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

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

Electric vehicle charger, Model predictive control, Photovoltaic generation, Plug-in electric vehicles
2196-5625
1264-1276
Tan, Adrian Soon Theam
2f1536e0-9cf7-49ba-bea5-3889400bde03
Ishak, Dahaman
6d062aed-a30b-4ccf-9fc5-da6b449edfaa
Mohd-Mokhtar, Rosmiwati
1e97bd75-2335-4cc5-bd17-8164cf99c956
Lee, Sze Sing
47f36964-db27-4f5e-a4d3-4b0ba78ce29e
Idris, Nik Rumzi Nik
45b54a20-e821-402c-9ac9-fcd9e82e3598
Tan, Adrian Soon Theam
2f1536e0-9cf7-49ba-bea5-3889400bde03
Ishak, Dahaman
6d062aed-a30b-4ccf-9fc5-da6b449edfaa
Mohd-Mokhtar, Rosmiwati
1e97bd75-2335-4cc5-bd17-8164cf99c956
Lee, Sze Sing
47f36964-db27-4f5e-a4d3-4b0ba78ce29e
Idris, Nik Rumzi Nik
45b54a20-e821-402c-9ac9-fcd9e82e3598

Tan, Adrian Soon Theam, Ishak, Dahaman, Mohd-Mokhtar, Rosmiwati, Lee, Sze Sing and Idris, Nik Rumzi Nik (2018) Predictive control of plug-in electric vehicle chargers with photovoltaic integration. Journal of Modern Power Systems and Clean Energy, 6 (6), 1264-1276. (doi:10.1007/s40565-018-0411-7).

Record type: Article

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 off-board PEV chargers.

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e-pub ahead of print date: 9 May 2018
Keywords: Electric vehicle charger, Model predictive control, Photovoltaic generation, Plug-in electric vehicles

Identifiers

Local EPrints ID: 433517
URI: http://eprints.soton.ac.uk/id/eprint/433517
ISSN: 2196-5625
PURE UUID: ea6302a3-751a-4429-ae93-cb1823912894
ORCID for Sze Sing Lee: ORCID iD orcid.org/0000-0003-2455-5783

Catalogue record

Date deposited: 27 Aug 2019 16:30
Last modified: 07 Oct 2020 00:45

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Contributors

Author: Adrian Soon Theam Tan
Author: Dahaman Ishak
Author: Rosmiwati Mohd-Mokhtar
Author: Sze Sing Lee ORCID iD
Author: Nik Rumzi Nik Idris

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