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Constrained optimisation approach for parameter estimation of PV modules with single-diode equivalent model

机译:单二极管等效模型的光伏组件参数估计约束优化方法

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摘要

This study deals with estimation of five unknown parameters in single-diode equivalent model of photovoltaic (PV) modules. First, to simplify the problem, the unknown parameters are reduced to series resistance and diode thermal voltage. These two parameters have significant role for PV model identification. On the other hand, PV model has the least sensitivity to the choice of parallel resistance. Hence, an approximation is utilised for parallel resistance and large value is assigned to this electrical parameter. Thanks to the proposed approximation, a novel cost function is designed for the reduced model such that all of its optimum solutions remain in a small interval of the reduced model. A set of inequality constraints are defined to generate an almost convex optimisation problem with all solutions located in a very small set. The gradient update laws are developed to find the solutions in the tiny set forced by the constructed optimisation problem. The proposed estimation technique generates an accurate model for PV modules, especially at voltage values lower and equal to maximum voltage value.
机译:这项研究处理了光伏(PV)模块的单二极管等效模型中五个未知参数的估计。首先,为简化问题,将未知参数减小为串联电阻和二极管热电压。这两个参数对于PV模型识别具有重要作用。另一方面,PV模型对并联电阻选择的敏感性最低。因此,将近似值用于并联电阻,并将较大的值分配给该电参数。由于提出了近似值,因此为简化模型设计了一种新颖的成本函数,以便其所有最佳解都保持在简化模型的较小间隔内。定义了一组不等式约束,以产生一个几乎凸的优化问题,所有解决方案都位于一个非常小的集中。开发了梯度更新定律,以在构造的优化问题所强制的微小集合中找到解决方案。所提出的估算技术可为光伏组件生成准确的模型,尤其是在电压值小于等于最大电压值的情况下。

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