Published January 1, 2018 | Version v1
Journal article Open

Energy Management and Switching Control of PHEV Charging Stations in a Hybrid Smart Micro-Grid System

  • 1. Sakarya Univ, Dept Elect & Elect Engn, TR-54050 Sakarya, Turkey
  • 2. Chongqing Univ, Sch Elect Engn, State Key Lab Power Transmiss Equipment & Syst Se, Chongqing 400044, Peoples R China
  • 3. Univ Cadiz, Dept Elect Engn, Res Grp Elect Technol Sustainable & Renewable Ene, Higher Polytech Sch Algeciras, Algeciras 11202, Cadiz, Spain
  • 4. Lahore Univ Management Sci, Dept Elect Engn, Lahore 54792, Pakistan
  • 5. Changchun Univ Sci & Technol, Sch Elect & Informat Engn, Changchun 130022, Jilin, Peoples R China
  • 6. COMSATS Inst Informat Technol, Dept Elect Engn, Abbottabad 22060, Pakistan

Description

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.

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