{"title":"Incipient Fault Detection of Medium-Voltage Distribution Cable Systems Using Time-Frequency Analysis of Grounding Wire Currents","authors":"Peng Zhang;Meng Hou;Rui Liang;Zehua Tang;Jian Li;Mohan Jin;Zhongyu Sun;Nan Peng","doi":"10.1109/TSG.2024.3444280","DOIUrl":null,"url":null,"abstract":"Incipient cable faults pose a significant risk to the normal operation of power grids. Addressing the issue of detecting incipient faults in underground cables is particularly difficult due to their hidden external characteristics that are not easily observable. Furthermore, these faults occur randomly, with short durations, which further complicates their detection. This paper firstly establishes a cable field-circuit equivalent model that considers multi-conductor electromagnetic coupling for incipient faulty scenarios. The mathematical relationship between the grounding wire currents (GWCs) and fault conditions is then theoretically deduced specifically. A novel method is developed to detect incipient faults in three-core cables by analyzing the time-frequency characteristics of GWC frequency components considering the time-varying fault resistance. The simulation results demonstrate the effectiveness and robustness of the proposed method, showing little impact from fault initial conditions, disturbances, and distributed generations (DGs). Finally, the method is verified in an actual 10 kV distribution network.","PeriodicalId":13331,"journal":{"name":"IEEE Transactions on Smart Grid","volume":"16 1","pages":"74-86"},"PeriodicalIF":9.8000,"publicationDate":"2024-08-14","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/10637287/","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
Incipient cable faults pose a significant risk to the normal operation of power grids. Addressing the issue of detecting incipient faults in underground cables is particularly difficult due to their hidden external characteristics that are not easily observable. Furthermore, these faults occur randomly, with short durations, which further complicates their detection. This paper firstly establishes a cable field-circuit equivalent model that considers multi-conductor electromagnetic coupling for incipient faulty scenarios. The mathematical relationship between the grounding wire currents (GWCs) and fault conditions is then theoretically deduced specifically. A novel method is developed to detect incipient faults in three-core cables by analyzing the time-frequency characteristics of GWC frequency components considering the time-varying fault resistance. The simulation results demonstrate the effectiveness and robustness of the proposed method, showing little impact from fault initial conditions, disturbances, and distributed generations (DGs). Finally, the method is verified in an actual 10 kV distribution network.
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.