An effective QUATRE algorithm based on reorganized mechanism and its application for parameter estimation in improved photovoltaic module

Fei-Fei Liu; Shu-Chuan Chu; Chia-Cheng Hu; Junzo Watada; Jeng-Shyang Pan

doi:10.1016/j.heliyon.2023.e16468

An effective QUATRE algorithm based on reorganized mechanism and its application for parameter estimation in improved photovoltaic module

Heliyon. 2023 Jun 23;9(6):e16468. doi: 10.1016/j.heliyon.2023.e16468. eCollection 2023 Jun.

Authors

Fei-Fei Liu¹, Shu-Chuan Chu^{1

2}, Chia-Cheng Hu³, Junzo Watada⁴, Jeng-Shyang Pan^{1

5}

Affiliations

¹ College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, 266590, China.
² College of Science and Engineering, Flinders University, 1284 South Road, Tonsley, SA 5042, Australia.
³ College of Artificial Intelligence, Yango University, Fuzhou, 350015, China.
⁴ Waseda University, 2-7 Hibikino, Wakamatsu-ku, Kitakyushu, Fukuoka, 808-0135, Japan.
⁵ Department of Information Management, Chaoyang University of Technology, Taichung, 413310, Taiwan.

Abstract

The traditional parameter estimation methods for photovoltaic (PV) module are strictly limited by the reference standards. On the basis of the double diode model (DDM), this paper proposes a modified PV module that is independent of the reference conditions and can be used for the transformation and reconfiguration of PV module. With respect to the issue of the slow convergence precision and the tendency to trap in the local extremum of the QUATRE algorithm, this research incorporates the QUATRE algorithm with recombination mechanism (RQUATRE) to tackle the problem of parameter estimation for the improved PV modules described above. Simulation data show that the RQUATRE wins 29, 29, 21, 17 and 15 times with the FMO, PIO, QUATRE, PSO and GWO algorithms on the CEC2017 test suite. In addition, in a modified PV module for the parameter extraction problem, the final experimental results achieved a value of 2.99 × 10^-3 at RMSE, all better than the accuracy values of the compared algorithms. In the fitting process of IAE, the final values are also all less than 10%, which can satisfy the fitting needs.

Keywords: Double-diode model; Parameter estimation; Photovoltaic module; QUasi-Affine TRansformation evolution algorithm; Reorganized mechanism.