Correlation Analysis of Wind Farm Wind Speed Output Typical Fluctuation Process Based on Deep Learning Algorithm

Jing Wang, Ronaldo Juanatas, Jing Bi, Jianye Wei

2025

Abstract

With the increasing improvement of people's quality of life and the increase in household appliances, the capacity of wind turbines increases, the diameter of wind turbines increases, and a large amount of rotational inertia is generated during the rotation process of wind turbines. However, the output road cannot be changed in real-time based on wind speed changes, leading to the problem of wind speed wavelet fluctuations. This small fluctuation can cause large power fluctuations and even reduce power quality, affecting the safety and stability of power system operation. To this end, a probability distribution model is established for wind farm wind speed and wind power. A deep learning algorithm is used to analyze the correlation analysis of typical fluctuation processes of wind farm speed output. The model is used to simulate wind farm power fluctuations, and the correlation and smoothness analysis is used to analyze the spatiotemporal fluctuation of wind power output, forming a correlation analysis evaluation plan. The results of the correlation analysis of typical fluctuation processes of wind farm wind speed output are comprehensively evaluated. The results show that compared with statistical methods, the deep learning algorithm has a smaller difference in the correlation coefficient between wind speed fluctuations and wind power.

Paper Citation

in Harvard Style

Wang J., Juanatas R., Bi J. and Wei J. (2025). Correlation Analysis of Wind Farm Wind Speed Output Typical Fluctuation Process Based on Deep Learning Algorithm. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 295-299. DOI: 10.5220/0013540200004664

in Bibtex Style

@conference{incoft25,
author={Jing Wang and Ronaldo Juanatas and Jing Bi and Jianye Wei},
title={Correlation Analysis of Wind Farm Wind Speed Output Typical Fluctuation Process Based on Deep Learning Algorithm},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT},
year={2025},
pages={295-299},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013540200004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT
TI - Correlation Analysis of Wind Farm Wind Speed Output Typical Fluctuation Process Based on Deep Learning Algorithm
SN - 978-989-758-763-4
AU - Wang J.
AU - Juanatas R.
AU - Bi J.
AU - Wei J.
PY - 2025
SP - 295
EP - 299
DO - 10.5220/0013540200004664
PB - SciTePress