电力系统暂态稳定研究中感应电机模型的改进

D. Ruiz, T. Asiain, D. Olguin
{"title":"电力系统暂态稳定研究中感应电机模型的改进","authors":"D. Ruiz, T. Asiain, D. Olguin","doi":"10.1109/PTC.1999.826501","DOIUrl":null,"url":null,"abstract":"This paper describes steady state and dynamic induction motor reduced order models improvement for the simulation of the dynamic performance of power systems. The steady state model is suited for power flow programs and is one solution to the problem of initializing the dynamic models of the induction motor. Dynamic models are in a reference frame that takes into account the transient frequency changes of the system and represent the damping effects of these devices correctly.","PeriodicalId":101688,"journal":{"name":"PowerTech Budapest 99. Abstract Records. (Cat. No.99EX376)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Improvement of induction motors models for power system transient stability studies\",\"authors\":\"D. Ruiz, T. Asiain, D. Olguin\",\"doi\":\"10.1109/PTC.1999.826501\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes steady state and dynamic induction motor reduced order models improvement for the simulation of the dynamic performance of power systems. The steady state model is suited for power flow programs and is one solution to the problem of initializing the dynamic models of the induction motor. Dynamic models are in a reference frame that takes into account the transient frequency changes of the system and represent the damping effects of these devices correctly.\",\"PeriodicalId\":101688,\"journal\":{\"name\":\"PowerTech Budapest 99. Abstract Records. (Cat. No.99EX376)\",\"volume\":\"134 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-08-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"PowerTech Budapest 99. Abstract Records. (Cat. No.99EX376)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PTC.1999.826501\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"PowerTech Budapest 99. Abstract Records. (Cat. No.99EX376)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PTC.1999.826501","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

本文介绍了用于电力系统动态性能仿真的稳态和动态感应电机降阶模型的改进。稳态模型适用于潮流规划,是解决异步电动机动态模型初始化问题的一种方法。动态模型是在一个参考系中,它考虑了系统的瞬态频率变化,并正确地表示了这些器件的阻尼效应。
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
Improvement of induction motors models for power system transient stability studies
This paper describes steady state and dynamic induction motor reduced order models improvement for the simulation of the dynamic performance of power systems. The steady state model is suited for power flow programs and is one solution to the problem of initializing the dynamic models of the induction motor. Dynamic models are in a reference frame that takes into account the transient frequency changes of the system and represent the damping effects of these devices correctly.
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
The role of the power companies in the fuel cell market A smart security screening approach for large scale power systems Detection of insulator ageing State estimation of electric power system for new technological systems Adaptive equivalenting for calculations of electric power system state
×
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