一种改进MPPT的四级充电控制策略
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太原科技大学

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TM615;TP18;TN713

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黄花菜智能采摘机器人关键技术研究及应用示范


Research on Four-level Charging Control Strategy Based on Improved MPPT Algorithm
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    摘要:

    针对传统蓄电池三级充电方式存在的功率输入不稳定、随机性大的问题,本次研究提出一种基于扰动观察法(POM)的变步长扰动观察法的最大功率点追踪(VSS-POM-MPPT)算法与四级充电算法相结合的光伏储能充电控制策略。通过搭建光伏模型,对VSS-POM与POM的最大功率点追踪(MPPT)的跟踪速度进行对比,同时以稳压精度和稳流精度作为光伏电池为蓄电池充电时的性能评价指标。完成基于VSS-POM-MPPT算法的控制器程序设计,进行光伏电池向蓄电池充电实验验证。实验结果表明,VSS-POM-MPPT相较于POM-MPPT在追踪到最大功率点时的用时减少了0.008s,速度提升了24.3%;实验记录的蓄电池充电数据与本研究设计的充电算法一致,稳压精度和稳流精度分别为±0.4%、±0.8%,满足电力行业标准即±(0.5%-1%)、±(1%-2%)。

    Abstract:

    Aiming at the problem of unstable and random power input in the traditional three-stage charging method of battery, this study proposes a photovoltaic energy storage charging control strategy based on the maximum power point tracking ( VSS-POM-MPPT ) algorithm of variable step perturbation observation method based on perturbation observation method ( POM ) and the four-stage charging algorithm. By building a photovoltaic model, the tracking speed of maximum power point tracking ( MPPT ) of VSS-POM and POM is compared. At the same time, the voltage stabilization accuracy and current stabilization accuracy are used as the performance evaluation indexes of photovoltaic cells for battery charging. The controller program design based on VSS-POM-MPPT algorithm is completed, and the charging experiment of photovoltaic cell to battery is carried out. The experimental results show that the time of VSS-POM-MPPT is 0.008 s less than that of POM-MPPT when tracking the maximum power point, and the speed is increased by 24.3 %. The battery charging data recorded in the experiment is consistent with the charging algorithm designed in this study. The voltage stabilization accuracy and current stabilization accuracy are ± 0.4 % and ± 0.8 %, respectively, which meet the power industry standards of ± ( 0.5 % -1 % ) and ± ( 1 % -2 % ).

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  • 收稿日期:2024-10-21
  • 最后修改日期:2024-12-02
  • 录用日期:2024-12-03
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