A method and a device for early warning that spread of mountain fires in power grid

Abstract

The invention provides a method and a device for early warning the spread of mountain fires in a power network. The method comprises the following steps: determining a prediction area; The fire risk factors in the prediction area are obtained, and the fire risk index is calculated according to the fire risk factors, and the fire risk level is determined. The meteorological forecast values of the forecasted area are obtained by WRF meteorological model, and the fire spread velocity, fire line intensity and regional combustion temperature are calculated according to the meteorological forecast values. Output and display Fire Hazard Index, Fire Hazard Grade, Fire Spread Speed, Fire Line Intensity and Zone Burning Temperature. The invention constructs a fire hazard index, The fire danger grade, fire spread speed, fire line intensity and regional combustion temperature are output as the mountain fire spread warning model, in which the fire spread speed, fire line intensity and regional combustion temperature are statistically analyzed by the WRF meteorological model data, which makes the whole model more optimized and can accurately realize the mountain fire forecast.

Description

technical field [0001] The invention relates to the technical field of power grid disaster prevention and mitigation, in particular to a method and device for early warning of wildfire spread in a power grid. Background technique [0002] With the rapid development of my country's power grid, transmission lines stretch for thousands of kilometers, often need to pass through forest areas and agricultural areas, and are extremely vulnerable to failures and trips due to wildfires. Statistics show that line fault trips, power outages and outages caused by wildfires are on the rise year by year. Wildfires not only caused great losses to people's production and life, but also brought new challenges to the safe and stable operation of power grids. Therefore, by carrying out research on the quantification of wildfire behavior in the area covered by the power grid and the early warning model of wildfire spread, the short-term operation reliability level of transmission lines after t...

AI Technical Summary

Problems solved by technology

Although there have been some studies on the behavior of wildfires, due to problems such as large spatial resolution scales, the guidance for the operation and maintenance of wildfire prevention in power grids is not strong

At the same time, due to the lack of parameters related to real-time forecasting of wildfire behavior and sufficient samples, the wildfire behavior prediction model still has large uncertainties, and the accuracy of wildfire prediction is low.

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