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Integration of Electric Vehicles as Smart Loads for Demand Side Management in Medium Voltage Distribution Network

机译:电动汽车作为智能负载的集成,用于中压配电网的需求侧管理

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The distributed solar generation possess the potential to overcome the energy deficit in a power system network. However, its high penetration reshapes the system's power flow and causes high fluctuations in voltages and frequency. To overcome the uncertainty and variability issues faced by the solar systems, storage plays a vital role. In this paper, Electric Vehicles (EVs) are used as a Demand Side Management (DSM) tool to mitigate the solar fluctuations. The behaviour of EV's battery to act as a load/source is controlled by three parameters; State of Charge (SoC), output power from PV and system's voltage. Different scenarios have been analysed on a 2MW distributed solar generation system integrated with an IEEE-33 bus radial network using MATLAB/Simulink. The results show that the over/under voltage conditions are mitigated and excess energy generated is utilized effectively by using EVs as a DSM tool.
机译:分布式太阳能发电具有克服电力系统网络中能量不足的潜力。但是,它的高穿透力会重塑系统的功率流,并导致电压和频率出现较大波动。为了克服太阳系面临的不确定性和可变性问题,存储起着至关重要的作用。在本文中,将电动汽车(EV)用作需求侧管理(DSM)工具,以缓解太阳能波动。 EV电池充当负载/电源的行为受三个参数控制;充电状态(SoC),光伏输出功率和系统电压。使用MATLAB / Simulink,在与IEEE-33总线辐射状网络集成的2MW分布式太阳能发电系统上,分析了不同的情况。结果表明,通过将电动汽车用作DSM工具,可以缓解过压/欠压条件,并有效地利用产生的多余能量。

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