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Name pinyin
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0809 电子科学与技术
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08 工学
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As a new type of transportation, electric vehicles have been more and more popular in the world. Compared with traditional cars, electric vehicles can not only reduce carbon emissions, but also reduce society's dependence on fossil energy. Electric vehicle charging stations with flexible charging capabilities are now a common infrastructure in most cities. Electric vehicle charging has the characteristics of randomness in time and space distribution. Large-scale electric vehicle disorderly charging not only greatly increases the load of the power system, but also leads to voltage reduction, frequency instability, and increased line loss in some feeder nodes, resulting in grid operation. stability and security are threatened. Reconstructing the power management architecture of the traditional charging station in the form of a microgrid is of great significance for realizing the efficient integration of renewable energy, orderly charging and discharging management of electric vehicles, and economical and grid-friendly operation of the site. This paper studies the new power network architecture, control management system and optimal scheduling method of electric vehicle charging stations. Specifically completed the following work:

This paper proposes a charging station architecture based on energy routing units for AC/DC hybrid microgrid charging stations including renewable energy access. The architecture has the characteristics of integration, multiple plug-and-play interfaces, and high power supply reliability. The architecture proposes a hierarchical control strategy for the system, which implements short-time-scale control of the associated converter units at the local control level. In the energy flow scheduling layer, a real-time energy flow scheduling strategy is proposed, which can effectively improve the photovoltaic consumption and realize the energy complementation of the AC and DC sub-networks.

Based on the proposed charging station microgrid architecture, a mathematical model is established with the minimum charging cost of the electric vehicle charging station and the minimum peak-to-valley difference of the grid net load as the dual optimization objectives, and fully considers the electric vehicle discharge battery loss and photovoltaic local consumption. And fully tap the potential of electric vehicle auxiliary services. The optimization result verifies the economical and grid-friendly operation of the established model and scheduling algorithm, which realizes the power mutual assistance between vehicles and between the AC sub-network and the DC sub-network.

Finally, for the vehicle network energy management, a smart charging pile Internet energy management architecture and scheduling algorithm are proposed. The characteristic of this architecture is that each charging pile is equipped with corresponding computing and storage units, which can realize the distributed scheduling optimization of vehicle-network energy interaction, and realize the local storage and local utilization of sensitive information of electric vehicle users, avoiding the risk of information leakage. Relevant high-efficiency algorithms are designed to improve the capacity of photovoltaic absorption and load peak-shaving and valley-filling, and voltage regulation and control are applied to ensure the stability of the power grid. Simulation experiments show the effectiveness and high computational efficiency of the proposed architecture and scheduling algorithm.

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References List

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刘曼. 基于能量路由器的交直流混合电动汽车充电站能量管理[D]. 深圳. 南方科技大学,2022.
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