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Fuzzy Based Energy Management System for a Micro-grid with a V2G Parking Lot

机译:具有V2G停车场的微电网的模糊能量管理系统

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A fuzzy based intelligent energy management system (EMS) to utilize electric vehicle (EV) batteries for energy storage services in a micro-grid is proposed in this paper. A dc fast charging station is used to interconnect EVs to the micro-grid. The fuzzy logic controller determines the energy available with each EV to participate in vehicle-to-grid (V2G) and grid-to-vehicle (G2V) services, based on the battery state of charge, rated capacity and time remaining for departure of each EV. The EMS algorithm then allocates the balance power in the micro-grid to the available EV batteries without impairing the owner's driving needs. Different case studies have been simulated in MATLAB/SIMULINK environment by varying the load, generation and number of EVs available at the parking lot. The obtained results verify the effectiveness of the proposed approach in maintaining an optimal power balance in the system under different operating conditions.
机译:本文提出了一种利用电动车辆(EV)电池的基于模糊的智能能量管理系统(EMS),用于在微电网中进行高栅格的能量存储服务。 DC快速充电站用于将EVS互连到微网格。模糊逻辑控制器根据电池的充电状态,额定容量和时间留下,每个EV参加车辆到网格(V2G)和电网到车辆(G2V)服务的能量。 EV。然后,EMS算法将微网格中的余量分配给可用的EV电池,而不会损害所有者的驾驶需求。通过在停车场上可用的载荷,发电和数量的负载,生成和数量来模拟Matlab / Simulink环境中的不同案例研究。所获得的结果验证了所提出的方法在不同操作条件下在系统中保持最佳功率平衡的有效性。

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