Low voltage feeder identification for smart grids with standard narrowband PLC smart meters

L. Marron, X. Osorio, Asier Llano, A. Arzuaga, A. Sendin
{"title":"Low voltage feeder identification for smart grids with standard narrowband PLC smart meters","authors":"L. Marron, X. Osorio, Asier Llano, A. Arzuaga, A. Sendin","doi":"10.1109/ISPLC.2013.6525836","DOIUrl":null,"url":null,"abstract":"Electricity grids are adding the Smart Grid concept to the network. Utilities are engaged in this important investment in order to build Smart Metering networks, as a first step towards the Smart Grid. Nevertheless, the objective is to go further, and take advantage of all the inherent capabilities of this deployment obtaining additional operational applications. In this context, Low Voltage (LV) Distribution Electricity Grids are the most unknown and manually controlled elements of the electricity grid, so operation in this section of the grid needs to be improved. This paper describes a mechanism to obtain the LV feeder identification of all the connected smart electricity meters. The proposal contained in this paper is based on real field deployments with PRIME technology, and it is as a contribution to LV grid control with applications in electricity grid planning, transformer balance, fault location and accurate point of supply identification. The proposed approach, based in standard narrowband PRIME PLC smart meters, minimizes the investment. This paper describes the algorithm and the real field tests performed, showing how LV feeder detection concept has been successfully validated for PRIME PLC Smart Metering networks.","PeriodicalId":415075,"journal":{"name":"2013 IEEE 17th International Symposium on Power Line Communications and Its Applications","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"24","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE 17th International Symposium on Power Line Communications and Its Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPLC.2013.6525836","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 24

Abstract

Electricity grids are adding the Smart Grid concept to the network. Utilities are engaged in this important investment in order to build Smart Metering networks, as a first step towards the Smart Grid. Nevertheless, the objective is to go further, and take advantage of all the inherent capabilities of this deployment obtaining additional operational applications. In this context, Low Voltage (LV) Distribution Electricity Grids are the most unknown and manually controlled elements of the electricity grid, so operation in this section of the grid needs to be improved. This paper describes a mechanism to obtain the LV feeder identification of all the connected smart electricity meters. The proposal contained in this paper is based on real field deployments with PRIME technology, and it is as a contribution to LV grid control with applications in electricity grid planning, transformer balance, fault location and accurate point of supply identification. The proposed approach, based in standard narrowband PRIME PLC smart meters, minimizes the investment. This paper describes the algorithm and the real field tests performed, showing how LV feeder detection concept has been successfully validated for PRIME PLC Smart Metering networks.
采用标准窄带PLC智能电表的智能电网低压馈线识别
电网正在将智能电网概念添加到网络中。为了建设智能电表网络,公用事业公司参与了这项重要的投资,作为迈向智能电网的第一步。然而,我们的目标是更进一步,并利用此部署的所有固有功能获得额外的操作应用程序。在这种情况下,低压配电网是电网中最不为人所知和人工控制的部分,因此需要改进这部分电网的运行。本文描述了一种获取所有联网智能电表低压馈线识别的机制。本文提出的方案基于PRIME技术的实际现场部署,在电网规划、变压器平衡、故障定位和准确的供电点识别等方面为低压电网控制做出了贡献。提出的方法,基于标准窄带PRIME PLC智能电表,最大限度地减少了投资。本文描述了该算法和实际现场测试,展示了低压馈线检测概念如何在PRIME PLC智能计量网络中成功验证。
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