基于带电检测的变压器状态维护优化研究

Jieqing Deng, Chao Wei, Jiansheng Li, Houying Li, Guangyao Wang, Youyuan Wang
{"title":"基于带电检测的变压器状态维护优化研究","authors":"Jieqing Deng, Chao Wei, Jiansheng Li, Houying Li, Guangyao Wang, Youyuan Wang","doi":"10.1109/EIC43217.2019.9046594","DOIUrl":null,"url":null,"abstract":"At present, the maintenance strategy for transformers mainly focus on the optimization of maintenance mode and time, while the influence of state parameter detection mode on power grid is often ignored. Considering the popularization and application of live detection technology, an optimization method of transformer state maintenance strategy based on live detection is proposed, which considers the economy and reliability. Firstly, on the basis of defining the key detection parameters of power outage test, an alternative analysis model based on online oil chromatographic data is constructed for replacing power outage test parameters. And then the average value of absolute error is introduced as an evaluation index to determine whether to replace or extend the power outage test, which is called the formulation of optimal scheme. Finally, a quantitative model of acquisition risk of state parameters and transformer failure risk is established with the comprehensive optimization of reliability and economy as decision variables. The example of maintenance decision-making for a 220kV transformer shows that the state maintenance based on live detection can reduce the maintenance cost on the principle of ensuring safe and reliable operation of transformer.","PeriodicalId":340602,"journal":{"name":"2019 IEEE Electrical Insulation Conference (EIC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Research on Transformer Condition-based Maintenance Optimization Based on Live Detection\",\"authors\":\"Jieqing Deng, Chao Wei, Jiansheng Li, Houying Li, Guangyao Wang, Youyuan Wang\",\"doi\":\"10.1109/EIC43217.2019.9046594\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"At present, the maintenance strategy for transformers mainly focus on the optimization of maintenance mode and time, while the influence of state parameter detection mode on power grid is often ignored. Considering the popularization and application of live detection technology, an optimization method of transformer state maintenance strategy based on live detection is proposed, which considers the economy and reliability. Firstly, on the basis of defining the key detection parameters of power outage test, an alternative analysis model based on online oil chromatographic data is constructed for replacing power outage test parameters. And then the average value of absolute error is introduced as an evaluation index to determine whether to replace or extend the power outage test, which is called the formulation of optimal scheme. Finally, a quantitative model of acquisition risk of state parameters and transformer failure risk is established with the comprehensive optimization of reliability and economy as decision variables. The example of maintenance decision-making for a 220kV transformer shows that the state maintenance based on live detection can reduce the maintenance cost on the principle of ensuring safe and reliable operation of transformer.\",\"PeriodicalId\":340602,\"journal\":{\"name\":\"2019 IEEE Electrical Insulation Conference (EIC)\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE Electrical Insulation Conference (EIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EIC43217.2019.9046594\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Electrical Insulation Conference (EIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EIC43217.2019.9046594","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

目前,变压器的维护策略主要集中在维护方式和时间的优化上,而状态参数检测方式对电网的影响往往被忽视。考虑到带电检测技术的推广应用,提出了一种兼顾经济性和可靠性的基于带电检测的变压器状态维护策略优化方法。首先,在确定停电试验关键检测参数的基础上,构建基于在线油色谱数据的替代分析模型,替代停电试验参数;然后引入绝对误差的平均值作为评价指标,确定是否更换或延长停电试验,称为最优方案的制定。最后,以可靠性和经济性综合优化为决策变量,建立了状态参数获取风险和变压器失效风险的定量模型。220kV变压器维修决策实例表明,基于带电检测的状态维修可以在保证变压器安全可靠运行的前提下降低维修成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Transformer Condition-based Maintenance Optimization Based on Live Detection
At present, the maintenance strategy for transformers mainly focus on the optimization of maintenance mode and time, while the influence of state parameter detection mode on power grid is often ignored. Considering the popularization and application of live detection technology, an optimization method of transformer state maintenance strategy based on live detection is proposed, which considers the economy and reliability. Firstly, on the basis of defining the key detection parameters of power outage test, an alternative analysis model based on online oil chromatographic data is constructed for replacing power outage test parameters. And then the average value of absolute error is introduced as an evaluation index to determine whether to replace or extend the power outage test, which is called the formulation of optimal scheme. Finally, a quantitative model of acquisition risk of state parameters and transformer failure risk is established with the comprehensive optimization of reliability and economy as decision variables. The example of maintenance decision-making for a 220kV transformer shows that the state maintenance based on live detection can reduce the maintenance cost on the principle of ensuring safe and reliable operation of transformer.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信