{"title":"Condition Assessment of Aged Transformer Oil Using Photoluminescence-Based Features","authors":"Abdelrahman M. Alshehawy, D. Mansour, M. Ghali","doi":"10.1109/catcon52335.2021.9670510","DOIUrl":"https://doi.org/10.1109/catcon52335.2021.9670510","url":null,"abstract":"Optical spectroscopy techniques were presented recently as a condition assessment tool for power transformer insulation. They are simple, non-destructive and inexpensive. Researchers applied different spectroscopy techniques for condition assessment of insulation paper, mineral and ester oils. Among these techniques, Ultraviolet-Visible (UV-Vis) technique showed promising results in correlation with some dielectric, physical, chemical properties and aging by-products. However, this technique is not very sensitive especially with complex mixtures as insulating oils. Thus, photoluminescence spectroscopy (PL) was introduced for condition assessment of the insulating oils. PL spectroscopy is more sensitive, simple and can be implemented online using compact and inexpensive sensors. In this paper, several insulating oil samples were aged with different durations and were tested using PL spectrometer to obtain their PL spectra. The impact of aging on the PL spectra is investigated. Moreover, parameters deduced from the PL spectra were correlated to the dielectric dissipation factor and aging by-products deduced from UV-Vis spectroscopy test. Finally, a new criterion based on PL spectroscopy is introduced for condition assessment of insulating oil. The new criterion specifies the acceptable limits for the parameters deduced from the PL spectra.","PeriodicalId":162130,"journal":{"name":"2021 IEEE 5th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129056585","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}
{"title":"Analysis of Frequency Response of Transformer with Inter-Turn Short Circuit Fault due to Transients","authors":"Bibhav Das, Sathyamoorthy Dhayalan, Enukonda Venkateshwar Reddy, Birender Singh Thind, C. Reddy","doi":"10.1109/catcon52335.2021.9670474","DOIUrl":"https://doi.org/10.1109/catcon52335.2021.9670474","url":null,"abstract":"Transformer insulation is mainly designed based on lightning and switching impulse voltage. The standard lightning impulse waveform is 1.2/50 μsec. Very Fast Transient Overvoltage (VFTO) has a smaller rise time of about 4-100 nanoseconds, followed by some oscillations of about 1 to 50 MHz. The chopped impulse can be classified into two types, if chopping occurs before peak value is reached, the impulse is chopped on front, if it is chopped on the tail, called tail chopped. The chopped impulse and VFTO, if present in the power system network, causes severe degradation of transformer insulation, which may lead to failure or premature breakdown. In this paper, the VFTO and tail time chopped signals are examined on the transformer for inter-turn fault. These test signals are injected into a transformer winding under no-load condition. The frequency response is scrutinized for the healthy and faulty scenario of the transformer in terms of statistical parameters such as Absolute Average Difference (D.A.B.S.), Minimum Maximum Ratio (M.M. absolute), and Comparative Standard Deviation (C.S.D.).These statistical parameters are calculated for a different number of shorted turns on the LV winding of the transformer. Based on these statistical parameters, the variation in the frequency response plots is examined for the healthy and faulty conditions of the transformer","PeriodicalId":162130,"journal":{"name":"2021 IEEE 5th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125371841","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}
{"title":"Electrical Tree Growth Structural Analysis of XLPE Cable Insulation under Different AC Voltage","authors":"R. Sahoo, S. Karmakar","doi":"10.1109/catcon52335.2021.9670515","DOIUrl":"https://doi.org/10.1109/catcon52335.2021.9670515","url":null,"abstract":"The presence of partial discharge (PD) activities degrades the insulation strength and reduces the life span of in-service high voltage XLPE cable. The insulation properties are deteriorated by various factors, such as thermal-aging, electrical-aging, mechanical-aging, and environmental conditions. The main causes of the deterioration are the discharges, due to void, crack, contamination of impurities, etc. If these discharges continue for a certain period, it replicates several carbonyl channels which are known as an electrical tree. The growth rate of treeing phenomena implies a sudden and complete breakdown of in-service cable. This work primarily focuses on the PD measurement, fractal dimension analysis, and electrical tree growth characteristics analysis with respect to time in a 33 kV, 3 core XLPE cable insulation sample. Needle-to-needle electrode configuration is used to investigate the various type of tree structure formation with respect to their PD activities. The Box-counting method is implemented to analyze the fractal dimension which provided information on the volume of damage. The structural deformation of XLPE sample during the tree growth period is examined using ImageJ.net by surface plot analysis.","PeriodicalId":162130,"journal":{"name":"2021 IEEE 5th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126524028","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}
{"title":"Study on the Effect of Acid Rain on Polymeric Insulator through Experimental and Computational Method","authors":"A. R, S. T, U. S","doi":"10.1109/catcon52335.2021.9670493","DOIUrl":"https://doi.org/10.1109/catcon52335.2021.9670493","url":null,"abstract":"Acid rain is one of the most severe environmental contaminants which degrades polymeric insulator material. This paper reports the flashover voltage analyses of a Silicone Rubber sample and 11 kV polymeric insulator subjects to acid rain. A weak organic acid is prepared as an alternative to Sulphuric acid with the same pH and electrical conductivity. The AC flashover voltage of the SiR sample and the 11 kV polymeric insulator is measured with the weak organic citric acid. The results indicate that as the electrical conductivity increases, the flashover voltage decreases. The Electric Field and Leakage current are analyzed through a Finite Element Method based Solver. A linear fit is used to correlate computational and experimental work. The measurement in flashover voltage of 11kV insulator is further extended to DC Flashover Voltage measurement and compared with the AC flashover Voltage.","PeriodicalId":162130,"journal":{"name":"2021 IEEE 5th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125026792","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}
{"title":"Evaluating the Performance of Transformer Insulation Materials Using Finite Element Method","authors":"Nisha Thanua, G. Kumbhar","doi":"10.1109/catcon52335.2021.9670479","DOIUrl":"https://doi.org/10.1109/catcon52335.2021.9670479","url":null,"abstract":"Power transformers proper working is highly dependent on the health of its insulation. With usage the performance of the oil-paper insulation used in transformer gets degraded due to many factors namely the various electrical, thermal and mechanical stresses acting on the insulation. Partial discharges are found to be the main cause of the insulation degradation. The inter-relationship between electric field distribution and discharge patterns are useful in characterising the mechanism of streamer formation and thus optimise the discharge activity in the insulation. Here two models are considered to see how the field distribution assists in discharge formation by using two variants of insulating oil and thus evaluating their performance with aging. Online studies provides a way for continuously monitoring the development of discharges that degrades the performance of insulation thus accelerating its aging.","PeriodicalId":162130,"journal":{"name":"2021 IEEE 5th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123334645","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}
{"title":"Prediction of Suspension Insulator Condition Using Harmonics Ratio Based Method","authors":"M. Shahajahan, S. Dutta, A. Baral","doi":"10.1109/catcon52335.2021.9670505","DOIUrl":"https://doi.org/10.1109/catcon52335.2021.9670505","url":null,"abstract":"Suspension insulators play a vital role in the power system network. However, Different types of pollutants easily contaminate an insulator deployed in an open environment. A conductive channel can form over the suspension insulator's surface due to an increase in contamination level, leading to a current flow between the transmission line system and the supporting structures. As pollution and humidity levels rise, the extent of the leakage current grows. This phenomenon may cause flashover and even failure of the power system network. As a result, the amount of contamination on the porcelain insulator disc must be determined in order to keep the power system steady and smooth. In this context, an 11kV porcelain disc insulator is used in the present work. Thereafter, the Harmonics Ratio Method is applied on the measured leakage current profiles to obtain helpful information regarding insulator surface contamination.","PeriodicalId":162130,"journal":{"name":"2021 IEEE 5th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131806886","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}
Ayush K. Varshney, Aman Singh, Alka Ann Pradeep, A. Joseph, G. P
{"title":"Monitoring State of Health and State of Charge of Lithium-Ion Batteries Using Machine Learning Techniques","authors":"Ayush K. Varshney, Aman Singh, Alka Ann Pradeep, A. Joseph, G. P","doi":"10.1109/catcon52335.2021.9670522","DOIUrl":"https://doi.org/10.1109/catcon52335.2021.9670522","url":null,"abstract":"Lithium-ion batteries are used in a wide range of applications. However, monitoring these batteries effectively is a challenge. There have been several attempts to efficiently estimate the battery state by fitting semi-empirical models. However, these methods tend to be computationally costly. This paper aims to solve this problem using a battery monitoring prototype based on supervised machine learning by estimating the battery’s health and the charge contained by it It can be efficiently designed by making a few changes in the production cycle. The dataset obtained by the manufacturer can be used to train a machine learning model. These models then can be used to estimate the behavioral patterns of the battery in real-time which gives the user an idea about the performance of the battery at any instance. Further, this monitoring system can be extended on a large scale with the help of Internet of Things as thousands of batteries can be monitored using a single server running all the algorithms, thus reducing cost for large-scale applications.","PeriodicalId":162130,"journal":{"name":"2021 IEEE 5th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132458831","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}
{"title":"Electrical degradation characteristics of Low Voltage Zinc Oxide Varistor subjected to AC Switching Surges","authors":"L. Muremi, P. Bokoro, W. Doorsamy","doi":"10.1109/catcon52335.2021.9670532","DOIUrl":"https://doi.org/10.1109/catcon52335.2021.9670532","url":null,"abstract":"this paper focuses on degradation analysis on electrical properties of low voltage zinc oxide varistors exposed to voltage switching surges. The operation and reliability performance of Zinc oxide (ZnO) varistors is dependent on its electrical, physical properties and the type of stress applied. Electrical power systems and electronic circuits experience various type of surge voltages resulting from lightning surges, switching surges and electrostatic discharges. Each electrical equipment has a dielectric strength which can be damaged if its level of strength is passed. In this work, the electrical properties of commercially low voltage varistors of same electrical properties and size from two different manufactures exposed to AC switching surges are analyzed. The reference voltages, Capacitances, and clamping voltages of samples are measured before and after application of switching surges to analyse degradation. The Pearson correlation is applied to identify the degree of relationship between reference voltage and clamping voltage of samples. The results obtained show that the mean percentage change of reference voltage of over 10-11 % and a 9.19-10.11 % at 17.28 million surges for manufacture A and B respectively. The calculated clamping voltage ratio increased and capacitance decreases after applied surges.","PeriodicalId":162130,"journal":{"name":"2021 IEEE 5th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133892348","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}
Mohammed El Amine Senoussaoui, I. Fofana, M. Brahami
{"title":"Influence of Oil Quality on the Interpretation of Dissolved Gas Analysis Data","authors":"Mohammed El Amine Senoussaoui, I. Fofana, M. Brahami","doi":"10.1109/catcon52335.2021.9670513","DOIUrl":"https://doi.org/10.1109/catcon52335.2021.9670513","url":null,"abstract":"Dissolved gas analysis (DGA) is being used for many years as a diagnostic tool for the condition monitoring of power transformers. However, field experiences reveal that the interpretation of these dissolved gas data is not an easy task due to the complexity of the gassing phenomenon. This is due to a number of factors. One of those contributing factors namely, the impact of oil quality is investigated in this contribution. The measurement of the dissolved and undissolved (non-gaseous decomposition) aging by-products respectively assessed by UV / VIS spectrophotometry and turbidity allowed assessing the oil’s quality and its relationships with gas generation under electrical or thermal faults. The obtained results indicated that the degraded oils release more CO along with some small amounts of combustible gases under thermal stress. The volume of gases in the case of an electrical fault is almost the same regardless the oil’s condition.","PeriodicalId":162130,"journal":{"name":"2021 IEEE 5th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114896670","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}
Sreeram V, D. K. Puhan, Rajkumar M, S. Sudhakara Reddy, T. Gurudev
{"title":"Enquiry into correlation of winding capacitance and SFRA measurements in power transformers","authors":"Sreeram V, D. K. Puhan, Rajkumar M, S. Sudhakara Reddy, T. Gurudev","doi":"10.1109/catcon52335.2021.9670504","DOIUrl":"https://doi.org/10.1109/catcon52335.2021.9670504","url":null,"abstract":"SFRA measurements of transformers have been explored for assessment of condition of insulation. The main diagnostic parameters associated with transformer insulation are the winding capacitances and dissipation factor. This paper explores the correlation of winding capacitance measurements and the capacitance values estimated from SFRA measurements in power transformers.","PeriodicalId":162130,"journal":{"name":"2021 IEEE 5th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132581237","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}