{"title":"Influence of CQD Modified Silica Nano Fillers on PD Characteristics of Transformer Oil","authors":"P. Viswanathan, S. Chandrasekar","doi":"10.1109/CATCON47128.2019.CN0051","DOIUrl":"https://doi.org/10.1109/CATCON47128.2019.CN0051","url":null,"abstract":"The work is done to study the partial discharge characteristics of mineral oil based nanofluid made by the addition of surface modified SiO2 nanoparticles with Carbon Quantum Dots (CQD). The nanofluid of 0.05 %wt mass ratio of mineral oil is prepared in the laboratory. The partial discharge characteristics were studied and analyzed for PD magnitude, inception voltage, raise time, maximum peak amplitude, phase resolved partial discharge pattern, time and frequency plots of PD signals. All the tests were done under IEC standards. The results of CQD nanofluids are compared with commercially available mineral oil which is used as the base oil for nanofluids and SiO2 nanofluid of mineral oil. The CQD nanofluid results showed reduced PD amplitude, pulse duration, repetition rate and time length when compared with the virgin mineral oil and silica added mineral oil.","PeriodicalId":183797,"journal":{"name":"2019 IEEE 4th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)","volume":"28 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":"131247615","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":"Space Charge and DC Fields of Multilayer Dielectrics in Plane-Parallel Geometry","authors":"Purnabhishek Muppala, C. Reddy","doi":"10.1109/CATCON47128.2019.CN0009","DOIUrl":"https://doi.org/10.1109/CATCON47128.2019.CN0009","url":null,"abstract":"Space charge always assumes critical importance when it pertains electro-thermal problem of a dielectric subjected to dc stresses for dc cable insulation in particular. The significance of space charge only increases when multilayer dielectrics, cable joints in particular, are concerned. Interfacial polarization, complex electric field distribution and dynamic boundary temperatures greatly increase the probability of breakdown of a multilayer dielectric. Hence as an extension to the authors’ previous works this paper focuses on computation of space charge and its effects related to electric field and temperature profiles of a multilayer dielectric. Poisson’s equation along with Maxwell-Wagner interfacial polarization equation were used to obtain space charge distribution at different boundary temperatures and fields. Net charge accumulation in individual layers at different boundary temperatures and fields were determined.","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":"121966335","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":"Tilting of Pin Insulator in Overhead Feeders","authors":"Vivek Singh, Gaurav Singh","doi":"10.1109/CATCON47128.2019.CN0049","DOIUrl":"https://doi.org/10.1109/CATCON47128.2019.CN0049","url":null,"abstract":"This paper presents a systematic approach using tools & techniques like brainstorming, ABC analysis, Pareto analysis, Fishbone diagram, Data validation and why-why analysis to arrive at an appropriate solution for the main problem of high voltage overhead feeders which is \"Tilting of pin insulators\". Main objective of the problem is to reduce tilting of pin insulator from 36% to 5% on 33kV target feeder from Malviya Nagar to Andheria Bagh it South Delhi area and then it is implemented to all other 33Kv O/H feeders. This paper also gives insight on the impact of developed solution and its overall positive outcome. It also exhibits the approach for its sustainability and benefits for organization and public.","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":"131060866","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":"CATCON 2019 List Reviewer Page","authors":"","doi":"10.1109/catcon47128.2019.9079408","DOIUrl":"https://doi.org/10.1109/catcon47128.2019.9079408","url":null,"abstract":"","PeriodicalId":183797,"journal":{"name":"2019 IEEE 4th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)","volume":"13 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":"125052287","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":"Understanding the Sympathetic Inrush Phenomenon in the Power Network using Transformer Explorer","authors":"S. Sahoo, N. Abeywickrama, T. Bengtsson, R. Saers","doi":"10.1109/CATCON47128.2019.CN0031","DOIUrl":"https://doi.org/10.1109/CATCON47128.2019.CN0031","url":null,"abstract":"An in-service transformer in a substation may experience sympathetic inrush phenomenon due to startup inrush current from an incoming transformer, energized into the network. The startup inrush causes a half cycle voltage dip in either cycle, thereby developing an asymmetrical flux distribution in the nearby transformers in service. The paper discuses about sympathetic inrush current events, originating in a Swedish distribution network due to energization of transformers in same, or neighboring network. These events were further observed to be potentially detrimental to the network operation as well as to the health of the transformers. An in-house online monitoring tool- Transformer Explorer was deployed for continuous data acquisition and capture of the anomalous events including sympathetic inrush. The impact of the transformer following such event is also briefly discussed, based on the combined diagnostic observation made by PSCAD simulation tool and Transformer Explorer.","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":"128217869","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}
R. A. Prasojo, Nur Ulfa Maulidevi, Bambang Anggoro Soedjarno, S. Suwarno
{"title":"Health Index Analysis of Power Transformer with Incomplete Paper Condition Data","authors":"R. A. Prasojo, Nur Ulfa Maulidevi, Bambang Anggoro Soedjarno, S. Suwarno","doi":"10.1109/CATCON47128.2019.CN0073","DOIUrl":"https://doi.org/10.1109/CATCON47128.2019.CN0073","url":null,"abstract":"Transformer is a vital equipment in electrical power system that can degrade faster or slower than its designated life. In order to recognize the vulnerability of a transformer in a fleet, Health Index is commonly used. Conventional Health Index approach require all the data to be available in order to obtain accurate condition of a transformer. However, frequently incomplete data such as furfural is often faced by asset manager. This paper demonstrated the use of seven models to substitute unavailable furfural. Health Indices of 200 transformers with complete data were calculated, and compared to the alternative models. Multiple imputation approaches to predict paper condition of transformer using Multiple Linear Regression (MLR) and ANFIS (Adaptive Neuro-Fuzzy Inference System) had better agreement than other approaches shown by higher coefficient correlation with complete Health Index, as much as 0.959 and 0.960 respectively.","PeriodicalId":183797,"journal":{"name":"2019 IEEE 4th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)","volume":"7 4 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":"133708126","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":"Characterization of Polypropylene under DC-Polarity Reversal","authors":"B. S, S. Usa","doi":"10.1109/CATCON47128.2019.CN0064","DOIUrl":"https://doi.org/10.1109/CATCON47128.2019.CN0064","url":null,"abstract":"In addition to DC stress, common HVDC insulations are subjected to DC Polarity Reversals (DC-PR). DC-PR is used to reverse the direction of power transfer. DC-PR is also used to clear pole faults. It is reported that DC-PR causes reduction in dielectric strength of HVDC insulation systems. The following study reveals the DC-PR breakdown characteristics of polypropylene (PP). A DC-PR generator is constructed to generate the CIGRE (WG-B4.51) defined DC-PR waveform at ±11kV. DC-PR breakdown characteristics of PP (23µm thickness) is obtained for two different reversal times, 500ms and 1.68ms respectively. The effect of reversal time on the breakdown characteristics is studied. The effect of type of reversal (i.e. transition from positive DC to negative DC and vice-versa) is studied. The sample is subjected to standard AC, DC and switching impulse (SI) breakdown tests for comparison. The effect of rate of change of voltage on the breakdown characteristics is analyzed.","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":"131062611","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 Novel Autonomous Technique for Early Fault Detection on Overhead Power Lines","authors":"K. Wong, T. Marxsen, M. Liang, J. S. Chahal","doi":"10.1109/CATCON47128.2019.CN0027","DOIUrl":"https://doi.org/10.1109/CATCON47128.2019.CN0027","url":null,"abstract":"Providing uninterrupted, reliable and high-quality power supply to consumers have been very challenging for power utilities around the world. The utilities spend a considerable amount for the maintenance, inspection, testing and monitoring of power infrastructure to achieve the above. The overhead power lines are the main power carriers for the delivery of electricity to the consumers. These overhead power lines are prone to risk of fires and faults caused by vegetation encroachment and touches on the power corridor, resulting in damage to the conductors, power blackouts and catastrophic events such as wildfires or bushfires. Therefore, utilities have to regularly inspect and monitor powerlines for the prevention of damage. Utilities have been adopting foot patrol, aerial inspections and more recently LIDAR technology to inspect the overhead power lines on regular basis. However, these approaches only give \"point of time\" information and are time consuming and costly. This paper presents a novel technique which uses directional antennas mounted on poles carrying overhead conductor to detect the partial discharge (PD) signals generated by incipient faults in an experimental set up and also field testing. These PD signals are processed by FPGA signal processing unit for peak detection and filtering and digest of the signals is delivered to a secured cloud server for post-data processing such as trend analysis, pattern recognition and localisation. This paper demonstrates the effectiveness of this Early Fault Detection (EFD) technique to accurately locate vegetation encroachment and partial discharge originated from broken insulators, defective gas switches and transformers. This technology has been successfully employed at various locations on distribution feeders in Australia and the results are very encouraging.","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":"115394883","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}
Abhishek Kumar, Priyanshi Aggarwal, G. Kumbhar, B. Bhalja
{"title":"Fault Diagnostic in the Transformer Winding by Sweep Frequency Response Analysis","authors":"Abhishek Kumar, Priyanshi Aggarwal, G. Kumbhar, B. Bhalja","doi":"10.1109/CATCON47128.2019.CN0054","DOIUrl":"https://doi.org/10.1109/CATCON47128.2019.CN0054","url":null,"abstract":"High voltage transformer, an expensive element of transmission and distribution networks, works under different mechanical, electrical and environmental conditions. As its performance in the network directly affects the reliability of the network, temporary/permanent outage results in interruption of power to the customers along with a loss of revenue. In order to avoid the said problem, this paper presents Sweep Frequency Response Analysis (SFRA) based technique that detects turn to turn shorts in the winding of the high voltage transformer. Unlike graphical analysis based conventional technique which needs expertise and experience of different people for fault diagnostic, the proposed technique is capable to detect and locate fault using statistical parameters that do not require expert advice. The simulation results as well as results obtained from the laboratory prototype of the transformer clearly indicate the effectiveness of the suggested technique in detecting and locating series and parallel faults in the winding of the high voltage transformer.","PeriodicalId":183797,"journal":{"name":"2019 IEEE 4th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)","volume":"16 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":"121304180","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}
Ramya Ramani, S. Siddhartha, Chandrashekhar A Badachi, Aparna S K, H. Gowda
{"title":"IoT Based Condition Monitoring of Outdoor Insulators Under Heavily Polluted Conditions","authors":"Ramya Ramani, S. Siddhartha, Chandrashekhar A Badachi, Aparna S K, H. Gowda","doi":"10.1109/CATCON47128.2019.CN0044","DOIUrl":"https://doi.org/10.1109/CATCON47128.2019.CN0044","url":null,"abstract":"The reliability of transmission network mainly depends on the performance of the outdoor insulators. The outdoor porcelain insulators have been greatly affected by the effect of pollution present in the field. The pollution on the surface of the insulators can be cleaned through proper maintenance. To perform the maintenance effectively it is essential to monitor the condition of the outdoor insulators.In the present work, Internet of Things has been used to monitor the insulators condition as IoT is being a latest technology which offers more flexibility and simplicity.Therefore, the present work deals with IoT based condition monitoring of outdoor insulators under heavily polluted conditions. The condition monitoring of insulator includes monitoring of leakage current, temperature and humidity of a polluted insulator.","PeriodicalId":183797,"journal":{"name":"2019 IEEE 4th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)","volume":"75 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":"121019614","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}