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IEEE Transactions on Power Delivery Information for Authors IEEE电力传输信息汇刊
IF 3.8 2区 工程技术
IEEE Transactions on Power Delivery Pub Date : 2025-03-25 DOI: 10.1109/TPWRD.2025.3549069
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引用次数: 0
Introducing the IEEE PES Resource Center 介绍 IEEE PES 资源中心
IF 3.8 2区 工程技术
IEEE Transactions on Power Delivery Pub Date : 2025-03-25 DOI: 10.1109/TPWRD.2025.3550754
{"title":"Introducing the IEEE PES Resource Center","authors":"","doi":"10.1109/TPWRD.2025.3550754","DOIUrl":"https://doi.org/10.1109/TPWRD.2025.3550754","url":null,"abstract":"","PeriodicalId":13498,"journal":{"name":"IEEE Transactions on Power Delivery","volume":"40 2","pages":"1231-1231"},"PeriodicalIF":3.8,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10938744","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143698295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Share Your Preprint Research with the World! 与世界分享你的预印本研究！
IF 3.8 2区 工程技术
IEEE Transactions on Power Delivery Pub Date : 2025-03-25 DOI: 10.1109/TPWRD.2025.3550755
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引用次数: 0
Blank Page 空白页
IF 3.8 2区 工程技术
IEEE Transactions on Power Delivery Pub Date : 2025-03-25 DOI: 10.1109/TPWRD.2025.3549195
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引用次数: 0
A New and Practical Iron Loss Separation Model for Laminated Iron Cores in Electrical Equipment 一种实用的电工设备层压铁芯铁损分离新模型
IF 3.8 2区 工程技术
IEEE Transactions on Power Delivery Pub Date : 2025-03-25 DOI: 10.1109/TPWRD.2025.3554693
Jian Wang
{"title":"A New and Practical Iron Loss Separation Model for Laminated Iron Cores in Electrical Equipment","authors":"Jian Wang","doi":"10.1109/TPWRD.2025.3554693","DOIUrl":"10.1109/TPWRD.2025.3554693","url":null,"abstract":"To develop a simple and efficient technique for extracting the three loss components in laminated iron cores and then to enable the accurate prediction of iron loss, a new loss separation model is presented. The restrictive conditions, the measurement errors and the stability of solutions to systems of linear equations are all taken into consideration in this model. By examining the iron losses in three single-phase transformer models, where the iron cores were made of the cobalt-based amorphous ribbons, the grain oriented (GO) and non-oriented (NO) SiFe sheets, respectively, the proposed iron loss separation approach is verified by the comparison of the calculated data with those obtained by the experimental method under various excitation conditions. Two similar loss separation techniques, two-frequency and three-frequency methods, are investigated as well in this work and their limitations and drawbacks are pointed out and fully discussed. Furthermore, a preliminary study of the iron loss prediction using the loss coefficients acquired with the proposed model is conducted.","PeriodicalId":13498,"journal":{"name":"IEEE Transactions on Power Delivery","volume":"40 3","pages":"1554-1562"},"PeriodicalIF":3.8,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143702688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
IEEE Power & Energy Society Information IEEE 电力与能源学会信息
IF 3.8 2区 工程技术
IEEE Transactions on Power Delivery Pub Date : 2025-03-25 DOI: 10.1109/TPWRD.2025.3549211
{"title":"IEEE Power & Energy Society Information","authors":"","doi":"10.1109/TPWRD.2025.3549211","DOIUrl":"https://doi.org/10.1109/TPWRD.2025.3549211","url":null,"abstract":"","PeriodicalId":13498,"journal":{"name":"IEEE Transactions on Power Delivery","volume":"40 2","pages":"C2-C2"},"PeriodicalIF":3.8,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10938742","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143698351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Faulty Feeder Detection for Distribution Networks With IIDGs Based on Path Graph and Graph Fourier Transform 基于路径图和傅立叶变换的iidg配电网馈线故障检测
IF 3.8 2区 工程技术
IEEE Transactions on Power Delivery Pub Date : 2025-03-24 DOI: 10.1109/TPWRD.2025.3554362
Feipeng Lu;Sichen Lu;Yuyong Zhu;Shilin Gao;Bobin Hou;Shaoxiong Wang;Yuwen Qin;Chao Qian
{"title":"Faulty Feeder Detection for Distribution Networks With IIDGs Based on Path Graph and Graph Fourier Transform","authors":"Feipeng Lu;Sichen Lu;Yuyong Zhu;Shilin Gao;Bobin Hou;Shaoxiong Wang;Yuwen Qin;Chao Qian","doi":"10.1109/TPWRD.2025.3554362","DOIUrl":"10.1109/TPWRD.2025.3554362","url":null,"abstract":"A novel method for the detection of faulty feeders for distribution networks with inverter-interfaced distributed generators (IIDGs) during single-phase-ground(SPG) fault has been introduced. This method leverages the frequency domain features of the graph Fourier transform (GFT) of the associated path graph. Firstly, the impact of IIDGs on the transient zero-sequence current (TZSC) at the fault point is analyzed through the sequence network connection. Secondly, the TZSC in the selected frequency bands are studied by using the GFT analysis of the path graph, revealing distinct differences between faulty and healthy feeders. The GFT frequency domain characteristics for the path graph are extracted by employing the Hausdorff distance (HD) and Pearson correlation coefficient (PCC). The combination of the HD and PCC indexes, utilizing the Laplace distribution density curve, enables the identification of the faulty feeder through a comparative analysis of the areas formed by the resulting density curve. The simulation results demonstrate the ease of implementation, reliability in faulty feeder detection, and adaptability and robustness for different IIDG capacities, fault locations, transition resistances, and fault initial conditions.","PeriodicalId":13498,"journal":{"name":"IEEE Transactions on Power Delivery","volume":"40 3","pages":"1505-1516"},"PeriodicalIF":3.8,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143702697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Training-Free Learning Applied in GIS X-DR Image Analysis 免训练学习在GIS X-DR图像分析中的应用
IF 3.8 2区 工程技术
IEEE Transactions on Power Delivery Pub Date : 2025-03-24 DOI: 10.1109/TPWRD.2025.3553848
Lyulin Kuang;Yemin Shi;Haochong Wang;Yong Zhu;Wei Wang;Wenkai Chen;Lei Kuang
{"title":"Training-Free Learning Applied in GIS X-DR Image Analysis","authors":"Lyulin Kuang;Yemin Shi;Haochong Wang;Yong Zhu;Wei Wang;Wenkai Chen;Lei Kuang","doi":"10.1109/TPWRD.2025.3553848","DOIUrl":"10.1109/TPWRD.2025.3553848","url":null,"abstract":"Gas Insulated Switchgear (GIS) plays a crucial role in the electrical grid, particularly in transmission, distribution, and substation applications, and the safe operation of GIS is related to the secure functioning of the power grid. Recent years, X-ray digital radiography (X-DR) as a powerful non-destructive tool has been widely used for inspecting internal defects of GIS. However, the majority of collected GIS X-DR images still require specialized manual analysis, which is time-consuming and labour-intensive. In this paper, we present a novel application of advanced artificial intelligence (AI) models in GIS X-DR analysis. Specifically, we propose a pipeline of components segmentation based on a training-free method, utilizing the foundation models Segment Anything Model (SAM) and SegGPT. Meanwhile we annotate and build a small dataset with nearly 100 GIS X-DR images and three categories covering small-size, larger-size, and grain-type components. Then we carefully conduct several experiments with the dataset. The results demonstrate that the application of this training-free pipeline achieves a high precision of component segmentation in GIS X-DR images. Our method could be directly used for GIS X-DR analysis, like small components counting and image quality test. Also, this pipeline could be used to label the GIS X-DR or other images for next step AI methods application. So, we could develop more and better AI models in GIS XD-R analysis. This advancement in automated GIS X-DR analysis not only contributes to the reliability and efficiency of power distribution systems but also opens avenues for automated inspection and maintenance processes in the energy sector.","PeriodicalId":13498,"journal":{"name":"IEEE Transactions on Power Delivery","volume":"40 3","pages":"1411-1420"},"PeriodicalIF":3.8,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143702696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Blank Page 空白页
IF 3.8 2区 工程技术
IEEE Transactions on Power Delivery Pub Date : 2025-03-22 DOI: 10.1109/TPWRD.2025.3564860
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引用次数: 0
Share Your Preprint Research with the World! 与世界分享你的预印本研究！
IF 3.8 2区 工程技术
IEEE Transactions on Power Delivery Pub Date : 2025-03-22 DOI: 10.1109/TPWRD.2025.3567786
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引用次数: 0
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