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Energy management and switching control of PHEV charging stations in a hybrid smart micro-grid system

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URI: http://hdl.handle.net/10498/33080

DOI: 10.3390/electronics7090156

ISSN: 2079-9292

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Author/s
Kamal, Tariq; Karabacak, Murat; Hassan, Syed Zulqadar; Fernández Ramírez, Luis MiguelAuthority UCA; Riaz, Muhammad Hussnain; Riaz, Muhammad Tanveer; Khan, Muhammad Abbas; Khan, Laiq
Date
2018
Department
Ingeniería Eléctrica
Source
Electronics (Switzerland) - 2018, Vol. 7 n. 9 pp. 1-17
Abstract
In this study, the energy management and switching control of plug-in hybrid electric vehicles (PHEVs) in a hybrid smart micro-grid system was designed. The charging station in this research consists of real market PHEVs of different companies with different sizes. The rate of charging of PHEVs is managed via switching control to receive maximum benefits from renewable energy sources and reduce the consumption of electricity from the grid. To support the optimum utilization of sustainable power, charging time and network stability, seven scenarios were developed for different interaction among the proposed micro-grid system and PHEVs. The proposed hybrid smart micro-grid system consists of three renewable energy sources: photovoltaic (PV) array controlled via an intelligent fuzzy control maximum power point subsystem, a fuel cell stack and a microturbine set controlled by proportional integral differential/proportional integral subsystems. A hybrid energy storage system (super-capacitor, battery storage bank and hydrogen) and residential load are also included in the proposed architecture. The hybrid smart micro-grid system is checked in terms of voltage regulation, frequency deviation and total harmonic distortion (THD). It was found that these are in limits according to the international standards. The simulations verify the feasibility of the proposed system and fulfill the requirement of vehicle-to-grid and grid-to-vehicle operations in a smart grid environment.
Subjects
plug-in hybrid electric vehicles; power management system; renewable energy sources; fuzzy; smart micro-grid
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  • Artículos Científicos [11595]
  • Articulos Científicos Ing. Elec. [76]
Attribution 4.0 Internacional
This work is under a Creative Commons License Attribution 4.0 Internacional

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