A real time study on condition monitoring of distribution transformer using thermal imager

Abstract The transformer is one of the critical apparatus in the power system. At any cost, a few minutes of outages harshly influence the power system. Hence, prevention-based maintenance technique is very essential. The continuous conditioning and monitoring technology significantly increases the life span of the transformer, as well as reduces the maintenance cost. Hence, conditioning and monitoring of transformer’s temperature are very essential. In this paper, a critical review has been made on various conditioning and monitoring techniques. Furthermore, a new method, hot spot indication technique, is discussed. Also, transformer’s operating condition is monitored by using thermal imager. From the thermal analysis, it is inferred that major hotspot locations are appearing at connection lead out; also, the bushing of the transformer is the very hottest spot in transformer, so monitoring the level of oil is essential. Alongside, real time power quality analysis has been carried out using the power analyzer. It shows that industrial drives are injecting current harmonics to the distribution network, which causes the power quality problem on the grid. Moreover, the current harmonic limit has exceeded the IEEE standard limit. Hence, the adequate harmonics suppression technique is need an hour.

[1]  Daniel Martin,et al.  Condition monitoring of vegetable oil insulation in in-service power transformers: some data spanning 10 years , 2017, IEEE Electrical Insulation Magazine.

[2]  Viktor Milardić,et al.  Lightning impulse voltage distribution over voltage transformer windings — Simulation and measurement , 2017 .

[3]  Ayman H. El-Hag,et al.  A Novel Bias Detection Technique for Partial Discharge Localization in Oil Insulation System , 2016, IEEE Transactions on Instrumentation and Measurement.

[4]  Soib Taib,et al.  Application of infrared thermography for predictive/preventive maintenance of thermal defect in electrical equipment , 2013 .

[5]  S. Eeckhoudt,et al.  Stray gassing of transformer insulating oils: impact of materials, oxygen content, additives, incubation time and temperature, and its relationship to oxidation stability , 2017, IEEE Electrical Insulation Magazine.

[6]  Juan Carlos Burgos,et al.  Studying the loss of life of natural-ester-filled transformer insulation: impact of moisture on the aging rate of paper , 2017, IEEE Electrical Insulation Magazine.

[7]  Xiang Zhang,et al.  Determination of the thermal aging factor for life expectancy of 550 kV transformers with a preventive test , 2013, IEEE Transactions on Dielectrics and Electrical Insulation.

[8]  Ahmet Teke,et al.  A novel wavelet transform based voltage sag/swell detection algorithm , 2015 .

[9]  Ponnuthurai N. Suganthan,et al.  Minimizing harmonic distortion in power system with optimal design of hybrid active power filter using differential evolution , 2017, Appl. Soft Comput..

[10]  J. C. Gonzales,et al.  Power Transformer Condition Assessment Using DGA and FRA , 2016, IEEE Latin America Transactions.

[11]  Bernd Christian,et al.  The behavior of different transformer oils relating to the generation of fault gases after electrical flashovers , 2017 .

[12]  Huang Ronghui,et al.  Real-time Temperature Monitoring System Using FBG Sensors on an Oil-immersed Power Transformer , 2014 .

[13]  Kittipong Anantavanich,et al.  Calculation of Pressure Rise in Electrical Installations Due to Internal Arcing Taking Into Account Arc Energy Absorbers , 2016, IEEE Transactions on Power Delivery.

[14]  Sherif S. M. Ghoneim,et al.  A new approach of DGA interpretation technique for transformer fault diagnosis , 2016 .

[15]  Blanca Tejedor,et al.  Quantitative internal infrared thermography for determining in-situ thermal behaviour of façades , 2017 .

[16]  Nasrullah Khan,et al.  Review of harmonic analysis, modeling and mitigation techniques , 2017 .

[17]  Steven M. Blair,et al.  Automatically Detecting and Correcting Errors in Power Quality Monitoring Data , 2017 .

[18]  T. Leibfried,et al.  Online monitors keep transformers in service , 1998 .

[19]  Wenyu Guo,et al.  A field study of aging in paper-oil insulation systems , 2012, IEEE Electrical Insulation Magazine.

[20]  Davide Della Giustina,et al.  Power Quality Conditioning in LV Distribution Networks: Results by Field Demonstration , 2017, IEEE Transactions on Smart Grid.

[21]  Mileta Žarković,et al.  Analysis of artificial intelligence expert systems for power transformer condition monitoring and diagnostics , 2017 .

[22]  G. Callender,et al.  Methods for wavelet-based autonomous discrimination of multiple partial discharge sources , 2017, IEEE Transactions on Dielectrics and Electrical Insulation.

[23]  Tomoyuki Hikosaka,et al.  Lifetime estimation of cellulosic insulation material in palm fatty acid ester for power transformers , 2017, IEEE Transactions on Dielectrics and Electrical Insulation.