Pub Date : 2024-08-22DOI: 10.1109/tdei.2024.3447619
Tianyin Zhang, Xiangrong Chen, Taqi ur Rahman, Jiahao Liu, Jiale Song, Ashish Paramane, Muhammad Awais
{"title":"Electrical and Physico-chemical Properties of XLPE Under Different Vulcanization Pressures for 500 kV EHVDC Cable Factory Joint","authors":"Tianyin Zhang, Xiangrong Chen, Taqi ur Rahman, Jiahao Liu, Jiale Song, Ashish Paramane, Muhammad Awais","doi":"10.1109/tdei.2024.3447619","DOIUrl":"https://doi.org/10.1109/tdei.2024.3447619","url":null,"abstract":"","PeriodicalId":13247,"journal":{"name":"IEEE Transactions on Dielectrics and Electrical Insulation","volume":"23 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142212897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-22DOI: 10.1109/TDEI.2024.3448396
Jiangbo Qian;Zhilin Zhang;Cheng Peng;Liwei Shao;Gengda Li
The dielectric characteristics of aqueous insulating oil has an important impact on the safe operation of transformers. In this article, the integration method is used to modify the Maxwell-Wanger nonuniform dielectric model to make it suitable for aqueous insulating oil, and the reliability of the new model is verified. The experimental results show that when the water content is 20 ppm, the maximum error of the real part of the complex dielectric constant of the insulating oil does not exceed 0.0541%, and the maximum error of the imaginary part does not exceed 1.076%. Finally, based on this model, the dielectric spectrum of the aqueous insulating oil is obtained, the variation law of the real part and the imaginary part of the aqueous insulating oil under different conditions is revealed, and the internal reasons for the dielectric properties of the aqueous insulating oil with temperature, frequency, and moisture content are analyzed, which provides an important reference data for evaluation and online monitoring of insulation performance of the aqueous insulating oil.
{"title":"Dielectric Spectroscopy of Aqueous Insulating Oil Based on Maxwell-Wagner Modified Model","authors":"Jiangbo Qian;Zhilin Zhang;Cheng Peng;Liwei Shao;Gengda Li","doi":"10.1109/TDEI.2024.3448396","DOIUrl":"10.1109/TDEI.2024.3448396","url":null,"abstract":"The dielectric characteristics of aqueous insulating oil has an important impact on the safe operation of transformers. In this article, the integration method is used to modify the Maxwell-Wanger nonuniform dielectric model to make it suitable for aqueous insulating oil, and the reliability of the new model is verified. The experimental results show that when the water content is 20 ppm, the maximum error of the real part of the complex dielectric constant of the insulating oil does not exceed 0.0541%, and the maximum error of the imaginary part does not exceed 1.076%. Finally, based on this model, the dielectric spectrum of the aqueous insulating oil is obtained, the variation law of the real part and the imaginary part of the aqueous insulating oil under different conditions is revealed, and the internal reasons for the dielectric properties of the aqueous insulating oil with temperature, frequency, and moisture content are analyzed, which provides an important reference data for evaluation and online monitoring of insulation performance of the aqueous insulating oil.","PeriodicalId":13247,"journal":{"name":"IEEE Transactions on Dielectrics and Electrical Insulation","volume":"31 5","pages":"2564-2571"},"PeriodicalIF":2.9,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142212887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Partial discharges (PDs) in transformer windings can lead to failures, causing power grid instability and outages. Therefore, early detection and accurate localization of PD incidents are crucial. This article introduces an electrical approach for PD localization in transformer windings. The approach involves the noninvasive injection of pulses (resembling PD) into the winding and recording the propagated signals at the winding terminals (i.e., line bushing and neutral ends). Noninvasive PD injection is performed using a capacitive coupling due to the absence of electrical access to transformer winding conductors. Next, features are extracted from the recorded signals to correlate them with the location of the injection point. This study investigates the effect of the PD pulse injection point on its response waveform recorded at the terminals to identify features corresponding to the PD source using a single measurement. Certain features of captured signals are highly correlated with PD location. The proposed approach establishes an accurate disk-to-disk localization model, particularly for large transformers. It employs a supervised classifier for PD localization. The performance of the proposed approach is verified using experimental measurements.
{"title":"Machine-Learning Supported Localization of Partial Discharges in Real-Size Transformer Winding Using Noninvasive Capacitively- Coupled Pulse Injection","authors":"Hamed Moradi Tavasani;Waldemar Ziomek;Behzad Kordi","doi":"10.1109/TDEI.2024.3448401","DOIUrl":"10.1109/TDEI.2024.3448401","url":null,"abstract":"Partial discharges (PDs) in transformer windings can lead to failures, causing power grid instability and outages. Therefore, early detection and accurate localization of PD incidents are crucial. This article introduces an electrical approach for PD localization in transformer windings. The approach involves the noninvasive injection of pulses (resembling PD) into the winding and recording the propagated signals at the winding terminals (i.e., line bushing and neutral ends). Noninvasive PD injection is performed using a capacitive coupling due to the absence of electrical access to transformer winding conductors. Next, features are extracted from the recorded signals to correlate them with the location of the injection point. This study investigates the effect of the PD pulse injection point on its response waveform recorded at the terminals to identify features corresponding to the PD source using a single measurement. Certain features of captured signals are highly correlated with PD location. The proposed approach establishes an accurate disk-to-disk localization model, particularly for large transformers. It employs a supervised classifier for PD localization. The performance of the proposed approach is verified using experimental measurements.","PeriodicalId":13247,"journal":{"name":"IEEE Transactions on Dielectrics and Electrical Insulation","volume":"31 6","pages":"2984-2992"},"PeriodicalIF":2.9,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142212889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-22DOI: 10.1109/TDEI.2024.3447616
Nan Zhou;Lingen Luo;Gehao Sheng;Xiuchen Jiang
The accurate and effective identification of power transformer insulation fault is critical in implementing corrective actions and preventing problem reoccurrence. While the dissolved gas analysis (DGA) forms the basis for fault identification, certain challenges still remain, including the absence of clear theoretical principles, conflict results, and the oversight of multiple faults. This article addresses these issues by employing molecular dynamics (MD) simulations to investigate the decomposition of mineral oil under various insulation fault conditions. Identification is eventually achieved by a clustering-based method with MD results as initial centers. To achieve this, the molecular model of transformer mineral oil is first constructed, and its decomposition mechanism and results are studied under different insulation fault conditions. Afterward, based on the MD results, certain ratios between the decomposed gases are selected and calculated, which are utilized as the initial centers of the clustering. Finally, the fault identification can be achieved by substituting the DGA data into the established clustering classifier. The proposed method is tested with both the IEC TC 10 database and the local DGA dataset. The results show a respective 83.4% and 89% success rate in identifying single or multiple faults, verifying the effectiveness of the proposed method.
{"title":"Power Transformers Insulation Faults Identification With DGA: A Molecular Dynamics-Assisted Method","authors":"Nan Zhou;Lingen Luo;Gehao Sheng;Xiuchen Jiang","doi":"10.1109/TDEI.2024.3447616","DOIUrl":"10.1109/TDEI.2024.3447616","url":null,"abstract":"The accurate and effective identification of power transformer insulation fault is critical in implementing corrective actions and preventing problem reoccurrence. While the dissolved gas analysis (DGA) forms the basis for fault identification, certain challenges still remain, including the absence of clear theoretical principles, conflict results, and the oversight of multiple faults. This article addresses these issues by employing molecular dynamics (MD) simulations to investigate the decomposition of mineral oil under various insulation fault conditions. Identification is eventually achieved by a clustering-based method with MD results as initial centers. To achieve this, the molecular model of transformer mineral oil is first constructed, and its decomposition mechanism and results are studied under different insulation fault conditions. Afterward, based on the MD results, certain ratios between the decomposed gases are selected and calculated, which are utilized as the initial centers of the clustering. Finally, the fault identification can be achieved by substituting the DGA data into the established clustering classifier. The proposed method is tested with both the IEC TC 10 database and the local DGA dataset. The results show a respective 83.4% and 89% success rate in identifying single or multiple faults, verifying the effectiveness of the proposed method.","PeriodicalId":13247,"journal":{"name":"IEEE Transactions on Dielectrics and Electrical Insulation","volume":"31 6","pages":"3479-3488"},"PeriodicalIF":2.9,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142212890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-21DOI: 10.1109/tdei.2024.3445333
Dan Cao, Zepeng Lv, Yunpeng Zhan, Shuai Hou, Yanqun Liao, Anying Cao, Kai Wu, Yonghong Cheng
{"title":"Space Charge and Conduction Characters of PP/POE Composites and Their Influence on the Aging Lifetime under DC Voltage2","authors":"Dan Cao, Zepeng Lv, Yunpeng Zhan, Shuai Hou, Yanqun Liao, Anying Cao, Kai Wu, Yonghong Cheng","doi":"10.1109/tdei.2024.3445333","DOIUrl":"https://doi.org/10.1109/tdei.2024.3445333","url":null,"abstract":"","PeriodicalId":13247,"journal":{"name":"IEEE Transactions on Dielectrics and Electrical Insulation","volume":"5 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142212892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Electric fields in cable insulations can be assessed via space charge measurements, but the field distributions estimated are sometimes unstable. In this work, the pulsed electroacoustic (PEA) method was applied to a 275-kV-class extruded cable. The 216 waveforms were obtained under an applied dc voltage of 320 kV without any space charge accumulations, and their field distributions were compared with the Laplace field. Their uncertainty for estimating electric field distribution was ±5.8% with the 95% confidence interval. Similar statistical analyses were conducted again for waveforms measured under various dc voltages. The uncertainty of the field distribution improved, as the applied voltage and SNR increased. If the testing voltage is sufficiently high or if a voltage is applied for a sufficiently long period of time to cause space charge accumulation, a safe side uncertainty is adopted. That is, by using the reference data, the widest error range and safer uncertainty evaluation can be achieved.
{"title":"Uncertainty of Electric Field Estimation in a Full-Sized Cable Based on Space Charge Measurement","authors":"Norikazu Fuse;Shosuke Morita;Satoru Miyazaki;Toshihiro Takahashi;Naohiro Hozumi","doi":"10.1109/TDEI.2024.3446742","DOIUrl":"https://doi.org/10.1109/TDEI.2024.3446742","url":null,"abstract":"Electric fields in cable insulations can be assessed via space charge measurements, but the field distributions estimated are sometimes unstable. In this work, the pulsed electroacoustic (PEA) method was applied to a 275-kV-class extruded cable. The 216 waveforms were obtained under an applied dc voltage of 320 kV without any space charge accumulations, and their field distributions were compared with the Laplace field. Their uncertainty for estimating electric field distribution was ±5.8% with the 95% confidence interval. Similar statistical analyses were conducted again for waveforms measured under various dc voltages. The uncertainty of the field distribution improved, as the applied voltage and SNR increased. If the testing voltage is sufficiently high or if a voltage is applied for a sufficiently long period of time to cause space charge accumulation, a safe side uncertainty is adopted. That is, by using the reference data, the widest error range and safer uncertainty evaluation can be achieved.","PeriodicalId":13247,"journal":{"name":"IEEE Transactions on Dielectrics and Electrical Insulation","volume":"31 5","pages":"2661-2667"},"PeriodicalIF":2.9,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142408763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-20DOI: 10.1109/tdei.2024.3446745
Yunfei Jia, Xun Luo, Shengchang Ji, Wanjing Gao, Shuangrui Jia, Simeng Li, Fan Zhang
{"title":"The Influence of Electrode Structure on the Discharge Characteristics of Power-Frequency Arc in Insulating Oil","authors":"Yunfei Jia, Xun Luo, Shengchang Ji, Wanjing Gao, Shuangrui Jia, Simeng Li, Fan Zhang","doi":"10.1109/tdei.2024.3446745","DOIUrl":"https://doi.org/10.1109/tdei.2024.3446745","url":null,"abstract":"","PeriodicalId":13247,"journal":{"name":"IEEE Transactions on Dielectrics and Electrical Insulation","volume":"3 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142226984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-19DOI: 10.1109/tdei.2024.3445872
Mihir Bhatt, Praghnesh Bhatt
{"title":"Investigating the Magnetic Field Dominated Streamer Dynamics in Transformer Oil","authors":"Mihir Bhatt, Praghnesh Bhatt","doi":"10.1109/tdei.2024.3445872","DOIUrl":"https://doi.org/10.1109/tdei.2024.3445872","url":null,"abstract":"","PeriodicalId":13247,"journal":{"name":"IEEE Transactions on Dielectrics and Electrical Insulation","volume":"93 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142212894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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