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    Impact of electric vehicle charging profiles in data-driven framework on distribution network
    (Institute of Electrical and Electronics Engineers Inc., 2021) Akil, Murat; Dokur, Emrah; Bayındır, Ramazan
    In the field of transportation and energy production, Electric Vehicles (EVs) with rechargeable property is encouraged to using in many countries against carbon emissions. EVs are produced with different charging rate and energy capacity in last years. The uncertainties of EVs and EV users show the negative effects of charging at times of bulk charging on the grid. A successful distribution network operator has the option to charge EVs, which are increasing day by day with new investments in infrastructure and other equipment. However, new investments do not please both EV users and charging service providers in terms of cost and time. In this paper, the power management with the SOC-based coordinated charging method, which enable dynamic charging of EVs using real data-driven charging profiles, was proposed in the existed grid infrastructure. Firstly, 30 different EV types in 50 EV charging units connected to added between Bus 35 and Bus 36 in the Roy Billinton Bus-2 Test System. The coordinated charging method was compared with the uncoordinated charging method in terms of grid drawn active power at peak time and line loading. Secondly, peak load conditions of the grid were reduced with the integration of photovoltaic (PV) generation and battery energy storage (BES) system to the relevant bus on the test system. In addition, energy efficiency in terms of line loading has been demonstrated according to the uncoordinated charging method of the proposed coordinated charging approach.
  • Küçük Resim
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    The soc based dynamic charging coordination of evs in the pv-penetrated distribution network using real-world data
    (MDPI, 2021) Akil, Murat; Dokur, Emrah; Bayındır, Ramazan
    A successful distribution network can continue to operate despite the uncertainties at the charging station, with appropriate equipment retrofits and upgrades. However, these new investments in the grid can become complex in terms of time and space. In this paper, we propose a dynamic charge coordination (DCC) method based on the battery state of charge (SOC) of electric vehicles (EVs) in line with this purpose. The collective uncoordinated charging profiles of EVs charged at maximum power were investigated based on statistical data for distances of EVs and a real dataset for charging characteristics in the existing grid infrastructure. The proposed strategy was investigated using the modified Roy Billinton Test System (RBTS) performed by DIgSILENT Powerfactory simulation software for a total 50 EVs in 30 different models. Then, the load balancing situations were analyzed with the integration of the photovoltaic (PV) generation and battery energy storage system (BESS) into the bus bars where the EVs were fed into the grid. According to the simulation results, the proposed method dramatically reduces the effects on the grid compared to the uncoordinated charging method. Furthermore, the integration of PV and BESS system, load balancing for EVs was successfully achieved with the proposed approach.