Separation characteristics between time domain and frequency domain of wireless power communication signal in wind farm

Understanding the intrinsic characteristics of wind power is important for the safe and efficient parallel function of wind turbines in large-scale wind farms. Current research on the spectrum characteristics of wind power focuses on estimation of power spectral density, particularly the structural...

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Vydáno v:EURASIP journal on wireless communications and networking Ročník 2020; číslo 1; s. 1 - 12
Hlavní autoři: Wan, Jie, Yao, Kun, Peng, E., Cao, Yong, NIU, Yuguang, Yu, Jilai
Médium: Journal Article
Jazyk:angličtina
Vydáno: Cham Springer International Publishing 03.01.2020
SpringerOpen
Témata:
Communications Engineering
Distributed Big Data Processing in SCADA Communication Networks
Engineering
FFT
Information Systems Applications (incl.Internet)
Instantaneous power spectrum
Mallat
Networks
Power of wind turbine
Signal,Image and Speech Processing
Time domain fluctuation
Time-frequency separation
Time-frequency separation
Turbulent energy transport
Turbine energy transform
FFT
Power of wind turbine
Mallat
Instantaneous power spectrum
Time domain fluctuation
ISSN:1687-1499, 1687-1499
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Shrnutí:Understanding the intrinsic characteristics of wind power is important for the safe and efficient parallel function of wind turbines in large-scale wind farms. Current research on the spectrum characteristics of wind power focuses on estimation of power spectral density, particularly the structural characteristics of Kolmogorov’s scaling law. In this study, the wavelet Mallat algorithm, which is different from the conventional Fourier transform, with compactly supported characteristics is used to extract the envelope of the signal and analyze the instantaneous spectral characteristics of wind power signals. Then, the theory for the change in the center frequency of the wind power is obtained. The results showed that within a certain range, the center frequency decreases as the wind power increases by using enough wind farm data. In addition, the center frequency remains unchanged when the wind power is sufficiently large. Together with the time domain characteristics of wind power fluctuation, we put forward the time-frequency separation characteristics of wind power and the corresponding physical parameter expressions, which corresponds to wind speed’s amplitude and frequency modulation characteristics. Lastly, the physical connotation of the time-frequency separation characteristics of wind power from the perspective of atmospheric turbulent energy transport mechanism and wind turbine energy transfer mechanism is established.
ISSN:1687-1499
1687-1499
DOI:10.1186/s13638-019-1573-3