Are you asking what are the key characteristics that affect wind power prediction? Instability of wind, variability of wind energy, etc.
Wind instability: Wind is caused by air flow caused by atmospheric pressure differences. The wind direction and wind force change all the time. Therefore, wind power generation is characterized by volatility, intermittent and randomness.
Variability of wind energy: The magnitude of wind energy is affected by many factors, including wind speed, wind direction, topography, climate, etc. These factors may change at any time, thus affecting the prediction of wind power.
The difference between wind power power prediction and wind speed prediction
There is. Wind power power prediction is affected by factors such as terrain, landform, weather, and wind farm operating status. Therefore, no matter which prediction algorithm is selected, it is difficult to accurately reflect the output power fluctuation characteristics of the wind farm, and errors are unavoidable. Wind power prediction refers to the prediction of the power generated by wind turbines in wind farms. Wind power prediction system technology uses physical simulation calculations based on data related to wind farm meteorological information.
The difference between wind power power prediction and wind speed prediction is as follows:
1. Wind power power prediction methods are classified according to the predicted physical quantities and can be divided into 2 categories: The first category is the prediction of wind speed. Forecast, the wind farm power output is obtained based on the power curve of the wind turbine or wind farm.
2. Basic characteristics of wind speed prediction. From a spatial perspective, the arrangement of wind speed usually shows irregular and large fluctuations. Under this characteristic, it is difficult to establish a universally suitable physical model to predict the wind speed. It makes predictions.