An accelerated exploitation differential evolution algorithm for parameter estimation of photovoltaic models

Kezheng Xu; Qiangda Yang; Shufu Yuan; Yuzhang Ji; Yongxu Chen

doi:10.1117/12.3049469

18 October 2024 An accelerated exploitation differential evolution algorithm for parameter estimation of photovoltaic models

Kezheng Xu, Qiangda Yang, Shufu Yuan, Yuzhang Ji, Yongxu Chen

Author Affiliations +

Proceedings Volume 13277, Sixth International Conference on Wireless Communications and Smart Grid (ICWCSG 2024); 132770F (2024) https://doi.org/10.1117/12.3049469
Event: 2024 6th International Conference on Wireless Communications and Smart Grid, 2024, Sipsongpanna, China

Abstract

The accurate recognition of parameters in the photovoltaic (PV) model is crucial for the assessment, adjustment, and tracking of the maximum power point in the PV system, which has significant theoretical and practical value. This paper proposes an adaptive differential evolution with an accelerated exploitation mechanism (AESHADE) for estimating parameter in PV models. In AESHADE, the algorithm's parameters fully utilize the historical evolutionary information of successful individuals and make adaptive adjustments. During the exploitation phase, when the algorithm stagnates, parameters are adjusted to accelerate convergence. To validate the efficacy of AESHADE, it is applied to the single diode model (SDM), double diode model (DDM), triple diode model (TDM), and Photowatt-PWP201 module model (PhotowattPWP201 MM). The experimental results demonstrate that, compared to seven others optimization algorithms, the AESHADE algorithm exhibits superior problem-solving precision on PV models.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Kezheng Xu, Qiangda Yang, Shufu Yuan, Yuzhang Ji, and Yongxu Chen "An accelerated exploitation differential evolution algorithm for parameter estimation of photovoltaic models", Proc. SPIE 13277, Sixth International Conference on Wireless Communications and Smart Grid (ICWCSG 2024), 132770F (18 October 2024); https://doi.org/10.1117/12.3049469

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