{"title":"Analysis of electric stress and partial discharge ultra high frequency signal","authors":"B. Karthik, C. Kavya, P. Kundu","doi":"10.1109/CATCON.2017.8280212","DOIUrl":"https://doi.org/10.1109/CATCON.2017.8280212","url":null,"abstract":"Insulation plays a very crucial role in designing of electrical apparatus for transmission and distribution of electric power. Partial Discharge (PD) is the main reason for deterioration of insulation around the conductor which leads to complete breakdown of insulation interrupting the supply. Electric stress gives rise to partial discharge in the insulation system of electric apparatus. In this work two electrode configurations are considered viz. Point-Plane and Rod-Plane Electrode. The same has been modeled in the Finite Element Method (FEM) software. For stress analysis Partial Discharge Inception Voltage (PDIV) and Breakdown Voltage (BDV) is considered. PDIV and BDV are measured in the laboratory using Ultra High Frequency Sensors. Stress has been calculated for various gap distances between the two electrodes considering two configurations of electrodes for both PDIV and BD by modeling in FEM. Fast Fourier Transformation (FFT) is carried out for the Partial discharge signals captured in the Multiple Signal Oscilloscope (MSO).","PeriodicalId":250717,"journal":{"name":"2017 3rd International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)","volume":"223 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115556077","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":"Cole-cole representation of transformer oil-paper insulation dielectric response","authors":"S. K. Ojha, P. Purkait, S. Chakravorti","doi":"10.1109/CATCON.2017.8280180","DOIUrl":"https://doi.org/10.1109/CATCON.2017.8280180","url":null,"abstract":"Information about the condition of oil-paper insulation is of extreme importance for evaluating ageing status and maintenance requirement of transformers. Dielectric testing techniques in both time domain and frequency domain are being assessed in recent years as supplements to traditional techniques by researchers and utilities. Several attempts have thus been made to understand the physical processes of dielectric relaxation taking place during such tests by correlating conventional tests, time domain and frequency domain dielectric measurements, and chemical techniques. In practical dielectric systems, the dipoles are found to relax according to a distribution of elementary Debye relaxation frequencies during the dielectric response measurements. Researchers have proposed models that can simulate such many-body interaction processes with the help of suitable distribution density functions. Frequency domain spectroscopy (FDS) data can further be computed from the distribution density function thus formulated. The present contribution discusses mathematical formulations used for transforming time domain data to distribution domain and further to frequency domain. Findings about the influence on operating temperature, moisture content, charging voltage etc. on the relaxation process of oil-paper insulation have been reported in this contribution. Results of tests on field transformers are also presented. This paper also highlights the possible use of Cole-Cole models and employs the features of Cole-Cole diagrams for analyzing condition of dielectric materials.","PeriodicalId":250717,"journal":{"name":"2017 3rd International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128934248","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":"Life assessment of TUK and Nomex-910 impregnated mineral transformer oils using Raman spectroscopy","authors":"C. Ranga, A. Chandel","doi":"10.1109/CATCON.2017.8280218","DOIUrl":"https://doi.org/10.1109/CATCON.2017.8280218","url":null,"abstract":"Concentration of furfural (Furan-2-carbaldehyde) in transformer oils is a well-known indicator for thermal degradation in oil-paper insulation. The application of Raman spectroscopy to determine thermal deterioration as a function of Furfural concentration can overcome many disadvantages of traditional detection methods and accelerated testing. In the present paper, thermal stability of thermally upgraded Kraft (TUK) and Nomex-910 impregnated mineral transformer oils has been investigated at higher accelerated thermal stresses. Samples having a standard mass ratio of oil and paper insulations in accordance with IEEE Std. C57.154-2012 have been studied. These samples were thermally stressed at 120°C and 150°C. Subsequently, the aged samples were analyzed using Raman spectroscopy test. Furfural was characterized by Raman signal at 1705.69 cm−1, where no spectral interferences caused by oil-derived Raman signals occur. It has been observed from the test results that the oil sample consisting of TUK has higher life than that of the Nomex-910 immersed oil sample. It indicates that the Furfural formation in TUK test samples is more as compared to its Nomex-910 counterpart. Hence the degradation rate of TUK oil samples is more at higher temperatures. Consequently, Nomex-910 has been found more suitable for high temperature applications than TUK.","PeriodicalId":250717,"journal":{"name":"2017 3rd International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132902539","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":"A review on impact of distributed generation and electrical vehicles on aging of distribution transformer","authors":"Kanhaiya Kumar, G. Kumbhar","doi":"10.1109/CATCON.2017.8280229","DOIUrl":"https://doi.org/10.1109/CATCON.2017.8280229","url":null,"abstract":"In recent years, a lot of advancement took place in distributed generation (DG) and electric vehicle (EV) technology. As a result, many utilities worldwide are planning to deploy DG in their distribution system to ease the growing energy demand. Moreover, many countries are encouraging the growth of EVs to reduce carbon and other green house gas emission, limit air and noise pollution, and enhance energy security. However, in the design of traditional power systems, these technological advancements were not considered. These technologies can make an impact on the life of assets of the distribution systems. Therefore, they need to be addressed appropriately for better estimation of asset utilization. A DT is one of the major assets for any electrical distribution system. For satisfactory operation, its performance in the presence of new emerging technology should be properly investigated. This paper has reviewed the impact of these technologies on the aging along with some measure to minimize loss-of-life.","PeriodicalId":250717,"journal":{"name":"2017 3rd International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)","volume":"199 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133052503","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":"Preliminary investigations on propagation of partial discharge induced currents in a transformer winding","authors":"Santosh Janaki Raman, U. Kumar","doi":"10.1109/CATCON.2017.8280231","DOIUrl":"https://doi.org/10.1109/CATCON.2017.8280231","url":null,"abstract":"Historically, different variants of the distributed circuit model have been used to model the windings for the frequencies encountered in a PD excitation. However, all circuit based methodologies assume a transverse electro-magnetic (TEM) mode of propagation, and for a high frequency excitation as encountered in a PD, other modes could be excited. Therefore, deviating from the conventional circuit based methodologies, this paper employs a full-wave electromagnetic scheme for modelling of coils. Instabilities in the marching-on in time (MOT) methodologies encountered in a previous work are dealt by adopting a superior marching-on in degree (MOD) scheme. A layer winding is modelled and current distribution is obtained numerically when it is excited by a voltage source representing PD induced voltage. The currents are used to evaluate electric fields in the radial and azimuthal directions to show the existence of a non-TEM mode. The currents at the location of the voltage source and the coil terminal are compared in time and frequency domains and differences in terms of rise-times of the current pulses and the magnitude of high frequency components are elucidated.","PeriodicalId":250717,"journal":{"name":"2017 3rd International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115684829","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":"A C breakdown voltage characteristics of synthetic ester based egg shell nano fluids","authors":"P. Thomas, Nandini E Hudedmani","doi":"10.1109/CATCON.2017.8280195","DOIUrl":"https://doi.org/10.1109/CATCON.2017.8280195","url":null,"abstract":"Power transformer play a very important role in the power sector and mineral oil has been used as insulating medium due to its availability and cost. However, it undergoes severe ageing due to the contaminants, oxygen and moisture results in the deterioration of insulating properties. To overcome these, various synthetic liquids were developed, which can withstand severe electrical stresses. Especially, synthetic esters, which are readily biodegradable, superior moisture tolerance, fire safety, and high load capabilities have attracted the utilities to make use of these fluids as an alternate to mineral oil for transformer applications. In recent years, in order to have improved critical parameters and heat transfer characteristics, nanofluids were considered the next generation insulting fluids. In this work, synthetic ester based nanofluids were prepared by employing egg shell nano particles, which would give rise to environmental friendly insulating liquids for the transformer applications. The Synthetic ester based egg shell nano fluids with various weight percent (0.001 to 0.005 wt %) of eggshell nano particles were prepared under ultrasonication. These nano fluids were evaluated for parameters such as AC breakdown voltage (BDV), loss tangent, dielectric permittivity, resistivity, Flash Point and acidity. The AC breakdown voltage (BDV) increased as the weight percent of eggshell nano particles increased. The effect of eggshell nano particles on the critical parameters were studied in detail and the same is discussed in this work.","PeriodicalId":250717,"journal":{"name":"2017 3rd International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127118868","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":"Inter phase fault detection in inverter fed induction motor using wavelet transform","authors":"B. A. Vinayak, Rahim Uddin, G. Jagadanaand","doi":"10.1109/CATCON.2017.8280193","DOIUrl":"https://doi.org/10.1109/CATCON.2017.8280193","url":null,"abstract":"In this research an inter-phase fault in the stator winding of Induction Motor will be analyzed by varying the switching frequency of the sine PWM inverter under different loading conditions. Induction Motor is modeled under faulty condition using mesh equations in matlab/simulink blocks. Stator current for different fault percentages in two phases are obtained by simulation. These current signals are further analyzed using wavelet coefficient and statistical parameters. The statistical parameter is used to develop a fault detection algorithm. The statistical data obtained is be used in Support Vector Machine (SVM) to develop a boundary equation. This equation will classify the healthy and faulty condition of motor.","PeriodicalId":250717,"journal":{"name":"2017 3rd International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124987484","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":"Application of artificial neural networks to monitor thermal condition of electrical equipment","authors":"Surbhi Pareek, Ritam Sharma, Ranjan Maheshwari","doi":"10.1109/CATCON.2017.8280208","DOIUrl":"https://doi.org/10.1109/CATCON.2017.8280208","url":null,"abstract":"Infrared thermography technology is nowadays one of the most efficient non-destructive testing techniques for diagnosing faults of electrical systems and components. Overheated components in electrical systems and equipment indicate a poor connection, overloading, load imbalance or any other defect. Employing Thermographic inspection for finding such heat-related problems before subsequent failure of the system is practised in several industries. However, an automatic diagnostic system based on artificial neural network enhances the functionality by decreasing the operating time, human efforts and also increases the reliability of the system. The present article proposes employing artificial neural network (ANN) for inspection of electrical components and classifying their thermal conditions into three classes namely normal, intermediate and critical. Two different sets of inputs were provided to the neural network classifier, firstly statistical data of the temperature profile obtained from thermal images and secondly histogram based first order statistical features along with the glcm based features and both are compared to get the performance of network created. The multilayered perceptron network (MLP) was used as the classifier and the performance of the network was compared to two different training algorithms, viz. Levenberg-Marquardt (LM) and Scaled Conjugate Gradient (SCG). The performances were determined in terms of percentage of accuracy by plotting the confusion matrix. It was found that MLP network trained using the SCG algorithm gives the highest percentage of accuracy of classification i.e., 91.5% for the Statistical data features of the temperature profile as compared to the other set of features.","PeriodicalId":250717,"journal":{"name":"2017 3rd International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128794697","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":"Design and development of high voltage 10ns rep-rate pulsar","authors":"G. Kumar, A. Patel, Archana Sharma","doi":"10.1109/CATCON.2017.8280220","DOIUrl":"https://doi.org/10.1109/CATCON.2017.8280220","url":null,"abstract":"Rep-rate pulse generator has been developed for biomedical application, to trigger spark gap in high voltage applications etc, using avalanche mode operation of transistors and blumlein pulse forming line. The output voltage is up to 1.7kV, with rise time as fast as ∼4 nanoseconds and FWHM of 10 nanoseconds, having repetition rate of ∼4.5 kHz. We have developed this pulsar to observe the biological cell viability and morphological changes in biological cells at achieved voltage, pulse duration and frequency. System is working reliably with above parameter. Unit is discussed in detail.","PeriodicalId":250717,"journal":{"name":"2017 3rd International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130944207","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 effects of lower molecular weight acids in oil-paper insulated transformer","authors":"S. K. Ojha, P. Purkait, Sivaji Chakravorti","doi":"10.1109/CATCON.2017.8280200","DOIUrl":"https://doi.org/10.1109/CATCON.2017.8280200","url":null,"abstract":"Paper insulation breakdown of a transformer will directly result in the failure of its operation. Temperature variation in transformer initiates cellulose chain scission. Studies indicate that carboxylic acids are formed due to this scission in an aged transformer. Organic acids that are produced as byproduct is one of the key factors for insulation degradation in an oil-paper insulated transformer. Low molecular weight acids that are water soluble, prefer to stay in paper, which eventually affects the paper insulation, whereas the higher molecular weight acids are known to be fat soluble and affect the oil insulation. Along with the traditional methods which are used for condition monitoring, initiatives must be taken to understand the influence of acids generated inside the transformer. With a view to look into the detrimental effects of acids on the insulation status, organic acids are mixed in a definite proportion with transformer oil and the experimental results on an insulation sample are reported. An attempt has been made to correlate the dielectric test results with type and concentration of organic acids present in the transformer insulation system.","PeriodicalId":250717,"journal":{"name":"2017 3rd International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)","volume":"1016 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134064946","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}