@article{YAO2025, 
author = {XiaoBo YAO and XueWei WANG},
title = {Construction of an amplitude domain run waveform sample library of wind power metering signal},
year = {2025},
journal = {Journal of Beijing University of Chemical Technology (Natural Science Edition)},
volume = {52},
number = {1},
pages = {75-82},
keywords = {wind power energy signal, runway domain characteristic parameter, runway domain feature function, typical waveform modes in the run range domain, wind power typical waveform sample library},
url = {https://www.sciopen.com/article/10.13543/j.bhxbzr.2025.01.009},
doi = {10.13543/j.bhxbzr.2025.01.009},
abstract = {The amplitude domain characteristics of wind power generation signals cannot comprehensively characterize long-term fluctuations and local rapid changes in the construction of new power systems. To address this issue, a stochastic time series model of wind power signals was first established; Secondly, a bimodal model of the metastability term and the dynamic term of the current amplitude signal was established, and five characteristic parameters and two characteristic functions were constructed in the run range domain; Finally, 24 typical waveform modes in the run range domain were extracted, and a sample library of wind power typical waveforms was constructed to extract typical features of the voltage and current signals of wind power generation. The results provide a comprehensive characterization of the complex features of wind power generation energy signals.}
}