Wind power output prediction method based on historical predicted value
A technology for predicting output and predicting values, applied in forecasting, neural learning methods, instruments, etc., can solve problems such as difficult to grasp load growth, strong randomness of power supply, and increased difficulty of power load
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[0033] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention.
[0034] The present invention provides a wind power output prediction method based on historical prediction values, using various measured data on the grid-connected side of each wind power station in the power system, summarizing and analyzing the predicted data content, and predicting wind power output based on the difference in time span It is divided into four categories: ultra-short-term forecast, short-term forecast, medium-term forecast, and long-term forecast. The specific steps are as follows:
[0035] S1. According to different prediction periods, take out the hourly output data of wind power in the grid-connected substation of the wind farm, establish a BP n...
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