AbstractIn estimating the parameters of the five unknown parameters Single‐Diode Model (SDM) of the solar photovoltaic (PV) model, a non‐linear equation for the PV cell current is typically utilized. Then, the error between the estimated current and measured current is computed using the objective function called Root‐Mean‐Square‐Error (RMSE). In order to compute the PV cell current in SDM, an iterative method built on the Lambert‐W function is presented in this study. Along with the Lamber‐W function, an optimization algorithm called Weighted Velocity‐Guided Grey Wolf Optimizer (WVGGWO) is used to identify the unknown lumped parameters of SDM of the cell and the module. The proposed WVGGWO is an updated version of the original Grey Wolf Optimizer (GWO). The position update of the GWO has been modified, and the weightage has been provided for the wolf hierarchy. Additionally, by emphasizing the lengthening of each leading wolf's steps towards the others in the earlier search while emphasizing the shortening of the steps while reaching the later iterations, WVGGWO improves both the exploration and exploitation of the original GWO. Four case studies are considered for testing the validity of the proposed algorithm along with the Lambert‐W function. The performance of the proposed approach is compared with seven other well‐known algorithms. The results demonstrate that the suggested approach produces better outcomes than many optimization algorithms.

More from our Archive

• DOI: 10.3390/en16145240 2023

  Prediction of the Remaining Useful Life of Supercapacitors at Different Temperatures Based on Improved Long Short-Term Memory

  Ning Ma, Huaixian Yin, Kai Wang

• DOI: 10.1039/d3ee01724a 2023

  Engineering an electrostatic field layer for high-rate and dendrite-free Zn metal anodes

  Kaiping Zhu, Can Guo, Wenbin Gong, Qinghua Xiao, Yagang Yao, Kenneth Davey, Qinghong Wang, Jianfeng Mao, Pan Xue, Zaiping Guo

• DOI: 10.1002/aenm.202301193 2023

  Crystal‐Facet Manipulation and Interface Regulation via TMP‐Modulated Solid Polymer Electrolytes toward High‐Performance Zn Metal Batteries

  Bin Qiu, Kaiyuan Liang, Wei Huang, Guoqiang Zhang, Chuanxin He, Peixin Zhang, Hongwei Mi

• DOI: 10.1039/d3ta01766d 2023

  Concurrent alloying and vacancy engineering for intensifying hydrogen spillover towards alcohol–water co-electrolysis

  Hui Xu, Kun Wang, Guangyu He, Haiqun Chen

• DOI: 10.3390/su151310543 2023

  The State of the Art in Deep Learning Applications, Challenges, and Future Prospects: A Comprehensive Review of Flood Forecasting and Management

  Vijendra Kumar, Hazi Md. Azamathulla, Kul Vaibhav Sharma, Darshan J. Mehta, Kiran Tota Maharaj

• DOI: 10.1002/aenm.202301391 2023

  Fundamental Understanding of Structural Reconstruction Behaviors in Oxygen Evolution Reaction Electrocatalysts

  Haoyin Zhong, Qi Zhang, Junchen Yu, Xin Zhang, Chao Wu, Yifan Ma, Hang An, Hao Wang, Jun Zhang, Xiaopeng Wang, Junmin Xue

• DOI: 10.1039/d3ee00084b 2023

  Distinct thermal runaway mechanisms of sulfide-based all-solid-state batteries

  Xinyu Rui, Dongsheng Ren, Xiang Liu, Xiaodan Wang, Kuangyu Wang, Yao Lu, Linwei Li, Pengbo Wang, Gaolong Zhu, Yuqiong Mao, Xuning Feng, Languang Lu, Hewu Wang, Minggao Ouyang

• DOI: 10.3390/su151410821 2023

  Microplastics as an Emerging Threat to the Global Environment and Human Health

  Shampa Ghosh, Jitendra Kumar Sinha, Soumya Ghosh, Kshitij Vashisth, Sungsoo Han, Rakesh Bhaskar

• DOI: 10.1002/aenm.202301530 2023

  Mechanism of Doping with High‐Valence Elements for Developing Ni‐Rich Cathode Materials

  Nam‐Yung Park, Su‐Bin Kim, Myoung‐Chan Kim, Sang‐Mun Han, Dong‐Hwi Kim, Min‐Su Kim, Yang‐Kook Sun

• DOI: 10.1039/d3ee01344h 2023

  Regulating the electronic structure of manganese-based materials to optimize the performance of zinc-ion batteries

  Anqi Zhang, Ran Zhao, Yahui Wang, JingJing Yang, Chuan Wu, Ying Bai