Design and verification of enhancement algorithm for small sample data of power grid meteorology based on neural network

Abstract

The purpose of this paper is to extract the effective information of power grid operation by using various meteorological monitoring and forecasting information. In all meteorological disasters, considering that the damage to power facilities caused by strong wind accounts for 68% of the total disasters, and considering that the snow and ice disasters in 2008 caused serious losses in large areas, this paper makes prediction for meteorological disasters and derivative disasters such as strong wind, ice, snow in a certain area, studies the probability of grid failure caused by ice and estimates the severity of snow to estimate the probability of grid failure caused by ice. Finally, a decision support system for comprehensive prevention of power grid faults is established. The research and application of this system can scientifically arrange the planning and operation of power grid dispatching, and effectively realize the disaster prevention and reduction of power grid facilities and the refined management of power grid safe operation.