Method for predicting short-term power of wind farm on the basis of BP (back propagation) neural network

Abstract

The invention discloses a method for predicting short-term power of a wind farm on the basis of a BP (back propagation) neural network. The method includes the steps of a, acquiring historical records of meteorological element data of a location of the wind farm and output power corresponding to each record; b, correcting the meteorological element data into fan hub height data; c, applying the corrected meteorological element data as input data to be input into the BP neural network, and applying the output power corresponding to the meteorological element data as input of the BP neural network to train the BP neural network; d, acquiring meteorological element data of the location of the wind farm according to numerical weather prediction data in a prediction period, correcting the meteorological element data into fan hub height data and generating corrected meteorological element data; and e, inputting the corrected meteorological element data obtained in step d into the BP neural network, and outputting data which is generation output power of the wind farm in the prediction period. The method is simple, easy and highly accurate.

Description

technical field [0001] The invention relates to the technical field of power forecasting of wind farms, in particular to a short-term power forecasting method of wind farms based on BP neural network. Background technique [0002] Wind power generation is a form of power generation that uses wind turbines to convert the kinetic energy of wind into electrical energy. At this stage, the popularization and application of wind energy is increasingly presenting an ascendant world trend, and the wind energy industry has become one of the new energy industries that are booming in the world. The development and utilization of wind energy has become a common choice for human society to alleviate the growing energy shortage and a powerful force to control severe environmental pollution. The stable operation of the power grid needs to maintain a certain balance between the supply and demand sides, that is, according to the changes in user consumption, the opening and closing of therma...

AI Technical Summary

Problems solved by technology

As the weather changes, the output power of wind farms changes drastically, which seriously affects the peak regulation of the power grid;

[0004] 2) Grid stability issues

It is in its infancy, and there is no mature system method for wind farm power prediction