{"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":8.6000,"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.
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.