Increase of Efficiency of Relay Protection Reliability in Modes with Deep Saturation of Current Transformers Using The Methodology Based on The Application of Artificial Neural Networks

E. Voloshin, A. Voloshin, S. Usachev, A. Ententeev, B. Maksudov, S. Livshits
{"title":"Increase of Efficiency of Relay Protection Reliability in Modes with Deep Saturation of Current Transformers Using The Methodology Based on The Application of Artificial Neural Networks","authors":"E. Voloshin, A. Voloshin, S. Usachev, A. Ententeev, B. Maksudov, S. Livshits","doi":"10.1109/RPA.2018.8537208","DOIUrl":null,"url":null,"abstract":"There are different types of tasks in power engineering, which are solved by means of hardware and software complexes [1]. Some of the issues might be resolved within short period using relatively simple algorithms. Other issues require collecting data for estimating tendency of changes in condition of operating equipment by mathematical models. There are tasks, which cannot be solved with the help of mathematical model's synthesis, which is based on the passport or other data about the equipment [2]. This kind of tasks consists of forecasting the technical condition of the equipment for maintenance planning according to the actual equipment state, forecasting of emergency situations, classification of operating modes of the electric power facilities, different types of restoration of initial signals etc.","PeriodicalId":345204,"journal":{"name":"2018 International Youth Scientific and Technical Conference Relay Protection and Automation (RPA)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Youth Scientific and Technical Conference Relay Protection and Automation (RPA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RPA.2018.8537208","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

There are different types of tasks in power engineering, which are solved by means of hardware and software complexes [1]. Some of the issues might be resolved within short period using relatively simple algorithms. Other issues require collecting data for estimating tendency of changes in condition of operating equipment by mathematical models. There are tasks, which cannot be solved with the help of mathematical model's synthesis, which is based on the passport or other data about the equipment [2]. This kind of tasks consists of forecasting the technical condition of the equipment for maintenance planning according to the actual equipment state, forecasting of emergency situations, classification of operating modes of the electric power facilities, different types of restoration of initial signals etc.
基于人工神经网络的方法提高电流互感器深饱和模式下继电保护可靠性效率
电力工程中有不同类型的任务,这些任务是通过硬件和软件综合体来解决的[1]。使用相对简单的算法,一些问题可能在短时间内得到解决。其他问题需要通过数学模型收集数据来估计运行设备状态变化的趋势。有些任务是无法通过数学模型的综合来解决的,而数学模型的综合是基于设备的护照或其他数据[2]。这类任务包括预测设备的技术状况,根据设备的实际状态进行维修计划,预测紧急情况,对电力设施的运行模式进行分类,对不同类型的初始信号进行恢复等。
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 求助全文
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:481959085
Book学术官方微信