Adjacent grid temperature stratification detail forecast method and system

Abstract

The invention relates to the field of power line equipment maintenance, and discloses an adjacent grid temperature stratification detail forecast method and system. The method and the system aim to increase the vertical temperature resolution of a point where swinging occurs easily and are high in precision, high in computation speed and wide in range. The method includes the steps that firstly, according to the ground temperature lapse rate and related temperature data, the temperatures at the elevations of ground above mean sea-level, corresponding to a to-be-analyzed swinging point in the vertical direction, of adjacent grid points in a corresponding series of grids are calculated; then, according to the calculated values of the temperatures, the temperature at the elevation of ground above mean sea-level of the to-be-analyzed swinging point is calculated with a bilinear interpolation method; meanwhile, according to the vertical temperature lapse rate between every two adjacent grids of related grid points, the corresponding vertical temperature lapse rate, between the adjacent grids, of the to-be-analyzed swinging point is calculated with a weighted average method; finally, according to the temperature at the elevation of ground above mean sea-level of the to-be-analyzed swinging point and the vertical temperature lapse rate between every two adjacent grids, the temperature data of corresponding detailed layers is calculated.

Description

technical field [0001] The invention relates to the field of maintenance of transmission line equipment, in particular to a method and system for stratified and refined prediction of adjacent grid temperature. Background technique [0002] In recent years, the scale of the power grid has expanded rapidly, and transmission lines inevitably pass through ice-covered and galloping areas. Ice-coated galloping will cause damage to hardware, disconnection and other problems, and in severe cases, it will also cause tower collapse, which seriously threatens the safe operation of the vast power grid. . [0003] With global climate change and frequent occurrence of various disasters, the problem of grid icing galloping has become more prominent, which has promoted the rapid development of icing galloping prediction technology, and grid icing galloping forecast has been transformed from traditional small-scale empirical forecasting to larger-scale numerical values Forecasting, however,...

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Problems solved by technology

[0002] In recent years, the scale of the power grid has expanded rapidly, and transmission lines inevitably pass through ice-covered and galloping areas. Ice-coated galloping will cause damage to hardware, disconnection and other problems, and in severe cases, it will also cause tower collapse, which seriously threatens the safe operation of the vast power grid.

[0003] With global climate change and frequent occurrence of various disasters, the problem of grid icing galloping has become more prominent, which has promoted the rapid development of icing galloping prediction technology, and grid icing galloping forecast has been transformed from traditional small-scale empirical forecasting to larger-scale numerical values Forecasting, however, studies have found that ice-covered galloping of power grids often occurs under light ice conditions, and the calculation of light ice not only puts forward higher requirements for fine-grained forecasting of the temperature on the ground, but also on the high altitude; The predictions are all on regular grid points. However, in actual situations, the distribution of icing and galloping points on the power grid is discrete, and they are often located in regular grids. For such discrete non-grid point calculations, it is difficult for the numerical model to be completely accurate. Applicable, it needs to be calculated by interpolation

Traditional temperature fine-grained interpolation mainly uses statistical methods, which do not take into account the physical laws of vertical temperature changes, resulting in errors in calculation results

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