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AC Dynamic Parameters Extraction of Shaded Solar Cells Based on Analytical Methods and LMLS Algorithm

机译:基于解析法和LMLS算法的遮阳太阳能电池交流动态参数提取

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This paper aims at investigating the ac dynamic parameters of partially shaded solar PV cells. We employ analytical and numerical methods to extract the parameters of ac dynamic model of a PV cell. Particularly, the parameter identification process is based on the small signal impedance model of solar cells and its associated transfer function. This model can reflect the static and the dynamic performances of the solar cell at low and high frequencies. The analytical method utilizes mathematical equations derived from Nyquist and Bode plots, whereas the numerical method exploits Levenberg-Marquardt Least Squares (LMLS) algorithm. In this paper, we have also designed an adapted experimental laboratory circuit to measure the PV cells frequency response. The entire procedure, including the acquisition and calculation systems is completely automated using C# programming. Accordingly, we developed a low-cost setup that allows partial shading emulation as well as high power and frequency measurements. Our results demonstrate that the numerical method can achieve a better fit of data with an accuracy of 91%. Moreover, it can estimate the same parameter values in a short time with high precision.
机译:本文旨在研究部分阴影太阳能光伏电池的交流动态参数。我们采用分析和数值方法来提取光伏电池交流动态模型的参数。特别地,参数识别过程基于太阳能电池的小信号阻抗模型及其相关的传递函数。该模型可以反映太阳能电池在低频和高频下的静态和动态性能。分析方法利用从Nyquist和Bode图得出的数学方程式,而数值方法利用Levenberg-Marquardt最小二乘(LMLS)算法。在本文中,我们还设计了一种适合的实验实验室电路,用于测量PV电池的频率响应。使用C#编程,包括采集和计算系统在内的整个过程是完全自动化的。因此,我们开发了一种低成本设置,允许部分阴影仿真以及高功率和频率测量。我们的结果表明,数值方法可以以91%的精度更好地拟合数据。而且,它可以在短时间内高精度地估计相同的参数值。

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