Condition Assessment Method for Power Transformers Based on Variable Weight Principle and Fuzzy Comprehensive Evaluation

2020 7th International Forum on Electrical Engineering and Automation (IFEEA) Pub Date : 2020-09-01 DOI:10.1109/IFEEA51475.2020.00185

Gui-rong Tan, Dan-dan Liu, Yijing Shi, Ziyang Yang

{"title":"Condition Assessment Method for Power Transformers Based on Variable Weight Principle and Fuzzy Comprehensive Evaluation","authors":"Gui-rong Tan, Dan-dan Liu, Yijing Shi, Ziyang Yang","doi":"10.1109/IFEEA51475.2020.00185","DOIUrl":null,"url":null,"abstract":"Transformer evaluation system is complicated and includes many uncertainties, which seriously affect the diagnosis results in the traditional power transformer. In order to improve the accuracy of power transformer, a condition assessment method for power transformers based on variable weight principle and fuzzy comprehensive evaluation is proposed in this paper. The key evaluation factors of the transformers state are established. Based on variable weight principle, a balanced function and the improved trapezium and triangle membership function are introduced to adjust the weight coefficient of various evaluation factors determined by analytic hierarchy process, which can get the matrix of fuzzy evaluation. Finally, the health status of power transformers is evaluated, which can reflect the operation status of transformers. The experimental results reveal that the accuracy of the method can reach to 91%, which can accurately assess the health status of the power transformer.","PeriodicalId":285980,"journal":{"name":"2020 7th International Forum on Electrical Engineering and Automation (IFEEA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 7th International Forum on Electrical Engineering and Automation (IFEEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IFEEA51475.2020.00185","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 6

Abstract

Transformer evaluation system is complicated and includes many uncertainties, which seriously affect the diagnosis results in the traditional power transformer. In order to improve the accuracy of power transformer, a condition assessment method for power transformers based on variable weight principle and fuzzy comprehensive evaluation is proposed in this paper. The key evaluation factors of the transformers state are established. Based on variable weight principle, a balanced function and the improved trapezium and triangle membership function are introduced to adjust the weight coefficient of various evaluation factors determined by analytic hierarchy process, which can get the matrix of fuzzy evaluation. Finally, the health status of power transformers is evaluated, which can reflect the operation status of transformers. The experimental results reveal that the accuracy of the method can reach to 91%, which can accurately assess the health status of the power transformer.

查看原文本刊更多论文

基于变权原理和模糊综合评价的电力变压器状态评价方法

传统电力变压器的诊断系统复杂，存在许多不确定因素，严重影响了诊断结果。为了提高电力变压器状态评估的准确性，提出了一种基于变权原理和模糊综合评价的电力变压器状态评估方法。建立了变压器状态的关键评价因素。基于变权原理，引入平衡函数和改进的梯形和三角形隶属函数，对层次分析法确定的各评价因子的权重系数进行调整，得到模糊评价矩阵。最后对电力变压器的健康状态进行评估，以反映变压器的运行状态。实验结果表明，该方法的准确率可达91%，能够准确地评估电力变压器的健康状态。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

2020 7th International Forum on Electrical Engineering and Automation (IFEEA)

自引率

0.00%

发文量