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Least square estimator and IEC-60891 procedure for parameters estimation of single-diode model of photovoltaic generator at standard test conditions (STC)
Electrical Engineering ( IF 1.8 ) Pub Date : 2021-01-03 , DOI: 10.1007/s00202-020-01131-2
Albert Ayang , René Wamkeue , Mohand Ouhrouche , Mohamad Saad , Tommy Andy Tameghe , Kodji Deli , Pierre Tchakoua Takoutsing

Like some previous works, it is shown that ( I – V ) curve analysis can be applied to photovoltaic (PV) modules and to PV plants. Generally, manufacturers give data at standard test conditions (STC); therefore, for performance analysis and diagnosis of PV modules it is useful to extrapolate data and parameters at STC according to the International Electrotechnical Commission (IEC)-60891 procedures. Review on modeling PV generator is first established in this paper; next, the combination of the optimization method of least squares estimator algorithm and Newton–Raphson (NR) resolution for identifying the unknown parameters of single diode photovoltaic generators at STC is proposed; if parameters and curves are not obtained at STC, they are then extrapolated at STC according to IEC-60891 procedures. For polycrystalline silicon MSX60 PV generators, the dynamic variations of parameter values are carried out by graphs and the ( I – V ) curves are superposed, justifying the accuracy of the proposed method. The method is then extended to a 500 kW PV generator, the obtained parameters are then extrapolated to STC according to IEC-60891. The ( I – V ) and ( P – V ) curves obtained by extrapolated parameters are then compared with those measured. After up to 222 iterations, the parameters converge to constant values. Simulation shows maximum error value of 0.06 between experimental curve and estimated curves.

中文翻译:

标准测试条件 (STC) 下光伏发电机单二极管模型参数估计的最小二乘估计器和 IEC-60891 程序

与之前的一些工作一样,(I – V) 曲线分析可以应用于光伏 (PV) 模块和光伏电站。一般厂家给出标准测试条件(STC)下的数据;因此,对于 PV 模块的性能分析和诊断,根据国际电工委员会 (IEC)-60891 程序在 STC 处外推数据和参数是有用的。本文首先建立了对光伏发电机建模的综述;其次,提出了最小二乘估计算法和牛顿-拉夫森(NR)分辨率相结合的优化方法,用于识别STC单二极管光伏发电机的未知参数;如果没有在 STC 处获得参数和曲线,则根据 IEC-60891 程序在 STC 处外推。对于多晶硅 MSX60 光伏发电机,参数值的动态变化是通过图形进行的,并且(I-V)曲线是叠加的,证明了所提出方法的准确性。然后将该方法扩展到 500 kW PV 发电机,然后根据 IEC-60891 将获得的参数外推到 STC。然后将通过外推参数获得的 ( I – V ) 和 ( P – V ) 曲线与测量的曲线进行比较。在最多 222 次迭代后,参数收敛到常数值。模拟显示实验曲线和估计曲线之间的最大误差值为 0.06。然后将通过外推参数获得的 ( I – V ) 和 ( P – V ) 曲线与测量的曲线进行比较。在最多 222 次迭代后,参数收敛到常数值。模拟显示实验曲线和估计曲线之间的最大误差值为 0.06。然后将通过外推参数获得的 ( I – V ) 和 ( P – V ) 曲线与测量的曲线进行比较。在最多 222 次迭代后,参数收敛到常数值。模拟显示实验曲线和估计曲线之间的最大误差值为 0.06。
更新日期:2021-01-03
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