Short-term wind speed hybrid prediction method and device

Abstract

The invention provides a short-term wind speed hybrid prediction method, which comprises the following steps of: acquiring original high-resolution wind speed data of a wind power plant at a certain sampling interval, dividing the original high-resolution wind speed data into a training set and a test set, and respectively acquiring low-resolution wind speed data of the training set and the test set by adopting an average method; performing feature extraction and data compression on the low-resolution wind speed data and the high-resolution wind speed data to establish a multi-resolution wind speed data hybrid model; carrying out secondary development on predictable components in the preliminary prediction result, predicting errors of the multi-resolution wind speed data hybrid model by adopting a self-adaptive error correction method, and correcting the prediction result; and adopting wind speed sequences of multiple positions to re-mine related information among the multiple positions to improve the precision of the prediction model, and finally realizing multi-position data fusion prediction based on the multi-resolution hybrid model. The accuracy, the robustness and the system generalization ability of the wind speed prediction system are improved by using the wind speed hybrid prediction system combining multiple methods.

Description

technical field [0001] The disclosure belongs to the technical field of wind speed prediction, and in particular relates to a short-term wind speed mixed prediction method and device. Background technique [0002] With the continuous consumption of non-renewable resources such as fossil energy, countries all over the world have begun to pay more attention to the development and utilization of renewable energy. As a renewable green and clean energy, wind energy has been increasing its installed capacity in recent years and is gradually replacing the traditional form of thermal power generation. However, the chaos and instability of the wind have brought great challenges to the stability and security of the power system. Accurate wind speed prediction can greatly improve the utilization efficiency of wind energy in industrial production. Establishing a wind speed prediction model is helpful for the development of wind energy Utilization is of great significance and practical ...

AI Technical Summary

Problems solved by technology

However, the intelligent model is very sensitive to the setting of internal parameters, and it is difficult to obtain the best model parameters, which makes the prediction accuracy of the model fluctuate greatly

Images