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Energy Management and Control of Plug-In Hybrid Electric Vehicle Charging Stations in a Grid-Connected Hybrid Power System

Sidra Mumtaz, Saima Ali, Saghir Ahmad, Laiq Khan, Syed Zulqadar Hassan and Tariq Kamal
Additional contact information
Sidra Mumtaz: Department of Electrical Engineering, COMSATS Institute of Information Technology, Abbottabad 22060, Pakistan
Saima Ali: Department of Electrical Engineering, COMSATS Institute of Information Technology, Abbottabad 22060, Pakistan
Saghir Ahmad: Department of Electrical Engineering, COMSATS Institute of Information Technology, Abbottabad 22060, Pakistan
Laiq Khan: Department of Electrical Engineering, COMSATS Institute of Information Technology, Abbottabad 22060, Pakistan
Syed Zulqadar Hassan: Department of Power System and Its Automation, Chongqing University, Chongqing 400044, China
Tariq Kamal: Department of Electrical and Electronics Engineering, Faculty of Engineering, Sakarya University, Serdivan/Sakarya 54050, Turkey

Energies, 2017, vol. 10, issue 11, 1-21

Abstract: The charging infrastructure plays a key role in the healthy and rapid development of the electric vehicle industry. This paper presents an energy management and control system of an electric vehicle charging station. The charging station ( CS ) is integrated to a grid-connected hybrid power system having a wind turbine maximum power point tracking ( MPPT ) controlled subsystem, photovoltaic ( PV ) MPPT controlled subsystem and a controlled solid oxide fuel cell with electrolyzer subsystem which are characterized as renewable energy sources. In this article, an energy management system is designed for charging and discharging of five different plug-in hybrid electric vehicles ( PHEVs ) simultaneously to fulfil the grid-to-vehicle ( G2V ), vehicle-to-grid ( V2G ), grid-to-battery storage system ( G2BSS ), battery storage system-to-grid ( BSS2G ), battery storage system-to-vehicle ( BSS2V ), vehicle-to-battery storage system ( V2BSS ) and vehicle-to-vehicle ( V2V ) charging and discharging requirements of the charging station. A simulation test-bed in Matlab/Simulink is developed to evaluate and control adaptively the AC-DC-AC converter of non-renewable energy source, DC-DC converters of the storage system, DC-AC grid side inverter and the converters of the CS using adaptive proportional-integral-derivate ( AdapPID ) control paradigm. The effectiveness of the AdapPID control strategy is validated through simulation results by comparing with conventional PID control scheme.

Keywords: renewable energy; hybrid power system; charging station; PHEVs; adaptive PID (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: 2017
References: Add references at CitEc
Citations: View citations in EconPapers (11)

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