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Photovoltaic Array Maximum Power Point Tracking Based on Improved Perturbation and Observation Method

机译:基于改进摄动和观测方法的光伏阵列最大功率点跟踪

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The output characteristics of photovoltaic cells are strong non-linearity, and maximum power point tracking technology can improve the efficiency of photovoltaic systems. Based on improved perturbation and observation method, this paper takes the advantages of both long and small steps to realize the maximum power tracking of the photovoltaic system. Firstly, the absolute value of the real-time power rate of change is used as a reference for the automatic variable step size, and the maximum power is quickly tracked with a large step when the external conditions change. Then, after reaching the maximum power point, the system automatically becomes a small step to reduce the power oscillation loss. Finally, average calculation module is added to the power sampling to reduce the impact of clutter on the system and prevent the "sharp peak" of power. The results of the maximum power point tracking example show that the model has significantly improved the tracking speed of the maximum power point and the range of oscillation near the maximum power point.
机译:光伏电池的输出特性具有很强的非线性度,最大功率点跟踪技术可以提高光伏系统的效率。基于改进的摄动和观测方法,本文利用长步和小步的优点来实现光伏系统的最大功率跟踪。首先,实时功率变化率的绝对值用作自动可变步长的参考,并且当外部条件变化时,可以大步长快速跟踪最大功率。然后,在达到最大功率点之后,系统会自动变为一小步,以减少功率振荡损耗。最后,将平均计算模块添加到功率采样中,以减少混乱对系统的影响并防止功率的“尖峰”。最大功率点跟踪示例的结果表明,该模型显着提高了最大功率点的跟踪速度以及最大功率点附近的振荡范围。

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