Abstract
In recent years, tidal current power generation technology has achieved rapid development. On the basis of summarizing the characteristics of tidal current power generation, this paper comprehensively analyzes the distribution law of electric energy in tidal current power generation. Hilbert huang transform was applied to the trend of energy in power quality detection and analysis, the key can power on the trend of the measured data grouping processing, and carried out in accordance with the time period, such as day, month and year of HHT analysis, can get tide power distribution, can verify the HHT analysis in the trend of the power law research in the application feasibility and accuracy.
Highlights
With the development of social economy, the demand for energy is increasing day by day
Fourier transform is generally used to analyze stable signals, and its extended discrete Fourier transform and fast Fourier transform will produce phase detection error [34].The window function of S transformation cannot be the root function, and it can be adjusted according to the actual needs of specific projects, which is lack of generality and requires a lot of calculation [5,6]. wavelet transform is applicable to the analysis of non-stationary signals, the selection of wavelet basis is relatively complicated [7]
Hilbert-Huang Transform (HHT) is a nonlinear non-stationary signal processing method which has been developed in recent years
Summary
With the development of social economy, the demand for energy is increasing day by day. Hilbert-Huang Transform (HHT) is a nonlinear non-stationary signal processing method which has been developed in recent years. HHT is an adaptive signal analysis method, and its basis function does not need to be set in advance, or its basis function is defined after the fact. It has good flexibility in data processing and overcomes the disadvantage of fixed basis function of wavelet transform [8]. Through analyzing the measured data of tidal current power generation, the power distribution law of tidal current power generation is explored by Hilbert yellow transformation. Trend of monthly and annual power generation to HHT analysis of the measured data, get the trend to monthly and annual Hilbert spectrum of electric power and the power transformation trend, through analyzing the Hilbert spectrum can get tide monthly and annual distribution of electric power, and with the test data of monthly and annual electricity distribution curve, verify the feasibility and accuracy of applying HHT analysis in the study of power generation law
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
