Abstract
Timely diagnosis of power transformers is an essential component of ensuring reliable and safe operation of power stations and substations, on which the reliability of the power system depends. Detection of defects in the initial stage allows to maintain reliable operation of transformers, helps to define the "life cycle" and simplify the planning of their replacement. The paper presents an analysis of existing approaches to the creation of power equipment diagnostics systems using the example of power transformers. A neural network model has been developed, demonstrating the possibility of using power transformers to estimate the current residual resource based on the analysis of available diagnostic data.
Highlights
At present special attention is paid to creation of all conditions of normal accident-free and efficient operation of electrical equipment of electro-energy system (EES) [1]
This system allows you to monitor the compliance of the current parameters of the transformer with regulatory requirements; perform automated expert diagnostics of defects and evaluation of the transformer technical condition and transfer it to the higher level APCS-TP system for use in systems for monitoring the state of process units and process chains of electric power transmission and conversion
The developed neural network model demonstrates the possibility of its application for estimating the current residual life of power transformers based on the analysis of diagnostic data
Summary
At present special attention is paid to creation of all conditions of normal accident-free and efficient operation of electrical equipment of electro-energy system (EES) [1]. − Analysis of technical features of transformers (main parameters of the transformer, results of acceptance tests of the transformer at the manufacturer, main parameters and results of the Llive-Line Working (LLW) tests, main parameters and results of the input tests, identification of areas with minimal reserves of electrical strength of insulation, assessment of mechanical resistance of windings in case of short circuit, evaluation of temperature distribution in operating modes and identification of the most heated zones, analysis of operating experience of transformers of this type and transformers of similar design);. − Analysis of transformer operating conditions (analysis of operating modes, results of preventive tests and determination of characteristics that differ from the norms, analysis of faults detected during operation, their nature and methods of elimination, external inspection of the transformer);.
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