A Resilient Logical-Based Localization of Faulted Section Considering Multiple Loss of Information

IF 9.8 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Smart Grid Pub Date : 2025-01-01 DOI:10.1109/TSG.2024.3524552
Ekta Purwar;Bhavesh R. Bhalja
{"title":"A Resilient Logical-Based Localization of Faulted Section Considering Multiple Loss of Information","authors":"Ekta Purwar;Bhavesh R. Bhalja","doi":"10.1109/TSG.2024.3524552","DOIUrl":null,"url":null,"abstract":"Localizing faults (LoF) using online data from fault-indicating devices (FIDs) poses a significant challenge during the unavailability of information due to hidden relay failures or communication issues. Addressing this challenge, this paper introduces (i) Back-and-Forth Search algorithm and (ii) Clockwise-Counter-clockwise algorithm, which effectively leverages current direction data from network FIDs to locate faulted zones in distribution networks, even when facing multiple information losses. The proposed algorithms stand out due to their adaptable design, functioning seamlessly across various network configurations (radial or meshed), voltage ratings (medium or low), connection modes (grid-connected or islanded), distribution types (AC or DC), and integration of Distributed Generations (DGs). The performance of the proposed approach is verified by considering multiple scenarios of loss of information (LoI) along with extensive validation on the IEEE 37-bus distribution network within the MATLAB and coding environment. Results, comparisons, and discussions demonstrate the proposed method’s rapid detection, robustness, resilience, and reliability attributes.","PeriodicalId":13331,"journal":{"name":"IEEE Transactions on Smart Grid","volume":"16 2","pages":"1003-1018"},"PeriodicalIF":9.8000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Smart Grid","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10819461/","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

Abstract

Localizing faults (LoF) using online data from fault-indicating devices (FIDs) poses a significant challenge during the unavailability of information due to hidden relay failures or communication issues. Addressing this challenge, this paper introduces (i) Back-and-Forth Search algorithm and (ii) Clockwise-Counter-clockwise algorithm, which effectively leverages current direction data from network FIDs to locate faulted zones in distribution networks, even when facing multiple information losses. The proposed algorithms stand out due to their adaptable design, functioning seamlessly across various network configurations (radial or meshed), voltage ratings (medium or low), connection modes (grid-connected or islanded), distribution types (AC or DC), and integration of Distributed Generations (DGs). The performance of the proposed approach is verified by considering multiple scenarios of loss of information (LoI) along with extensive validation on the IEEE 37-bus distribution network within the MATLAB and coding environment. Results, comparisons, and discussions demonstrate the proposed method’s rapid detection, robustness, resilience, and reliability attributes.
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
考虑多重信息丢失的基于弹性逻辑的故障区段定位
在由于隐藏的中继故障或通信问题导致信息不可用的情况下,使用故障指示设备(fid)的在线数据进行故障定位(LoF)提出了重大挑战。针对这一挑战,本文引入了(i)前后搜索算法和(ii)顺时针-逆时针算法,该算法有效地利用来自网络FIDs的当前方向数据来定位配电网中的故障区域,即使面临多重信息丢失。所提出的算法因其适应性强的设计而脱颖而出,在各种网络配置(径向或网状),额定电压(中等或低),连接模式(并网或孤岛),配电类型(交流或直流)以及分布式代(dg)的集成中无缝运行。通过考虑多种信息丢失(LoI)场景以及在MATLAB和编码环境下对IEEE 37总线分配网络进行广泛验证,验证了所提出方法的性能。结果、比较和讨论表明,该方法具有快速检测、鲁棒性、弹性和可靠性等特点。
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
IEEE Transactions on Smart Grid
IEEE Transactions on Smart Grid ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
22.10
自引率
9.40%
发文量
526
审稿时长
6 months
期刊介绍: The IEEE Transactions on Smart Grid is a multidisciplinary journal that focuses on research and development in the field of smart grid technology. It covers various aspects of the smart grid, including energy networks, prosumers (consumers who also produce energy), electric transportation, distributed energy resources, and communications. The journal also addresses the integration of microgrids and active distribution networks with transmission systems. It publishes original research on smart grid theories and principles, including technologies and systems for demand response, Advance Metering Infrastructure, cyber-physical systems, multi-energy systems, transactive energy, data analytics, and electric vehicle integration. Additionally, the journal considers surveys of existing work on the smart grid that propose new perspectives on the history and future of intelligent and active grids.
期刊最新文献
Region-Driven Two-Layer Refined Scheduling for Multi-stack-integrated Alkaline Electrolyzer in Wind-Hydrogen System Bayesian-Optimized Deep Learning for Adaptive Real-Time FDIA Detection in Smart Grid Demand Response Systems Mixed Competitive—Cooperative Pricing for EV Charging Stations: A Multi-Agent Reinforcement Learning Approach with Heterogeneous Hierarchical Attention Distributed Adaptive Unified Fault-Tolerant Control Scheme for Multiple VSGs in Islanded Microgrids Hierarchical Distributed Control with Projected Gradient Descent for Real-Time Congestion Mitigation in MVDC Distribution Systems
×
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:604180095
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