Application of AMR based on powerline communication in outage management system

Kuang Honghai, Wu Zheng-qiu
{"title":"Application of AMR based on powerline communication in outage management system","authors":"Kuang Honghai, Wu Zheng-qiu","doi":"10.1109/SUPERGEN.2009.5347976","DOIUrl":null,"url":null,"abstract":"At present power company challenge is how to quickly and effectually implement outage management, the upgrade of both metering technology and communication system makes the development of automated meter reading (AMR) systems possible. Signals from automated meters can provide extra information for outage detection and decision processing as well as restoration phases of outage management. In this paper an algorithm efficiently using available information from distribution network supervisory control and data acquisition (SCADA) and AMR systems based on power line communication (PLC) to locate outage sources is presented. Using the polling characteristic of AMR based on PLC can identify the scope of outage, by polling these meters adjacent to the meter with a trouble call, the customers affected by outage can be identified; by upstream tracing the connectivity of trouble calls to find a common point, outage locations can be identified. Using AMR in outage management system (OMS) can bring enormous profits to power industry, it reduces electric utility's cost, shortens outage duration and improves consumer's satisfaction.","PeriodicalId":250585,"journal":{"name":"2009 International Conference on Sustainable Power Generation and Supply","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Sustainable Power Generation and Supply","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SUPERGEN.2009.5347976","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13

Abstract

At present power company challenge is how to quickly and effectually implement outage management, the upgrade of both metering technology and communication system makes the development of automated meter reading (AMR) systems possible. Signals from automated meters can provide extra information for outage detection and decision processing as well as restoration phases of outage management. In this paper an algorithm efficiently using available information from distribution network supervisory control and data acquisition (SCADA) and AMR systems based on power line communication (PLC) to locate outage sources is presented. Using the polling characteristic of AMR based on PLC can identify the scope of outage, by polling these meters adjacent to the meter with a trouble call, the customers affected by outage can be identified; by upstream tracing the connectivity of trouble calls to find a common point, outage locations can be identified. Using AMR in outage management system (OMS) can bring enormous profits to power industry, it reduces electric utility's cost, shortens outage duration and improves consumer's satisfaction.
基于电力线通信的AMR在停电管理系统中的应用
如何快速有效地实施停电管理是当前电力公司面临的挑战,计量技术和通信系统的升级使自动抄表系统的发展成为可能。来自自动仪表的信号可以为中断检测和决策处理以及中断管理的恢复阶段提供额外的信息。本文提出了一种有效利用配电网监控与数据采集(SCADA)和基于电力线通信(PLC)的AMR系统的可用信息来定位停电源的算法。利用基于PLC的AMR的轮询特性可以识别停电范围,通过轮询这些与故障报警仪表相邻的仪表,可以识别受停电影响的客户;通过上游跟踪故障呼叫的连接性以找到一个公共点,可以确定停机位置。在停电管理系统(OMS)中应用AMR可以为电力行业带来巨大的利润,降低电力公司的成本,缩短停电时间,提高用户满意度。
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