A Gray Predictive Evolutionary Algorithm with Adaptive Threshold Adjustment Strategy for Photovoltaic Model Parameter Estimation

Wencong Wang, Baoduo Su, Quan Zhou () and Qinghua Su
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Wencong Wang: School of Information and Mathematics, Yangtze University, Jingzhou 434000, China
Baoduo Su: School of Information Engineering, Jiaxing Nanhu University, Jiaxing 314000, China
Quan Zhou: School of Information and Mathematics, Yangtze University, Jingzhou 434000, China
Qinghua Su: School of Information and Mathematics, Yangtze University, Jingzhou 434000, China

Mathematics, 2025, vol. 13, issue 15, 1-24

Abstract: Meta-heuristic algorithms are the dominant techniques for parameter estimating for solar photovoltaic (PV) models. Current algorithms are primarily designed with a focus on search performance and convergence speed, but they fail to account for the significant difference in the lengths of the feasible regions for each decision variable in the solar parameter estimation problem. The consideration of variable length difference in algorithm design may be beneficial to the efficiency for solving this problem. A gray predictive evolutionary algorithm with adaptive threshold adjustment strategy (GPEat) is proposed in this paper to estimate the parameters of several solar photovoltaic models. Unlike original GPEs and their existing variants with fixed thresholds, GPEat designs an adaptive threshold adjustment strategy (ATS), which adaptively adjusts the threshold parameter of GPE to be proportional to the length of each dimensional variable of the PV problem. The adaptive change of the threshold helps GPEat to select suitable operators for different dimensions of the PV problem. Several sets of experiments are conducted based on single-, double-, and triple-diode models and PV panel models. The experimental results indicate the highly competitive in parameter estimation for solar PV models of the proposed algorithm.

Keywords: adaptive strategies; gray prediction evolutionary algorithm; parameter estimation; photovoltaic models (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2025
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