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ANFIS Controlled Grid Connected Electric Vehicle Charging Station Using PV Source

机译:利用光伏电源的ANFIS控制的并网电动汽车充电站

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This paper provides an insight of electric vehicle charging station which is supplied by three sources grid, photovoltaic system (PVS) and battery energy system (BES), and this system works in both conditions like shore and offshore. Power grid, equipped with an AC/DC converter supplies a continuous and constant power to EV charging station through a DC/DC converter. BES used as a buffer by storing excessive energy at light load conditions and supplying it when needed. Control unit enables the bi-directional DC/DC converter for charging and discharging. Adaptive neuro fuzzy inference system (ANFIS) is used in control unit which improves the performance of the converters. MPPT (maximum power point tracking) technique is used to get the appropriate pulses for DC/DC converter to extract the maximum output power from PVS at different conditions. The proposed system is simulated in MATLAB/SIMULINK environment and results are discussed to validate the system.
机译:本文提供了由三个来源的电网,光伏系统(PVS)和电池能源系统(BES)提供的电动汽车充电站的见解,该系统可在岸上和海上两种条件下工作。配备有AC / DC转换器的电网通过DC / DC转换器向EV充电站提供连续且恒定的功率。 BES通过在轻负载条件下存储过多的能量并在需要时提供能量来用作缓冲区。控制单元启用双向DC / DC转换器进行充电和放电。自适应神经模糊推理系统(ANFIS)用于控制单元,可提高转换器的性能。 MPPT(最大功率点跟踪)技术用于为DC / DC转换器获取适当的脉冲,以在不同条件下从PVS提取最大输出功率。在MATLAB / SIMULINK环境中对提出的系统进行了仿真,并讨论了结果以验证系统。

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