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Calculation of Seven Photovoltaic Cells Parameters Using Parallelized Successive Discretization Algorithm
International Journal of Photoenergy ( IF 2.1 ) Pub Date : 2020-12-10 , DOI: 10.1155/2020/6669579
Adrian M. Deaconu 1 , Daniel T. Cotfas 2 , Petru A. Cotfas 2
Affiliation  

Some parameters must be calculated with very good accuracy for the purpose of designing, simulating, and evaluating the performance of a photovoltaic system. The seven parameters of the photovoltaic cell and panels for the two-diode model are determined using a parallelized metaheuristic algorithm based on successive discretization. The parameters obtained for a photovoltaic cell and four panels using the proposed algorithm are compared with the ones calculated through over twenty methods from recent research literature. The root mean square error is used to prove the superiority of the Parallelized Successive Discretization Algorithm (PSDA). The smallest values for root mean square error (RMSE) in both cases, photovoltaic cell and panels, are obtained for the algorithm presented in this paper. The seven parameters for three panels known in the specialised literature, Kyocera KC200GT, Leibold Solar Module LSM 20, and Leybold Solar Module STE 4/100 are determined for the first time using PSDA.

中文翻译:

使用并行连续离散化算法计算七个光伏电池参数

为了设计、模拟和评估光伏系统的性能,必须以非常高的精度计算一些参数。两个二极管模型的光伏电池和面板的七个参数是使用基于连续离散化的并行元启发式算法确定的。使用所提出的算法为一个光伏电池和四个面板获得的参数与最近研究文献中通过二十多种方法计算的参数进行了比较。均方根误差用于证明并行连续离散化算法(PSDA)的优越性。对于本文提出的算法,获得了光伏电池和面板这两种情况下均方根误差 (RMSE) 的最小值。
更新日期:2020-12-10
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