Method for icing prediction and automatic correction of power transmission line based on data driving

Abstract

The invention provides a method for icing prediction and automatic correction of a power transmission line based on data driving. According to the method for icing prediction and automatic correction of the power transmission line based on data driving, the power transmission line, an icing monitoring terminal, an icing monitoring terminal acquired data processing system, a historical information base, a self-correction icing prediction module, an icing prediction result library and an icing prediction result display IED are adopted, the self-correction icing prediction module comprises a result comparison submodule, a module correction submodule and a power transmission line icing prediction model, and the historical data such as the temperature, the humidity, the wind speed and the time-effect factors around the power transmission line are contained in the historical information base. Data in the historical information base are analyzed for modeling according to the nonlinear time series analysis method and the BT neural network learning method, so that the power transmission line icing prediction model is established for prediction, the icing monitoring terminal is installed on the power transmission line so that icing parameter data can be acquired in real time, the icing monitoring terminal acquired data processing system is used for calculation and triggering the self-correction icing prediction module to operate, and the self-adaption and the accuracy of the power transmission line icing prediction model are improved.

Description

technical field [0001] The invention relates to a data-driven transmission line icing prediction and self-correction method, belonging to the technical fields of electric power engineering and information processing. Background technique [0002] Icing of transmission lines is one of the main natural disasters that affect the safe and stable operation of transmission lines every winter. It may cause various accidents such as galloping, icing flashover, de-icing jump, disconnection and even tower collapse on transmission lines, which poses a threat to the safety of the power grid. serious hazard. Predicting the icing situation of transmission lines in advance can effectively prevent the occurrence of icing disasters. However, due to the dynamic, uncertain, nonlinear, abrupt and intermittent characteristics of the icing process of transmission lines, the prediction of icing on transmission lines is difficult. The model is complex and not very accurate. [0003] The data-driv...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the problem that the transmission line icing prediction model is complex and the accuracy is not high, and the data-driven model needs to be manually preset for a period of time and repeated learning and training

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