Power distribution equipment health evaluation method, system and device

Abstract

The invention provides a power distribution equipment health evaluation method, system and device, and belongs to the technical field of electric power. The method comprises the following steps: acquiring historical operation parameters of power distribution equipment, and taking the historical operation parameters as model training data after data preprocessing; performing equipment health evaluation model training by using the model training data; acquiring a real-time operation parameter X of the power distribution equipment; eMD decomposition is carried out on the real-time operation parameter X, and an IMF component of the real-time operation parameter X is obtained; loading the trained equipment health evaluation model, and calculating a residual value of each IMF component of the real-time operation parameter X by using the trained equipment health evaluation model; adjusting the parameter weight according to the residual value of the IMF component and a variable weight formula, and obtaining the variable weight of the operation parameter X; obtaining a deviation score of each IMF component by using the trained equipment health evaluation model; and calculating an equipment health evaluation score through the deviation score and the parameter weight of the IMF component. According to the invention, the accuracy of comprehensive health evaluation of the current equipment is effectively improved.

Description

technical field [0001] The present invention relates to the field of electric power technology, and more particularly to a method, system and device for health evaluation of power distribution equipment. Background technique [0002] At present, the condition maintenance of power distribution equipment is in the initial research stage, not only lacks a large amount of effective equipment state quantity data information, but also lacks the evaluation indicators and methods for the health level of the equipment, so that the condition maintenance of power distribution equipment has not yet formed effective results, more lack Practical application. [0003] For equipment status health assessment methods, many studies mainly carry out equipment health assessment from cluster analysis, model fitting analysis and decay function analysis, but the application of these methods has certain limitations. First, the clustering method has strict requirements on the concavity and convexity...

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Problems solved by technology

[0003] For the health evaluation methods of equipment status, many studies mainly carry out equipment health evaluation from cluster analysis, model fitting analysis and decay function analysis, but the application of these methods has certain limitations.

First of all, the clustering method has strict requirements on the concavity and convexity of the data, and the clustering effect is strictly dependent on the shape of the data; secondly, due to the nonlinear and random complexity of the characteristic data, it increases the difficulty of evaluating the health status of the equipment, resulting in the difficulty of model fitting. Analysis and decay function analysis are less tolerant to data

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