当前位置: X-MOL 学术J. Comput. Electron. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Extraction of uncertain parameters of a single-diode model for a photovoltaic panel using lightning attachment procedure optimization
Journal of Computational Electronics ( IF 2.1 ) Pub Date : 2020-05-04 , DOI: 10.1007/s10825-020-01500-x
Ramzi Ben Messaoud

The aim of this work is to improve the estimation of parameters of solar photovoltaic models. An approach based on lightning attachment procedure optimization, which takes into account the uncertainties of measurements, is proposed. The approach includes three steps: the extraction of the parameters in a conventional manner, the determination of the partial uncertainties of all the parameters, and finally the determination of the instantaneous parameters based on the results of the first two steps. To validate the proposed theoretical developments, the approach is applied to four different photovoltaic parameter estimation problems. The results obtained are compared with those given by well-established algorithms to confirm the effectiveness of the proposed method, revealing that the proposed method exhibits very effective performance with a root-mean-square error on the order of 1 × 10−17, compared with 1 × 10−4 for existing literature methods.

中文翻译:

使用雷电附着过程优化提取光伏面板单二极管模型的不确定参数

这项工作的目的是改善太阳能光伏模型参数的估计。提出了一种基于闪电附着过程优化的方法,该方法考虑了测量的不确定性。该方法包括三个步骤:以常规方式提取参数,确定所有参数的部分不确定性,最后根据前两个步骤的结果确定瞬时参数。为了验证所提出的理论发展,该方法被应用于四个不同的光伏参数估计问题。将获得的结果与完善的算法给出的结果进行比较,以确认所提出方法的有效性,-17,而现有文献方法为1×10 -4
更新日期:2020-05-04
down
wechat
bug