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Extraction of uncertain parameters of single-diode model of a photovoltaic panel using simulated annealing optimization
Energy Reports ( IF 5.2 ) Pub Date : 2020-11-01 , DOI: 10.1016/j.egyr.2020.01.016
Ramzi Ben Messaoud

Abstract In this article, our goal is to improve the estimation of the parameters of solar photovoltaic models, we propose a method based on Simulated Annealing (SA) Optimization, the proposed algorithm takes into account the uncertainties of measurements. This algorithm consists of three steps such as the extraction of the parameters in a conventional manner, then the determination of the uncertainties of each parameter, finally the determination of the instantaneous parameters taking into account the results of the first two steps. For the validation of the proposed theoretical developments, the algorithm is applied to four different PV parameter estimation problems. The results obtained are compared with well-established algorithms to confirm its effectiveness. These comparisons have shown that the proposed method exhibits largely effective performances than existing methods in the literature.

中文翻译:

基于模拟退火优化的光伏板单二极管模型不确定参数提取

摘要 在本文中,我们的目标是改进太阳能光伏模型参数的估计,我们提出了一种基于模拟退火(SA)优化的方法,该算法考虑了测量的不确定性。该算法包括三个步骤,如以常规方式提取参数,然后确定每个参数的不确定性,最后考虑前两步的结果确定瞬时参数。为了验证所提出的理论发展,该算法被应用于四个不同的 PV 参数估计问题。将获得的结果与完善的算法进行比较以确认其有效性。
更新日期:2020-11-01
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