Two-step PV grid-connected inverter control parameter identification based on improved gray wolf algorithm

Jingjing Wang; Dawei Xie; Xu Wu; Chao Ding; Wei Peng; Wenzhi Han

doi:10.1117/12.3004391

25 September 2023 Two-step PV grid-connected inverter control parameter identification based on improved gray wolf algorithm

Jingjing Wang, Dawei Xie, Xu Wu, Chao Ding, Wei Peng, Wenzhi Han

Author Affiliations +

Proceedings Volume 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023); 127883H (2023) https://doi.org/10.1117/12.3004391
Event: Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 2023, Kuala Lumpur, Malaysia

Abstract

In the photovoltaic grid-connected system, the various parameters of the photovoltaic cluster have been given by the manufacturer, but the control parameters of the photovoltaic inverter are unknown, which brings difficulties to the power system simulation. In order to solve this problem, a two-step parameter identification method based on the improved gray wolf algorithm is proposed, which expands on the traditional gray wolf algorithm, divides the wolf pack into encirclement group and catch-up group, and builds a model in MATLAB to verify the effectiveness of this method. The results show that the improved gray wolf algorithm has higher identification accuracy and stability in the identification of control parameters of photovoltaic inverters, which has guiding significance for the accurate modeling of power system and the stability analysis of power system.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jingjing Wang, Dawei Xie, Xu Wu, Chao Ding, Wei Peng, and Wenzhi Han "Two-step PV grid-connected inverter control parameter identification based on improved gray wolf algorithm", Proc. SPIE 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 127883H (25 September 2023); https://doi.org/10.1117/12.3004391

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