Spatiotemporal Diurnal Modulation Characteristic of Wind Speed and Power Generation Revealed by Its Measured Data...

Area of Science:

• Atmospheric Science
• Renewable Energy Engineering
• Power Systems

Background:

• Atmospheric turbulence inherently introduces uncertainty in wind speed and wind turbine power generation.
• Understanding atmospheric turbulence characteristics in wind farms is crucial for reducing this uncertainty and improving energy production predictability.

Purpose of the Study:

• To quantitatively analyze daily variations in wind speed and power output using actual wind farm data.
• To propose and define the concept of spatiotemporal diurnal modulation characteristics of atmospheric turbulence.
• To investigate the limitations of current wind speed and power variation parameters in reflecting intrinsic turbulence characteristics.

Main Methods:

• Processing extensive measurement data from actual wind farms.
• Quantitative analysis of daily wind speed and power output variations.
• Developing a time-varying model incorporating spatiotemporal diurnal modulation characteristics.

Main Results:

• Identified short-term modulation effects of average hourly wind speed on turbulence and wind speed uncertainty.
• Demonstrated long-term modulation processes influenced by seasonal and regional factors, confirming spatiotemporal characteristics.
• Current characteristic description parameters for wind speed and power variation do not fully capture these intrinsic diurnal characteristics.

Conclusions:

• The proposed spatiotemporal diurnal modulation characteristics offer a more comprehensive understanding of atmospheric turbulence in wind farms.
• A novel time-varying model integrating these characteristics can effectively evaluate frequency control in power systems.
• Applying results from measured data processing can significantly enhance the power generation quality of large-scale wind power installations.