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Identification of photovoltaic arrays' maximum power extraction point via dynamic regressor extension and mixing

机译:通过动态回归扩展和混合识别光伏阵列的最大功率提取点

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This paper deals with the problem of identification of photovoltaic arrays' maximum power extraction pointinformation that is encrypted in the current-voltage characteristic equation. We propose a new parameterisation of the classical 5 parameter models of this function that, combined with the recently introduced identification technique of dynamic regressor extension and mixing, ensures a fast and accurate estimation of all unknown parameters. A concavity property of the current-voltage characteristic equation is then exploited to directly identify the desired voltage operating point. Realistic numerical examples via computer simulations are presented to assess the performance of the proposed approach.
机译:本文研究了用电流-电压特性方程加密的光伏阵列最大功率提取点信息的识别问题。我们提出了该函数的经典5参数模型的新参数化方法,并结合了最近引入的动态回归扩展和混合识别技术,可确保快速,准确地估计所有未知参数。然后,利用电流-电压特性方程的凹性直接确定所需的电压工作点。通过计算机仿真给出了实际的数值示例,以评估所提出方法的性能。

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