电力系统应急控制与技术状态诊断的同步电机自适应模型

A. Moiseichenkov, P. Kovalenko, M. Senyuk, V. Mukhin
{"title":"电力系统应急控制与技术状态诊断的同步电机自适应模型","authors":"A. Moiseichenkov, P. Kovalenko, M. Senyuk, V. Mukhin","doi":"10.1109/usec50097.2020.9281185","DOIUrl":null,"url":null,"abstract":"The adaptive model of the synchronous machine for electric mode control with parameter selection based on operating mode data is presented in the paper. The structure of the model changes depending on the set of measurements. The mathematical description of the model core is given. The example of calculation for measurement results of electric mode parameters of the hydro-generator with full rated power 370 MVA during the real electromechanical transient process is conducted and explained. The inertia moment of the turbine’s and hydro-generator’s rotating mass was determined based on the calculation. The suggested adaptive model can be applied to emergency control tasks, including post-event emergency control and estimation of technical conditions of synchronous machines. It is shown, that response of adaptive model of the synchronous machine depends on measurement sampling rate. The adaptive model of the synchronous machine can be used for represent a complex load and an external equivalent of power system.","PeriodicalId":236445,"journal":{"name":"2020 Ural Smart Energy Conference (USEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Synchronous Machine Adaptive Model for Power System Emergency Control and Technical State Diagnostic\",\"authors\":\"A. Moiseichenkov, P. Kovalenko, M. Senyuk, V. Mukhin\",\"doi\":\"10.1109/usec50097.2020.9281185\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The adaptive model of the synchronous machine for electric mode control with parameter selection based on operating mode data is presented in the paper. The structure of the model changes depending on the set of measurements. The mathematical description of the model core is given. The example of calculation for measurement results of electric mode parameters of the hydro-generator with full rated power 370 MVA during the real electromechanical transient process is conducted and explained. The inertia moment of the turbine’s and hydro-generator’s rotating mass was determined based on the calculation. The suggested adaptive model can be applied to emergency control tasks, including post-event emergency control and estimation of technical conditions of synchronous machines. It is shown, that response of adaptive model of the synchronous machine depends on measurement sampling rate. The adaptive model of the synchronous machine can be used for represent a complex load and an external equivalent of power system.\",\"PeriodicalId\":236445,\"journal\":{\"name\":\"2020 Ural Smart Energy Conference (USEC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 Ural Smart Energy Conference (USEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/usec50097.2020.9281185\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Ural Smart Energy Conference (USEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/usec50097.2020.9281185","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

提出了基于运行模式数据选择参数的同步电机电模控制自适应模型。模型的结构根据测量的集合而变化。给出了模型芯的数学描述。给出了实际机电暂态过程中满载额定功率370 MVA水轮发电机电态参数测量结果的计算实例,并进行了说明。在此基础上确定了水轮机和水轮发电机旋转质量的转动惯量。所提出的自适应模型可用于应急控制任务,包括事件后应急控制和同步电机技术条件的估计。结果表明,同步电机自适应模型的响应取决于测量采样率。同步电机的自适应模型可用于表示复杂负载和电力系统的外部等效。
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
Synchronous Machine Adaptive Model for Power System Emergency Control and Technical State Diagnostic
The adaptive model of the synchronous machine for electric mode control with parameter selection based on operating mode data is presented in the paper. The structure of the model changes depending on the set of measurements. The mathematical description of the model core is given. The example of calculation for measurement results of electric mode parameters of the hydro-generator with full rated power 370 MVA during the real electromechanical transient process is conducted and explained. The inertia moment of the turbine’s and hydro-generator’s rotating mass was determined based on the calculation. The suggested adaptive model can be applied to emergency control tasks, including post-event emergency control and estimation of technical conditions of synchronous machines. It is shown, that response of adaptive model of the synchronous machine depends on measurement sampling rate. The adaptive model of the synchronous machine can be used for represent a complex load and an external equivalent of power system.
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
Simulation of an Applied Microgrid Control System Based on a Digital Platform Limitations of Traveling Wave Fault Location USEC 2020 List Reviewer Page Balancing Unpredictable Load and Intermittent Renewables by Semi-Dispatchable Distributed Generation Landfill Gas Generation Projects Implementation
×
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