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An efficient maximum power point tracking algorithm for solar PV panels

机译:太阳能光伏面板有效的最大功率点跟踪算法

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One of the newly implemented maximum power point tracking algorithms is the Three Point Quadrature Approximation (TPQA) algorithm. This algorithm has showed a good tracking response of the Maximum Power Point (MPP). However, the TPQA has some problems such as the fail of tracking the MPP under rapidly changing environmental conditions and the oscillations around the MPP value which lead to power losses. In this paper a modified TPQA algorithm is proposed to improve the stability and achieve an accurate response to the rapidly changing environmental conditions. The period of power oscillations is reduced by 40% compared to the TPQA algorithm. In addition, the oscillations in the system around the maximum power point are also reduced. However, the average output power of the proposed algorithm is lower by 1.8% compared to the TPQA.
机译:新实现的最大功率点跟踪算法之一是三点正交近似(TPQA)算法。该算法显示出最大功率点(MPP)的良好跟踪响应。然而,TPQA具有一些问题,例如在快速改变环境条件下跟踪MPP的问题,以及MPP值周围的振荡,导致功率损耗。在本文中,提出了一种改进的TPQA算法,以提高稳定性并实现对快速变化的环境条件的准确响应。与TPQA算法相比,功率振荡周期减少了40%。另外,系统周围的系统中的振荡也降低。然而,与TPQA相比,所提出的算法的平均输出功率较低1.8%。

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