Intelligent Control of Converter for Electric Vehicles Charging Station
Mayank Jha,
Frede Blaabjerg,
Mohammed Ali Khan,
Varaha Satya Bharath Kurukuru and
Ahteshamul Haque
Additional contact information
Mayank Jha: Department of Electrical Engineering, Jamia Millia Islamia, New Delhi 110025, India
Frede Blaabjerg: Department of Energy Technology, Aalborg University, Aalborg 9220, Denmark
Mohammed Ali Khan: Department of Electrical Engineering, Jamia Millia Islamia, New Delhi 110025, India
Varaha Satya Bharath Kurukuru: Department of Electrical Engineering, Jamia Millia Islamia, New Delhi 110025, India
Ahteshamul Haque: Department of Electrical Engineering, Jamia Millia Islamia, New Delhi 110025, India
Energies, 2019, vol. 12, issue 12, 1-25
Abstract:
Electric vehicles (EVs) are envisaged to be the future transportation medium, and demonstrate energy efficiency levels much higher than conventional gasoline or diesel-based vehicles. However, the sustainability of EVs is only justified if the electricity used to charge these EVs is availed from a sustainable source of energy and not from any fossil fuel or carbon generating source. In this paper, the challenges of the EV charging stations are discussed while highlighting the growing use of distributed generators in the modern electrical grid system. The benefits of the adoption of photovoltaic (PV) sources along with battery storage devices are studied. A multiport converter is proposed for integrating the PV, charging docks, and energy storage device (ESD) with the grid system. In order to control the bidirectional flow between the generating sources and the loads, an intelligent energy management system is proposed by adapting particle swarm optimization for efficient switching between the sources. The proposed system is simulated using MATLAB/Simulink environment, and the results depicted fast switching between the sources and less switching time without obstructing the fast charging to the EVs.
Keywords: Grid Connected Photovoltaic Systems (GCPVS); Energy Storage Device (ESD); Electric Vehicle (EV); Multiport Converter (MPC); Intelligent Energy Management System (iEMS) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (7)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:12:y:2019:i:12:p:2334-:d:240927
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