基于MTL模型的变压器绕组接地短路仿真

Wenchang Song, Zongyang Wang, Shuang Tian, Jun Guo, Yuhao Chen, Yan-zhao Xie
{"title":"基于MTL模型的变压器绕组接地短路仿真","authors":"Wenchang Song, Zongyang Wang, Shuang Tian, Jun Guo, Yuhao Chen, Yan-zhao Xie","doi":"10.1109/ICPET55165.2022.9918261","DOIUrl":null,"url":null,"abstract":"Internal overvoltage of transformer caused by VFTO can threaten the security of the transformer. When the pulse wave invades the transformer with short-circuit fault to ground, the extremely uneven voltage distribution in the internal windings will not only endanger the safety of windings but also affect the stability of power system. The internal distribution parameters of the transformer winding model is necessary for the analysis of the short-circuit fault to ground based on MTL theory. By establishing a distributed parameter model of the transformer winding model with 16 turns, this paper analyzes the influence of the variation of distribution parameters in case of short-circuit to ground fault, then the modified short-circuit model to ground is applied to a transformer winding model with 180 turns. The results show that the modified model can well simulate the change of short-circuit fault to ground. The voltage waveform distribution between turns is extremely uneven.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Simulation of Short Circuit to Ground of Transformer Winding Based on MTL Model\",\"authors\":\"Wenchang Song, Zongyang Wang, Shuang Tian, Jun Guo, Yuhao Chen, Yan-zhao Xie\",\"doi\":\"10.1109/ICPET55165.2022.9918261\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Internal overvoltage of transformer caused by VFTO can threaten the security of the transformer. When the pulse wave invades the transformer with short-circuit fault to ground, the extremely uneven voltage distribution in the internal windings will not only endanger the safety of windings but also affect the stability of power system. The internal distribution parameters of the transformer winding model is necessary for the analysis of the short-circuit fault to ground based on MTL theory. By establishing a distributed parameter model of the transformer winding model with 16 turns, this paper analyzes the influence of the variation of distribution parameters in case of short-circuit to ground fault, then the modified short-circuit model to ground is applied to a transformer winding model with 180 turns. The results show that the modified model can well simulate the change of short-circuit fault to ground. The voltage waveform distribution between turns is extremely uneven.\",\"PeriodicalId\":355634,\"journal\":{\"name\":\"2022 4th International Conference on Power and Energy Technology (ICPET)\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 4th International Conference on Power and Energy Technology (ICPET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPET55165.2022.9918261\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 4th International Conference on Power and Energy Technology (ICPET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPET55165.2022.9918261","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

变频器引起的变压器内部过电压会威胁到变压器的安全。当脉冲波侵入具有短路故障的变压器接地时,绕组内部电压分布极不均匀,不仅会危及绕组的安全,而且会影响电力系统的稳定性。变压器绕组模型的内部分布参数是基于MTL理论分析短路接地故障所必需的。通过建立16匝变压器绕组模型的分布参数模型,分析了短路接地故障时分布参数变化的影响,并将修正的短路接地模型应用于180匝变压器绕组模型。结果表明,修正后的模型能较好地模拟短路故障对地的变化。匝间电压波形分布极不均匀。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Simulation of Short Circuit to Ground of Transformer Winding Based on MTL Model
Internal overvoltage of transformer caused by VFTO can threaten the security of the transformer. When the pulse wave invades the transformer with short-circuit fault to ground, the extremely uneven voltage distribution in the internal windings will not only endanger the safety of windings but also affect the stability of power system. The internal distribution parameters of the transformer winding model is necessary for the analysis of the short-circuit fault to ground based on MTL theory. By establishing a distributed parameter model of the transformer winding model with 16 turns, this paper analyzes the influence of the variation of distribution parameters in case of short-circuit to ground fault, then the modified short-circuit model to ground is applied to a transformer winding model with 180 turns. The results show that the modified model can well simulate the change of short-circuit fault to ground. The voltage waveform distribution between turns is extremely uneven.
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
期刊最新文献
Transient Overvoltage Analysis and Rapid Estimation for Hybrid Wind-Thermal Power Bundling Supply System Randomized Branching Strategy in Solving SCUC Model Safety Warning of Lithium-Ion Battery Energy Storage Cabin by Image Recogonition Market Coupling in Europe – Principles and Characteristics Analysis of the Development of Distributed Wind Power in China
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1