Recognition of Electric Machines Boundary as The Constraint of Over Current Relay Coordination in Real Industrial Application with Serial Firefly Algorithm Optimization

R. Vincentius, A. W. Nugraha, P. Talitha, P. Margo, P. Ardyono, H. Mauridhi
{"title":"Recognition of Electric Machines Boundary as The Constraint of Over Current Relay Coordination in Real Industrial Application with Serial Firefly Algorithm Optimization","authors":"R. Vincentius, A. W. Nugraha, P. Talitha, P. Margo, P. Ardyono, H. Mauridhi","doi":"10.1109/DEMPED.2019.8864828","DOIUrl":null,"url":null,"abstract":"The electric machines such as motor, transformer, and generator plays an essential role in the production process of a factory. Due to expansion, there is an intention to invest a new electric machine that expected to work correctly with the existing system. To integrate the new electric machines, the existing protection system has to be evaluated carefully without limiting the machine's capability. Based on the actual experiences, one of the frustrating issues during the commissioning stage is energizing failure due to relay mal-trip. The objective of this paper is to summarize and model the electrical machines in the protection system perspective and offers a new method to coordinate the relays with the electric machines recognition using the artificial intelligence of serial firefly algorithm. This proposed method is endorsed by a real industrial power system and will demonstrate the ability to coordinate the relays without violating the electric machine boundary.","PeriodicalId":397001,"journal":{"name":"2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"119 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DEMPED.2019.8864828","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11

Abstract

The electric machines such as motor, transformer, and generator plays an essential role in the production process of a factory. Due to expansion, there is an intention to invest a new electric machine that expected to work correctly with the existing system. To integrate the new electric machines, the existing protection system has to be evaluated carefully without limiting the machine's capability. Based on the actual experiences, one of the frustrating issues during the commissioning stage is energizing failure due to relay mal-trip. The objective of this paper is to summarize and model the electrical machines in the protection system perspective and offers a new method to coordinate the relays with the electric machines recognition using the artificial intelligence of serial firefly algorithm. This proposed method is endorsed by a real industrial power system and will demonstrate the ability to coordinate the relays without violating the electric machine boundary.
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
基于串行萤火虫算法优化的电机边界识别作为实际工业应用中过电流继电器协调的约束
电动机、变压器、发电机等电机在工厂的生产过程中起着至关重要的作用。由于扩大,有意向投资一台新的电机,期望与现有系统正常工作。为了集成新的电机,必须在不限制机器性能的情况下仔细评估现有的保护系统。根据实际经验,在调试阶段,由于继电器误跳闸导致的上电失败是一个令人沮丧的问题。本文的目的是从保护系统的角度对电机进行总结和建模,并提出了一种利用串行萤火虫算法的人工智能协调继电器与电机识别的新方法。该方法在实际工业电力系统中得到了验证,并证明了在不违反电机边界的情况下协调继电器的能力。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Rotating HF signal injection method improvement based on robust phase-shift estimator for self-sensing control of IPMSM Transient analysis of the external magnetic field via MUSIC methods for the diagnosis of electromechanical faults in induction motors Optimization of magnetic flux paths in transverse flux machines through the use of iron wire wound materials A Survey of Multi-Sensor Systems for Online Fault Detection of Electric Machines On-line Transmission Line Fault Classification using Long Short-Term Memory
×
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