The difference between wind power power prediction and wind speed prediction

Introduction The difference between wind power power prediction and wind speed prediction 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 physi

The difference between wind power power prediction and wind speed prediction

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. The power curve of the unit or wind farm is used to obtain the wind farm power output.

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.

Principle of wind power power forecasting

The accuracy of day-ahead forecasting is ultra-short-term.

Based on the high accuracy of ultra-short-term forecasts of new energy, in the real-time market, we allow new energy to make secondary quotes based on ultra-short-term forecasts and adjust the day-ahead forecast deviation, further promoting the development of new energy. Consumption.

Day-ahead forecast refers to the forecast of wind power and photovoltaic power for the next day, with a resolution of 15 minutes. In case of a holiday, the report must be reported on the last working day before the holiday to the first working day after the holiday. Forecasting, for festive arrangements. During holidays, wind farms and photovoltaic power stations still need to submit wind power forecasts and photovoltaic power forecasts for the next day on time every day.

The first is to predict the wind speed first.

The first is to predict the wind speed first, and then obtain the corresponding wind power through the conversion of the power characteristic curve. The second is to collect various historical data required for power prediction, such as wind speed, wind direction, temperature, etc., and establish a mathematical model to reflect the relationship between these data and wind power power.

Wind power refers to the actual energy of wind energy acting on the wind blades. The power emitted by the generator is less than it because there is an efficiency problem in the conversion process. Wind power density is the wind energy of airflow vertically passing through unit cross-sectional area in unit time.

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