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Improved variable step size PO MPPT algorithm for PV systems

机译:光伏系统的改进的可变步长P&O MPPT算法

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Algorithms for the maximum power point tracking MPP (Maximum Power Point), seek to maximize the delivered power of a photovoltaic panel. The Perturb and Observe (P&O) algorithm is the more used due to simplicity, however it is not the most efficient due to the perturbation step is fixed, at higher the size step fastest the MPP will be reached, but there would be a high steady state error; if the size step is low there would be less steady state error, but the MPP tracking became slow. Other well know method is the algorithm of Conductance Incremental (IC), in this method the step depends of the power variation versus the voltage. The variable step for P&O is more efficient for short atmospheric variations with less oscillations in the tracking and the variable step for CI is more efficient for big atmospheric variations with a fast MPP tracking. In this paper the 2 methods are combine to reduce oscillations and for a fast tracking for big and short irradiance variations.
机译:用于跟踪最大功率点MPP(最大功率点)的算法,力求使光伏面板的输出功率最大化。由于简单,Perturb and Observe(P&O)算法使用更多,但是由于固定了扰动步长,因此并不是最有效的算法,在大小步长越高,最快达到MPP,但会有较高的稳定度状态错误;如果大小步长较小,则稳态误差较小,但MPP跟踪变慢。另一种众所周知的方法是电导增量(IC)算法,在该方法中,步长取决于功率随电压的变化。对于P&O的可变步长,对于短暂的大气变化,跟踪中的振荡较少,效率更高;对于CI的可变步长,对于大的大气变化,具有快速MPP跟踪效率更高。在本文中,将这两种方法结合起来可以减少振荡,并可以快速跟踪辐照度的大大小小的变化。

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