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Load power smoothing control of distribution network including photovoltaic generation with energy storage from electric vehicles

机译:包括光伏发电和电动汽车储能在内的配电网络的负载功率平滑控制

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The penetration of the distributed photovoltaic (PV) has caused inevitable power fluctuations in the distribution network. The traditional generators can hardly respond to the rapid load power fluctuations. With the development of the vehicle-to-grid (V2G) technology, the aggregated electric vehicles (EVs) are able to operate as an energy storage system (ESS) to follow the rapid power fluctuations. Thus it is critical to obtain the maximum energy storage capacity of aggregated EVs and propose an effective smoothing control strategy for the coordinated power control of EVs when responding to the power fluctuations. To solve this problem, based on the maximum operation area of an individual EV considering the travelling behaviors, the response parameters of the aggregated EVs, such as the total exchanged power, the response capacity of the total exchanged power, the energy storage capacity and the SOC value, are defined to describe the energy storage characteristics of the aggregated EVs. Then a load power smoothing control strategy is proposed to smooth the load power fluctuations of the distribution network. The required power change is determined by evaluating the power fluctuation rate of the load, and then the required power change is allocated to each EV based on a developed SOC-adaptive method. The simulation results show that the aggregated EVs are able to decrease power fluctuation rate of the load and the travelling comfort levels of EV users are guaranteed with the SOC-adaptive method.
机译:分布式光伏(PV)的渗透已导致配电网络中不可避免的功率波动。传统发电机几乎无法应对快速的负载功率波动。随着车辆到电网(V2G)技术的发展,聚合的电动汽车(EV)能够作为能量存储系统(ESS)进行操作,以跟随快速的功率波动。因此,至关重要的是要获得聚合电动汽车的最大储能能力,并提出一种有效的平滑控制策略,以便在响应功率波动时对电动汽车进行协调功率控制。为了解决这个问题,基于考虑行驶行为的单个电动汽车的最大工作区域,汇总电动汽车的响应参数,例如总交流功率,总交流功率的响应能力,储能能力和能量消耗。定义SOC值来描述汇总的EV的储能特性。然后提出了一种负载功率平滑控制策略,以平滑配电网络的负载功率波动。通过评估负载的功率波动率来确定所需的功率变化,然后根据已开发的SOC自适应方法将所需的功率变化分配给每个EV。仿真结果表明,采用SOC自适应方法,聚集的EV能够降低负载的功率波动率,并确保EV用户的行驶舒适度。

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