Metaphor-free dynamic spherical evolution for parameter estimation of photovoltaic modules

Energy Reports

卷:7

Ali Asghar Heidari¹  Xuehua Zhao²  Pengjun Wang³  Wei Zhou³  Huiling Chen⁴  Majdi Mafarja⁵  Hamza Turabieh⁶ 

[1] Corresponding authors.;

[2] College of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, Zhejiang 325035, China;

[3] College of Electrical and Electronic Engineering, Wenzhou University, Wenzhou 325035, China;

[4] Department of Computer Science, Birzeit University, POBox 14, West Bank, Palestine;

[5] Department of Information Technology, College of Computers and Information Technology, P.O. Box 11099, Taif 21944, Taif University, Taif, Saudi Arabia;

[6] School of Digital Media, Shenzhen Institute of Information Technology, Shenzhen 518172, China;

关键词: Spherical evolution algorithm;    Dynamic sine-cosine mechanism;    Photovoltaic modules;    Solar cell;    Parameter estimation;   

DOI  :  

来源: DOAJ

【 摘 要 】

How to effectively realize the simulation, evaluation, and control of the photovoltaic (PV) system established on the actual measured voltage and current PV cells and module data has attracted widespread attention. The original SE possesses the disadvantages of slow convergence and poor accuracy in the parameter identification of PV cells and modules. This paper proposes an enhanced spherical evolution algorithm (SE) based on a novel dynamic sine-cosine mechanism (DSCSE). The introduction of the dynamic sine-cosine mechanism significantly promotes the information communication of disparate individuals and increases the diversity of diverse populations. To assess the performance of DSCSE, it is compared with ten comparative algorithms to estimate unknown parameters of PV cell and module at fixed and varying temperature and light conditions, including single diode model (SDM), double diode model (DDM), three diode model (TDM) and PV module. The experimental results indicate that the root mean square of the error (RMSE) gained by DSCSE outperforms most competing algorithms. The results of RMSE by DSCSE for SDM, DDM, and TDM of commercial solar cells R.T.C. France and PV module of Photowat-PWP201 is the percentage of improvement of 48.45%, 6.85%, 11.81%, and 4.73% compared to SE, respectively. Furthermore, for three manufacturers, including Mono-crystalline (SM55), Thin-film (ST40), and Multi-crystalline (KC200GT), the results of RMSE by DSCSE harvest the maximum and minimum increase of 96.1% and 31.36%. Therefore, DSCSE is expected to become a novel promising technology to estimate the parameter of PV cells and modules.

【 授权许可】

Unknown