
| |
Predictive control of plug-in electric vehicle chargers with photovoltaic integration |
| |
|
| |
Page view: 0
Net amount: 729 |
| |
Author:
Adrian Soon Theam TAN1, Dahaman ISHAK1, Rosmiwati MOHD-MOKHTAR1, Sze Sing LEE2, Nik Rumzi Nik IDRIS3
|
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
|
Foundation: |
This work was supported by Malaysian Ministry
of Higher Education (MOHE) (No. FRGS/1/2015/TK10/USMC/
03/1). |
|
|
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. |
Keywords: |
Plug-in electric vehicles, Electric vehicle
charger, Photovoltaic generation, Model predictive control |
| |
Online Time:2018/11/11 |
| |
|
|
View Full Text
Download reader
|
|
|