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

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 dynamicall...

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Main Authors: Tan, A. S. T., Ishak, D., Mohd. Mokhtar, R., Lee, S. S., Idris, N. R. N.
Format: Article
Language:English
Published: Springer Heidelberg 2018
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/79661/1/NikRumziNikIdris2018_PredictiveControlofPlugInElectricVehicle.pdf
http://eprints.utm.my/id/eprint/79661/
http://dx.doi.org/10.1007/s40565-018-0411-7
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spelling my.utm.796612019-01-28T04:58:31Z http://eprints.utm.my/id/eprint/79661/ Predictive control of plug-in electric vehicle chargers with photovoltaic integration Tan, A. S. T. Ishak, D. Mohd. Mokhtar, R. Lee, S. S. Idris, N. R. N. TK Electrical engineering. Electronics Nuclear engineering 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 off-board PEV chargers. Springer Heidelberg 2018 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/79661/1/NikRumziNikIdris2018_PredictiveControlofPlugInElectricVehicle.pdf Tan, A. S. T. and Ishak, D. and Mohd. Mokhtar, R. and Lee, S. S. and Idris, N. R. N. (2018) Predictive control of plug-in electric vehicle chargers with photovoltaic integration. Journal of Modern Power Systems and Clean Energy, 6 (6). pp. 1264-1276. ISSN 2196-5625 http://dx.doi.org/10.1007/s40565-018-0411-7 DOI:10.1007/s40565-018-0411-7
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Tan, A. S. T.
Ishak, D.
Mohd. Mokhtar, R.
Lee, S. S.
Idris, N. R. N.
Predictive control of plug-in electric vehicle chargers with photovoltaic integration
description 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 off-board PEV chargers.
format Article
author Tan, A. S. T.
Ishak, D.
Mohd. Mokhtar, R.
Lee, S. S.
Idris, N. R. N.
author_facet Tan, A. S. T.
Ishak, D.
Mohd. Mokhtar, R.
Lee, S. S.
Idris, N. R. N.
author_sort Tan, A. S. T.
title Predictive control of plug-in electric vehicle chargers with photovoltaic integration
title_short Predictive control of plug-in electric vehicle chargers with photovoltaic integration
title_full Predictive control of plug-in electric vehicle chargers with photovoltaic integration
title_fullStr Predictive control of plug-in electric vehicle chargers with photovoltaic integration
title_full_unstemmed Predictive control of plug-in electric vehicle chargers with photovoltaic integration
title_sort predictive control of plug-in electric vehicle chargers with photovoltaic integration
publisher Springer Heidelberg
publishDate 2018
url http://eprints.utm.my/id/eprint/79661/1/NikRumziNikIdris2018_PredictiveControlofPlugInElectricVehicle.pdf
http://eprints.utm.my/id/eprint/79661/
http://dx.doi.org/10.1007/s40565-018-0411-7
_version_ 1643658256583753728
score 13.251813

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