基于半监督综合剪枝算法的变电站电动汽车群柔性充电控制算法

2023 4th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT) Pub Date : 2023-06-16 DOI:10.1109/AINIT59027.2023.10212810

Rongzhi Sun, Bingyin Lei, Ouyang Qiang, Yumeng Zhao

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引用次数: 0

摘要

电动汽车柔性充电输出功率波动控制性能差，会降低电动汽车的充电传输效率。为了提高输出功率的稳定性，提出了一种基于半监督集成剪枝算法的平台区域电动汽车柔性充电控制算法。拟合温度与电池容量的关系，分析平台区域电动汽车柔性充电的有功功率，构建平台区域电动汽车柔性充电负荷模型;根据该模型，调整柔性充电的稳定状态，实现电动汽车群的柔性充电控制。实验结果表明，所提算法的控制性能较强，充电站区域电动汽车群柔性充电过程的有功负荷值接近预期功率负荷值。

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Flexible Charging Control Algorithm of Electric Vehicle Group in Substation Based on Semi-Supervised Integrated Pruning Algorithm

Poor control performance of flexible charging output power fluctuation of electric vehicles will reduce the charging transmission efficiency of electric vehicles. In order to improve the stability of output power, a flexible charging control algorithm for electric vehicles in the platform area based on semi-supervised integrated pruning algorithm is proposed. Fitting the relationship between temperature and battery capacity, analyzing the active power of flexible charging of electric vehicles in the platform area, and constructing the flexible charging load model of electric vehicles in the platform area; According to this model, the stable state of flexible charging is adjusted, and the flexible charging control of electric vehicle group is realized. The experimental results show that the control performance of the proposed algorithm is strong, and the active power load value of the flexible charging process of the electric vehicle group in the station area is close to the expected power load value.

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来源期刊

2023 4th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT)

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