Power Flow Management and Control of Energy Storage System for Electric Vehicles in Smart Girds | ||||
| ERJ. Engineering Research Journal | ||||
| Article 2, Volume 44, Issue 3, July 2021, Page 263-271 PDF (1.27 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/erjm.2021.60370.1079 | ||||
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| Authors | ||||
Adel Abou El-Ela1; Dina Gado   2; Tamer Fetouh1; Arafa Mansour1; Sahar Moussa2
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| 1Department of Electrical Engineering, Faculty of Engineering, Menoufia University, Shebin ElKom, Egypt | ||||
| 2Department of Electrical Engineering, Faculty of Engineering, Pharos University, in Alexandria, Egypt | ||||
| Abstract | ||||
| Electric vehicles (EVs) have a huge development, which lead to decrease the fuel consumptions, emissions, and help in keeping the environment clean but, this development has an impact on distribution systems operation in case of the plug-in electric vehicles (PEVs) which may not well managed. Subsequently, it is critical to select the ideal charging/discharging methods. A fuzzy logic controller (FLC) system is proposed to decide the charging/discharging priority level of each electric vehicle (EV) based on the associated state-of-charge (SOC) level of the battery. The fuzzy logic controller is utilized to control the electric vehicle (EV) charging/discharging process to achieve the benefits of the electricity network and electric vehicles (EVs) owners, as well. The benefit of the electricity network is related to improving the voltage profile. A 24-hour simulation of a Vehicle-to-Grid (V2G) System is chosen as a case study in this paper to execute simulations. The methodology based on hybrid electric vehicles (HEVs). The power flow control and the Powertrain component sizing are emphatically related to their design will significantly influence the vehicle performance, cost, efficiency, and fuel economy. Subsequently, it is essential to evaluate the power flow management methodology at the Powertrain design stage in order to minimize component sizing, cost, and the vehicle fuel consumption for a given driving cycle. The simulation results show the effectiveness of the fuzzy logic controller strategy for hybrid energy storage in distributing power flow between the ultra-capacitors and the batteries. | ||||
| Keywords | ||||
| Voltage Distribution System; Electric Vehicles; Plug-in Categories; Smart grid; Fuzzy Logic Controller | ||||
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