Abstract
As the critical component of power control and transformation in UHV transmission link, the effective management of UHV Transformer's whole life quality cycle is an important guarantee for the safe and stable operation of power grid. In this paper, through the analysis of UHV Transformer quality management mode, on the basis of summarizing the existing management shortcomings, the cloud matter-element model of UHV Transformer quality statistics is constructed. This model realizes the uncertain transformation of qualitative concept and quantitative value through specific algorithm, and uses shorter time and better scheme to deal with the existing or potential quality problems of substation equipment. In this study, the scientific selection of quality statistical model is used to build the quality management system, carry out the operation status evaluation of UHV Transformer, and optimize and improve the quality control process and control measures.
Highlights
The process of UHV transformer quality control is a comprehensive evaluation problem of multi-level index system
Due to the influence of test environment, instrument accuracy and expert experience, the test data of different detection methods are random, and there is no unified standard for the classification of quality evaluation grade of substation equipment[1,2,3]
Because of the characteristics of high voltage and large capacity in UHV project, UHV transformer has special structure compared with conventional transformer
Summary
The process of UHV transformer quality control is a comprehensive evaluation problem of multi-level index system. By dividing indicators into original information according to specific stages, the accuracy and rationality of evaluation results can be improved. Due to the influence of test environment, instrument accuracy and expert experience, the test data of different detection methods are random, and there is no unified standard for the classification of quality evaluation grade of substation equipment[1,2,3]. In the quantitative processing of indicators, we need to rely on the experience of experts, which brings great uncertainty, which increases the difficulty of data collection and processing. It is necessary to select appropriate evaluation methods to evaluate the operation status of substation equipment, and reasonably analyse and process all kinds of data and uncertain information[4].
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