Wind power generation short-term load forecasting method and device based on frequency domain decomposition

Abstract

The invention discloses a wind power generation short-term load forecasting method and device based on frequency domain decomposition. The method includes the following steps of firstly, preprocessing original data to remove wrong data; secondly, conducting frequency domain decomposition on the preprocessed data to obtain the day period portion, the week period portion, the month period portion, the low-frequency portion and the high-frequency portion according to the frequency domain decomposition algorithm; thirdly, conducting forecasting on the day period portion through the LWT-LSSVM forecasting method; fourthly, conducting no forecasting on the week period portion and the month period portion; fifthly, conducting forecasting on the low-frequency portion through the linear analysis method; sixthly, conducting forecasting on the high-frequency components through the LWT-LSSVM forecasting method; seventhly, overlapping the forecasting results of all the portions to obtain the final forecasting result. When the method is used for wind power generation short-term load forecasting, the potential laws of wind power loads can be found, the forecasting accuracy is high, and the calculation speed is high.

Description

technical field [0001] The invention relates to the technical field of electric power information, in particular to a method and device for short-term load forecasting of wind power generation based on frequency domain decomposition. Background technique [0002] Wind energy is an ideal clean energy, and wind power generation avoids the pollution of thermal power generation to the atmosphere and the impact of hydropower generation on the ecological environment. With the continuous development of wind power technology and the increasing scale of wind farms, in order to ensure the stable operation of the power system and the reliability of power supply, it is necessary to effectively plan and dispatch the wind power system. Due to the unique intermittence and uncertainty of wind power itself, it increases the difficulty of grid dispatching. In order to solve the problem of uncertain power generation of wind farms, the grid must provide sufficient spinning reserve capacity, and...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a method and device for short-term load forecasting of wind power generation based on frequency domain decomposition, so as to solve the problem that the existing wind power load forecasting method is unreliable, inaccurate and generally effective

[0005] The second object of the present invention is to provide a method and device for short-term load forecasting of wind power generation based on frequency domain decomposition, so as to solve the problems of poor prediction accuracy and slow calculation speed of existing wind power load forecasting methods

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