Power grid icing galloping risk prediction method and system, and storage medium

Abstract

The invention relates to the technical field of meteorological disasters of an electric power system, and discloses a power grid icing galloping risk prediction method and system, and a storage mediumin order to alleviate galloping disasters of power transmission lines of the power grid and improve the capability for dealing with icing galloping disasters and the safe and stable operation level of the power transmission lines of the power grid. The method includes: initializing parameter values of a restricted Boltzmann machine algorithm according to a training sample data set, then repeatedly learning and updating the parameter values until the restricted Boltzmann machine algorithm satisfies the convergence of the training sample data set, verifying the prediction precision Eavg of therestricted Boltzmann machine algorithm through verification of the sample data set, and continuing updating the parameters until the prediction precision is satisfied if the prediction precision Eavgis not in a preset precision; and further establishing a power grid icing galloping prediction model based on a back propagation algorithm, finally adjusting parameters of the power grid icing galloping prediction model according to the back propagation algorithm, and obtaining the icing galloping prediction model.

Description

technical field [0001] The invention relates to the technical field of meteorological disasters in electric power systems, in particular to a method, system and storage medium for predicting the risk of ice-covered galloping of a power grid. Background technique [0002] Transmission line galloping means that in winter, when the wind in the high horizontal direction changes to a conductor with a non-circular cross-section due to the icing of the line, a certain amount of aerodynamic force will be generated, which will induce a low-frequency, large-amplitude nonlinearity in the conductor. self-excited vibration. Once the line gallops, due to the high galloping energy of the line, it will cause frequent tripping and power outages, disconnection, and tower collapse, which will cause great harm to safe operation and cause major economic losses and social impacts. The problem of galloping in transmission lines has become one of the biggest threats to line safety. However, my co...

AI Technical Summary

Problems solved by technology

However, neither the meteorological threshold method nor the meteorological amplitude hybrid method considers the meteorological characteristic factors of historical galloping, and the meteorological threshold method cannot be affected by the duration of the galloping process and the magnitude of the galloping amplitude, which leads to the objectivity of galloping prediction. Reduced disadvantages; although the dancing amplitude method can estimate the size of the dancing amplitude, because it is based on the image data fed back from the monitoring data, the real-time performance of the data cannot be guaranteed, which will cause the dancing prediction time to be untimely, and the effect is not ideal

Images