A Pollution Flashover Early Warning Method for Insulators Based on Variable Weight Analytic Hierarchy Process

Abstract

The invention discloses an insulator pollution flashover early warning method on the basis of a variable weight analytic hierarchy process, which comprises the following steps of: (1) carrying out quantitative evaluation on intrinsic factors of an insulator, wherein the intrinsic factors of the insulator comprise a specific creepage distance, insulator hydrophobicity and an insulator aging degree; (2) calculating to obtain intrinsic factor indexs m of the insulator by adopting the variable weight analytic hierarchy process and according to atmospheric environment parameters and meteorological conditions, calculating a surface pollution degree index Pf of the insulator; and (3) according to the product of the intrinsic factor indexs m of the insulator and the surface pollution degree index Pf of the insulator, judging an insulator pollution flashover early warning index R and determining an early warning grade. The method can give out the comprehensive early warning index of the insulator in a region and release the early warning grade and implements scientific insulator pollution flashover early warning so as to effectively improve power supply reliability, reduce economic loss of a power grid and improve reliable operation ability of the power grid.

Description

technical field [0001] The invention relates to the field of insulator pollution flashover early warning for disaster prevention and mitigation in power systems, in particular to an insulator pollution flashover early warning method based on variable weight analytic hierarchy process. Background technique [0002] At present, in the power system, insulators are important components that mechanically connect conductors with different potentials, and their performance plays a key role in the safe operation of the entire power transmission system. Especially for insulators operating outdoors, in addition to having a certain electrical insulation performance and a certain strength of mechanical properties, they should also have the conditions to withstand the invasion of the natural environment and pollution to ensure safe power supply. With the rapid development of the country's economy, there are more and more various types of pollutants, and severe weather such as smog and sa...

AI Technical Summary

Problems solved by technology

[0004] Although the existing insulator online monitoring and early warning system can collect the state parameters of the insulator, such as leakage current, operating voltage level and insulator model, etc., the analysis and prediction processing in the background of the system is obviously lagging behind, and only the input parameters cannot be used. Managers make judgments and analyzes on pollution status, so effective pollution flashover prevention cannot be implemented

Moreover, there are countless insulators in the power system, and it is impractical to install detection devices on a large scale

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