Pub Date : 2019-11-01DOI: 10.1109/CATCON47128.2019.CN0092
P. R. Sai Siddu, S. Ravi Chandran, S. Usa
Due to the upgradation of power systems, the power rating of power transformers increases which requires more efficiency and good winding mechanical strength. This has been made possible with the use of Continuously Transposed Conductor (CTC) windings in power transformer design. CTC winding reduces eddy losses and provides uniform temperature distribution throughout the winding and high mechanical withstand capability in short circuit conditions. In this work, CTC and the equivalent DISC windings of equally rated power transformers of the same manufacturer are considered for the analysis. The eddy current loss and winding deformation under short circuit force of both the windings are computed using finite element based field solvers and compared.
{"title":"Eddy Current and Magneto-Structural Analysis on Transformer Winding with Continuously Transposed Conductors","authors":"P. R. Sai Siddu, S. Ravi Chandran, S. Usa","doi":"10.1109/CATCON47128.2019.CN0092","DOIUrl":"https://doi.org/10.1109/CATCON47128.2019.CN0092","url":null,"abstract":"Due to the upgradation of power systems, the power rating of power transformers increases which requires more efficiency and good winding mechanical strength. This has been made possible with the use of Continuously Transposed Conductor (CTC) windings in power transformer design. CTC winding reduces eddy losses and provides uniform temperature distribution throughout the winding and high mechanical withstand capability in short circuit conditions. In this work, CTC and the equivalent DISC windings of equally rated power transformers of the same manufacturer are considered for the analysis. The eddy current loss and winding deformation under short circuit force of both the windings are computed using finite element based field solvers and compared.","PeriodicalId":183797,"journal":{"name":"2019 IEEE 4th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114360741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-11-01DOI: 10.1109/CATCON47128.2019.CN0036
Asha Sharma, S. Basu, N. Gupta
The improvement of dielectric properties of a polymer through addition of nanofillers is considered to be primarily due to the interface formed around the nanoparticle embedded in polymeric matrix. Researchers have attempted indirect methods to detect the interfacial region and suggested that an interfacial region of finite thickness and permittivity different from filler and bulk matrix exists. An electrical double layer of charge around each nanoparticle is also hypothesized. In the current computational study, a Finite Element Method (FEM) based model is used to simulate the experimental set-up for Electrostatic Force Microscopy (EFM) and to generate computationally the EFM phase images. The efficacy of this model in detecting charge around a nanoparticle is studied.
{"title":"Detection of Charge around a Nanoparticle in a Nanodielectric","authors":"Asha Sharma, S. Basu, N. Gupta","doi":"10.1109/CATCON47128.2019.CN0036","DOIUrl":"https://doi.org/10.1109/CATCON47128.2019.CN0036","url":null,"abstract":"The improvement of dielectric properties of a polymer through addition of nanofillers is considered to be primarily due to the interface formed around the nanoparticle embedded in polymeric matrix. Researchers have attempted indirect methods to detect the interfacial region and suggested that an interfacial region of finite thickness and permittivity different from filler and bulk matrix exists. An electrical double layer of charge around each nanoparticle is also hypothesized. In the current computational study, a Finite Element Method (FEM) based model is used to simulate the experimental set-up for Electrostatic Force Microscopy (EFM) and to generate computationally the EFM phase images. The efficacy of this model in detecting charge around a nanoparticle is studied.","PeriodicalId":183797,"journal":{"name":"2019 IEEE 4th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125769468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-11-01DOI: 10.1109/CATCON47128.2019.CN0093
A. Ashokbabu, P. Thomas
Development of materials with high dielectric permittivity is very much important for the miniaturization of electronic devices. From that perspective, polytetrafluoroethylene (PTFE) composites with up to 15 weight% Sr2TiMnO6 (STMO) ceramics were prepared using hot isostatic pressing method and characterized for their dielectric and thermal behavior. X-ray diffraction patterns showed the appearance of peaks corresponding to both PTFE and STMO in their composites, however, the intensities of the peaks were dependent on the loading of STMO. Thermal stability of the composites was superior to that of pure PTFE. Enhancement in the dielectric properties of PTFE was obtained from the addition of STMO. These composites with high permittivity can be explored further for their possible use in capacitor applications.
{"title":"Dielectric and Thermal Behavior of PTFE/Sr2TiMnO6 (STMO) Composites","authors":"A. Ashokbabu, P. Thomas","doi":"10.1109/CATCON47128.2019.CN0093","DOIUrl":"https://doi.org/10.1109/CATCON47128.2019.CN0093","url":null,"abstract":"Development of materials with high dielectric permittivity is very much important for the miniaturization of electronic devices. From that perspective, polytetrafluoroethylene (PTFE) composites with up to 15 weight% Sr2TiMnO6 (STMO) ceramics were prepared using hot isostatic pressing method and characterized for their dielectric and thermal behavior. X-ray diffraction patterns showed the appearance of peaks corresponding to both PTFE and STMO in their composites, however, the intensities of the peaks were dependent on the loading of STMO. Thermal stability of the composites was superior to that of pure PTFE. Enhancement in the dielectric properties of PTFE was obtained from the addition of STMO. These composites with high permittivity can be explored further for their possible use in capacitor applications.","PeriodicalId":183797,"journal":{"name":"2019 IEEE 4th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127622617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-11-01DOI: 10.1109/CATCON47128.2019.CN0050
E. Skariah, S. T K
Strict emission regulations are being implemented worldwide to tackle the issues of air pollution these years. It is important that suitable technological solutions have to be introduced in addition to the conventional pollution control methods. Non thermal plasma reactors were proved to be effective in tackling several pollutants, if properly tuned. One dimensional numerical model and mathematical model of a dielectric barrier discharge reactor is simulated in this work. The solutions of these models are coupled to obtain the best operating conditions of the reactor under specific emission conditions of oxides of nitrogen. The importance of power deposited and decomposition rate constant is analyzed. It is inferred that careful tuning of operating parameters can improve the efficiency of DBD reactor.
{"title":"Prediction of Feasible Operating Point for a DBD Reactor Based on Decomposition Rate Constant","authors":"E. Skariah, S. T K","doi":"10.1109/CATCON47128.2019.CN0050","DOIUrl":"https://doi.org/10.1109/CATCON47128.2019.CN0050","url":null,"abstract":"Strict emission regulations are being implemented worldwide to tackle the issues of air pollution these years. It is important that suitable technological solutions have to be introduced in addition to the conventional pollution control methods. Non thermal plasma reactors were proved to be effective in tackling several pollutants, if properly tuned. One dimensional numerical model and mathematical model of a dielectric barrier discharge reactor is simulated in this work. The solutions of these models are coupled to obtain the best operating conditions of the reactor under specific emission conditions of oxides of nitrogen. The importance of power deposited and decomposition rate constant is analyzed. It is inferred that careful tuning of operating parameters can improve the efficiency of DBD reactor.","PeriodicalId":183797,"journal":{"name":"2019 IEEE 4th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131305190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-11-01DOI: 10.1109/CATCON47128.2019.CN0072
Lourembam Ranjita Devi, Anu Kumar Das, S. Chatterjee
The presence of void in a cable causes intensification of the electric field stress due to differences in the dielectric constant between air and surrounding cable insulation. The occurrence of the cavity not only affects the electric field inside the cavity but also distort the surrounding field. Evaluation of maximum void stress is essential in order to determine the severity of partial discharges and the probability of breakdown in cable insulation. The cross-section of XLPE cable has been modeled in COMSOL Multiphysics to simulate the effect of void. It is observed that a void nearer to the conductor results in the highest electric stress whose magnitude decreases with an increase in the thickness. Further, the shape of the void influences the maximum stress- for example, spherical void is having higher maximum electric stress than the one produced by elliptical void.
{"title":"Parameter Analysis of Power Cable due to Presence of Void","authors":"Lourembam Ranjita Devi, Anu Kumar Das, S. Chatterjee","doi":"10.1109/CATCON47128.2019.CN0072","DOIUrl":"https://doi.org/10.1109/CATCON47128.2019.CN0072","url":null,"abstract":"The presence of void in a cable causes intensification of the electric field stress due to differences in the dielectric constant between air and surrounding cable insulation. The occurrence of the cavity not only affects the electric field inside the cavity but also distort the surrounding field. Evaluation of maximum void stress is essential in order to determine the severity of partial discharges and the probability of breakdown in cable insulation. The cross-section of XLPE cable has been modeled in COMSOL Multiphysics to simulate the effect of void. It is observed that a void nearer to the conductor results in the highest electric stress whose magnitude decreases with an increase in the thickness. Further, the shape of the void influences the maximum stress- for example, spherical void is having higher maximum electric stress than the one produced by elliptical void.","PeriodicalId":183797,"journal":{"name":"2019 IEEE 4th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127936443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-11-01DOI: 10.1109/CATCON47128.2019.CN0055
Anurag Dutta, S. Karmakar, Hussain Kalathiripi
Dissolved gas analysis (DGA) is the most widely used technique for predicting incipient faults in transformer oil. In order to perform DGA, the concentration of dissolved gases such as Methane (CH4), Ethylene (C2H4) and Acetylene (C2H2) are required. The concentration of these gases can be determined by means of Gas Chromatography (GC) which is the most globally used technique. However, this technique requires an experienced operator, has high maintenance and running costs, and time consuming as well. In view of these issues, a new method of fault prediction is proposed in this paper that makes use of the absorption phenomena of transformer oil. Fourier Transform Infrared (FTIR) Spectroscopy was performed on oil samples that have been degraded due to the accumulative and repetitive impact of high voltage impulses. The FTIR spectra gave the peak absorbance values of the dissolved gases viz; CH4, C2H4 and C2H2. Finally, the Duval triangle method was implemented for fault prediction. Also, other properties of oil such as breakdown voltage and dielectric constant have also been evaluated.
{"title":"A Novel Method of Fault Prediction in Transformer Oil using Infrared Spectroscopy","authors":"Anurag Dutta, S. Karmakar, Hussain Kalathiripi","doi":"10.1109/CATCON47128.2019.CN0055","DOIUrl":"https://doi.org/10.1109/CATCON47128.2019.CN0055","url":null,"abstract":"Dissolved gas analysis (DGA) is the most widely used technique for predicting incipient faults in transformer oil. In order to perform DGA, the concentration of dissolved gases such as Methane (CH4), Ethylene (C2H4) and Acetylene (C2H2) are required. The concentration of these gases can be determined by means of Gas Chromatography (GC) which is the most globally used technique. However, this technique requires an experienced operator, has high maintenance and running costs, and time consuming as well. In view of these issues, a new method of fault prediction is proposed in this paper that makes use of the absorption phenomena of transformer oil. Fourier Transform Infrared (FTIR) Spectroscopy was performed on oil samples that have been degraded due to the accumulative and repetitive impact of high voltage impulses. The FTIR spectra gave the peak absorbance values of the dissolved gases viz; CH4, C2H4 and C2H2. Finally, the Duval triangle method was implemented for fault prediction. Also, other properties of oil such as breakdown voltage and dielectric constant have also been evaluated.","PeriodicalId":183797,"journal":{"name":"2019 IEEE 4th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128089088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-11-01DOI: 10.1109/CATCON47128.2019.CN0046
Vaishnavi Cheemala, Avinash Nelson Asokan, P. P.
Power transformers are important equipment in the electric grid. The availability loss of the transformer is a high impact event for various stakeholders in the power system network. Hence transformer health monitoring has garnered much significance. Dissolved Gas Analysis is by far the most prevalent condition monitoring technique among utilities. However, identifying the condition of the transformer from the DGA observations is a difficult task. Machine learning algorithms based on the principles of probability and decision making theories are now gaining momentum in this area. In this study, the performance of SVM, k-NN and ensemble method algorithms are compared in interpreting DGA data. Data transformation is performed on raw data to improve its quality. The DGA test datasets are generally skewed which hamper the performance of the classifiers. Data random sampling is employed to balance the data. The effects of the data transformations and data imbalance have been studied. The results obtained show that the ensemble method algorithm performed the best in most cases. Also, the performance of the classifier algorithms has been found to increase through data pre-processing and data balancing.
{"title":"Transformer Incipient Fault Diagnosis using Machine Learning Classifiers","authors":"Vaishnavi Cheemala, Avinash Nelson Asokan, P. P.","doi":"10.1109/CATCON47128.2019.CN0046","DOIUrl":"https://doi.org/10.1109/CATCON47128.2019.CN0046","url":null,"abstract":"Power transformers are important equipment in the electric grid. The availability loss of the transformer is a high impact event for various stakeholders in the power system network. Hence transformer health monitoring has garnered much significance. Dissolved Gas Analysis is by far the most prevalent condition monitoring technique among utilities. However, identifying the condition of the transformer from the DGA observations is a difficult task. Machine learning algorithms based on the principles of probability and decision making theories are now gaining momentum in this area. In this study, the performance of SVM, k-NN and ensemble method algorithms are compared in interpreting DGA data. Data transformation is performed on raw data to improve its quality. The DGA test datasets are generally skewed which hamper the performance of the classifiers. Data random sampling is employed to balance the data. The effects of the data transformations and data imbalance have been studied. The results obtained show that the ensemble method algorithm performed the best in most cases. Also, the performance of the classifier algorithms has been found to increase through data pre-processing and data balancing.","PeriodicalId":183797,"journal":{"name":"2019 IEEE 4th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124973314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-11-01DOI: 10.1109/CATCON47128.2019.CN0071
P.G.S. Kumar, K. M. Reddy, K. K. Kumar
Stator end winding of turbine generator experiences high vibrations at resonance frequency in operation which result into basket loosening, insulation failure and ultimately end with no power from machine. Modal analysis is a powerful tool of vibration test to visualize vibration characteristics viz. natural frequencies, amplitudes and mode shapes of dynamic structures. This article elucidates the vibration behavior of stator end winding structure in a 150 MVA, 16 kV, 50 Hz turbine generator of decennial period. Natural frequency test (NFT) was conducted on it in off-line condition. An impact hammer and an accelerometer were jointly used for excitation force and respond vibration respectively. Modal parameters were extracted from the frequency response function through FFT analyzer. Natural frequencies and vibration magnitudes had been obtained. Overhang was reinforced based on the test results. Efficacy of the rectification work was endorsed by post modal analysis. Vibration amplitudes had been brought down to low values in the resonance band width of 95 to 110 Hz.
{"title":"Reinforcement of Generator Stator End Winding Structure by Modal Analysis Approach","authors":"P.G.S. Kumar, K. M. Reddy, K. K. Kumar","doi":"10.1109/CATCON47128.2019.CN0071","DOIUrl":"https://doi.org/10.1109/CATCON47128.2019.CN0071","url":null,"abstract":"Stator end winding of turbine generator experiences high vibrations at resonance frequency in operation which result into basket loosening, insulation failure and ultimately end with no power from machine. Modal analysis is a powerful tool of vibration test to visualize vibration characteristics viz. natural frequencies, amplitudes and mode shapes of dynamic structures. This article elucidates the vibration behavior of stator end winding structure in a 150 MVA, 16 kV, 50 Hz turbine generator of decennial period. Natural frequency test (NFT) was conducted on it in off-line condition. An impact hammer and an accelerometer were jointly used for excitation force and respond vibration respectively. Modal parameters were extracted from the frequency response function through FFT analyzer. Natural frequencies and vibration magnitudes had been obtained. Overhang was reinforced based on the test results. Efficacy of the rectification work was endorsed by post modal analysis. Vibration amplitudes had been brought down to low values in the resonance band width of 95 to 110 Hz.","PeriodicalId":183797,"journal":{"name":"2019 IEEE 4th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131581378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-11-01DOI: 10.1109/CATCON47128.2019.CN0080
Noofa Sayed, Joyce Jacob, Sindhu T.K, P. P.
Environment friendly and non-hazardous behavior of natural ester has gained significant attention as a potential substitute for conventionally used mineral oil over the past decade. Such a substitute for mineral oil should be compatible with the paper insulation since the quality of paper is the life determining aspect of the transformer. Here an attempt is made to check the compatibility of paper insulation with soyabean based natural ester by comparing the dielectric properties and thermal stability of natural ester impregnated paper with mineral oil impregnated paper. Impregnated Paper was subjected to accelerated thermal aging at 130 degree Celsius for 7 days and the degree of polymerization was investigated. Experimental results show that the degradation is lesser for the natural ester impregnated paper, which further guarantees the compatibility of paper insulation with natural ester.
{"title":"Compatibility Analysis of Paper Insulation with Natural Ester","authors":"Noofa Sayed, Joyce Jacob, Sindhu T.K, P. P.","doi":"10.1109/CATCON47128.2019.CN0080","DOIUrl":"https://doi.org/10.1109/CATCON47128.2019.CN0080","url":null,"abstract":"Environment friendly and non-hazardous behavior of natural ester has gained significant attention as a potential substitute for conventionally used mineral oil over the past decade. Such a substitute for mineral oil should be compatible with the paper insulation since the quality of paper is the life determining aspect of the transformer. Here an attempt is made to check the compatibility of paper insulation with soyabean based natural ester by comparing the dielectric properties and thermal stability of natural ester impregnated paper with mineral oil impregnated paper. Impregnated Paper was subjected to accelerated thermal aging at 130 degree Celsius for 7 days and the degree of polymerization was investigated. Experimental results show that the degradation is lesser for the natural ester impregnated paper, which further guarantees the compatibility of paper insulation with natural ester.","PeriodicalId":183797,"journal":{"name":"2019 IEEE 4th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134486306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-11-01DOI: 10.1109/CATCON47128.2019.CN00020
G. K. Kumar, R. Kumar
Electrical steel is significant material and used as core in the manufacture of electrical devices for power and distribution transformers. The magnetic properties of these steels need to be precisely estimated in order to design an accurate electrical device. Deterioration of the Cold Rolled Grain Oriented (CRGO) electrical steels can severely influence the electrical and magnetic properties and thereby the performance of the devices in which they are integrated. A study was conducted on 20 nos of different thickness grades of CRGO electrical steel of primary, non-prime grade CRGO steel and used core material (removed) from transformer. The thickness grades used for the experimental work are 5 nos. of 0.23 grade, 9 nos. of 0.27 grade, 4 nos. of 0.30 grade and 2 nos. of 0.35 grades. The magnetic properties are evaluated such as core loss, apparent power and power factor was calculated. The power factor values for the prime grades are from 0.75 to 0.4, but where as non-prime and used core steel values are below 0.3.
{"title":"Study of different grades of CRGO core material for evaluation of power factor","authors":"G. K. Kumar, R. Kumar","doi":"10.1109/CATCON47128.2019.CN00020","DOIUrl":"https://doi.org/10.1109/CATCON47128.2019.CN00020","url":null,"abstract":"Electrical steel is significant material and used as core in the manufacture of electrical devices for power and distribution transformers. The magnetic properties of these steels need to be precisely estimated in order to design an accurate electrical device. Deterioration of the Cold Rolled Grain Oriented (CRGO) electrical steels can severely influence the electrical and magnetic properties and thereby the performance of the devices in which they are integrated. A study was conducted on 20 nos of different thickness grades of CRGO electrical steel of primary, non-prime grade CRGO steel and used core material (removed) from transformer. The thickness grades used for the experimental work are 5 nos. of 0.23 grade, 9 nos. of 0.27 grade, 4 nos. of 0.30 grade and 2 nos. of 0.35 grades. The magnetic properties are evaluated such as core loss, apparent power and power factor was calculated. The power factor values for the prime grades are from 0.75 to 0.4, but where as non-prime and used core steel values are below 0.3.","PeriodicalId":183797,"journal":{"name":"2019 IEEE 4th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134576153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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