Frequency domain decomposition based wind power generation short-term load prediction method and apparatus

Abstract

The present invention discloses a frequency domain decomposition based wind power generation short-term load prediction method and apparatus. The method comprises the following steps: (1) preprocessing raw data, and removing wrong data; (2) according to a frequency domain decomposition algorithm, performing frequency domain decomposition to the preprocessed data to obtain a day period part, a week period part, a month period part, a low frequency part and a high frequency part; (3) predicting the day period part by adopting an LWT-LSSVM prediction method; (4) avoiding predicting the week period and month period part; (5) predicting the low frequency part by using a linear analysis method; (6) predicting the high frequency part by adopting the LWT-LSSVM prediction method; and (7) superimposing prediction results of each part as a final prediction result. By adopting the method disclosed by the present invention, when a wind power generation short-term load prediction is performed, a potential rule of a wind power load can be found, the prediction accuracy is good and the computing speed is relatively high.

Description

[0001] This application claims the right of priority with the filing date of August 19, 2014, the application number of 201410409322.1, and the title of “A Wind Power Short-Term Load Forecasting Method and Device Based on Frequency Domain Decomposition”. technical field [0002] 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 [0003] 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. ...

AI Technical Summary

Problems solved by technology

[0005] 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

[0006] 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

Images