Search on the advantages and disadvantages of several distributed photovoltaic power prediction algorithms

Honglei Zhao; Peiyao Zhang; Jingxiu Sun; Jianping Su; Meng Ming

doi:10.1117/12.3011568

7 December 2023 Search on the advantages and disadvantages of several distributed photovoltaic power prediction algorithms

Honglei Zhao, Peiyao Zhang, Jingxiu Sun, Jianping Su, Meng Ming

Author Affiliations +

Proceedings Volume 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023); 129410P (2023) https://doi.org/10.1117/12.3011568
Event: Third International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 203), 2023, Yinchuan, China

Abstract

This paper summarizes the development status, prediction methods and classification of wind power prediction at home and abroad and verifies three typical power prediction models through example comparison- -ARMA power prediction model, Kalman filter model and a distributed solar power generation area. Through the comprehensive analysis of the evaluation indicators of the prediction results, it is found that the wavelet neural network prediction model has the highest accuracy and realizes the short term and super short term accurate prediction for the small range of distributed photovoltaic and wind power. To meet the actual operation needs of the power grid, it has a certain promotion and application value in the distributed power generation projects.

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

Citation Download Citation

Honglei Zhao, Peiyao Zhang, Jingxiu Sun, Jianping Su, and Meng Ming "Search on the advantages and disadvantages of several distributed photovoltaic power prediction algorithms", Proc. SPIE 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 129410P (7 December 2023); https://doi.org/10.1117/12.3011568

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