Academic literature on the topic 'Distribution transformer thermal aging'

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Journal articles on the topic "Distribution transformer thermal aging"

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Zhang, Xiaojing, Lu Ren, Haichuan Yu, et al. "Dual-Temperature Evaluation of a High-Temperature Insulation System for Liquid-Immersed Transformer." Energies 11, no. 8 (2018): 1957. http://dx.doi.org/10.3390/en11081957.

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A high-temperature oil–paper insulation system offers an opportunity to improve the overloading capability of distribution transformers facing seasonal load variation. A high-temperature electrical insulation system (EIS) was chosen due to thermal calculation based on a typical loading curve on the China Southern Power Grid. In order to evaluate candidate high-temperature insulation systems, Nomex® T910 (aramid-enhanced cellulose) immersed in FR3 (natural ester) was investigated by a dual-temperature thermal aging test compared with a conventional insulation system, Kraft paper impregnated wit
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Wei, Yanhui, Wang Han, Guochang Li, Xiaojian Liang, Zhenlu Gu, and Kai Hu. "Aging Characteristics of Transformer Oil-Impregnated Insulation Paper Based on Trap Parameters." Polymers 13, no. 9 (2021): 1364. http://dx.doi.org/10.3390/polym13091364.

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Oil-impregnated insulation paper is an important part of transformers; its performance seriously affects the life of power equipment. It is of significance to study the aging characteristics and mechanism of oil-impregnated insulation paper under thermal stress for transformer status detection and evaluation. In the work, the accelerated thermal aging was carried out at 120 °C, and DP1490, DP787, and DP311 samples were selected to represent the new, mid-aging, and late-aging status of the transformer, respectively. The space charge distribution within the specimens was measured by the pulsed e
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Li, Min, Wei Yao, Xin Gao, and Yan Ren. "Temperature simulation of oil-immersed transformerbased on fluid-thermal coupling." Journal of Physics: Conference Series 2503, no. 1 (2023): 012060. http://dx.doi.org/10.1088/1742-6596/2503/1/012060.

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Abstract The main components of the transformer face overheating and insulation aging caused by electromagnetic losses, which affect their service life. This paper analyzes an oil-immersed transformer with a rated voltage of 800kV based on heat transfer and fluid dynamics principles. The temperature distribution is carried out by magnetic-thermal coupling simulation. The influence of insulation oil flow rate on temperature is analyzed in the thermal field calculation, and the overall temperature rise of transformer and insulating oil is obtained. It turned out that the highest hot spot of the
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Poliakov, M. O., and V. V. Vasylevskyi. "Method for assessing unevenness of cellulose insulation layers aging of power transformers winding." Electrical Engineering & Electromechanics, no. 5 (September 6, 2022): 47–54. http://dx.doi.org/10.20998/2074-272x.2022.5.08.

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Introduction. Improving the methods of estimating the insulation aging of the oil-immersed power transformer windings is an urgent task for transformer condition monitoring systems. The scientific novelty of the work is to take into account the uneven distribution of temperature and humidity along the vertical axis of the winding in modeling the aging of insulation and to develop methods for determining the conditions under which the aging rate of insulation in the intermediate layer will exceed aging rate in the hottest layer. The purpose of the work is to evaluate the wear unevenness of cell
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Cao, Jian, Hao Jun Zhou, and Su Xiang Qian. "Research on the 3D Temperature Field of Transformer Winding Based on Finite Element Analysis." Advanced Materials Research 129-131 (August 2010): 353–57. http://dx.doi.org/10.4028/www.scientific.net/amr.129-131.353.

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Power transformer is one of the most important electric equipments in power network, its running state has a direct effect on its safe operation of power network. Fault’s occurrence of power transformer probably result in vast hazards or accidents. According to statistics, its over-temperature operation of winding often result in different fault patterns, such as aging, breakdown and its burnt, etc, which has a large proportion in its accidents of power transformer. In this paper, based on the thermal analysis theory, a 3D thermal field model of transformer’s winding and core is respectively e
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Dong, Bingbing, Yu Gu, Changsheng Gao, Zhu Zhang, Tao Wen, and Kejie Li. "Three-Dimensional Electro-Thermal Analysis of a New Type Current Transformer Design for Power Distribution Networks." Energies 14, no. 6 (2021): 1792. http://dx.doi.org/10.3390/en14061792.

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In recent years, the new type design of current transformer with bushing structure has been widely used in the distribution network system due to its advantages of miniaturization, high mechanical strength, maintenance-free, safety and environmental protection. The internal temperature field distribution is an important characteristic parameter to characterize the thermal insulation and aging performance of the transformer, and the internal temperature field distribution is mainly derived from the joule heat generated by the primary side guide rod after flowing through the current. Since the e
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Grabko, Volodymyr, Stanislav Tkachenko, and Oleksandr Palaniuk. "Determination of temperature distribution on windings of oil transformer based on the laws of heat transfer." ScienceRise, no. 5 (October 29, 2021): 3–13. http://dx.doi.org/10.21303/2313-8416.2021.002140.

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Object of research: development of a technology for determining the temperature of the winding of a power oil transformer, in particular, the analysis of thermal processes in the winding of a power transformer during short-term overloads, taking into account the influence of the environment.
 Investigated problem: temperature distribution in the winding of a power oil transformer taking into account short-term load surges in the problem of assessing the residual life of the insulation of the transformer winding by temperature aging. The calculation of the temperature distribution in the w
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Prasojo, Rahman Azis, Rohmanita Duanaputri, Jamik Apriliasari, Rosina Ahda Dini, and Devi Soviati Mahmudah. "Review pengaruh penetrasi photovoltaic terhadap loss of life dan kinerja transformator." JURNAL ELTEK 20, no. 2 (2022): 61. http://dx.doi.org/10.33795/eltek.v20i2.357.

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ABSTRAK
 Salah satu peralatan yang penting dalam sistem distribusi tenaga listrik adalah transformator. Penuaan transformator disebabkan oleh kerusakan isolasi yang diakibatkan dari proses degradasi kimia yang terakselerasi oleh oksidasi dan peningkatan suhu. Maka dari itu, untuk menilai loss of life transformator yang paling umum digunakan adalah menggunakan karakteristik thermal transformator. Peningkatan penggunaan photovoltaic (PV) yang mulai menyebar di berbagai daerah adalah salah satu bukti mulai diandalkannya energi terbarukan. Hal ini membawa dampak positif maupun negatif, baik b
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Hong, Shin-Ki, Sung Gu Lee, and Myungchin Kim. "Assessment and Mitigation of Electric Vehicle Charging Demand Impact to Transformer Aging for an Apartment Complex." Energies 13, no. 10 (2020): 2571. http://dx.doi.org/10.3390/en13102571.

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Due to the increasing use of Electric Vehicles (EVs), the effect of the EV charging power demand on the reliability of the power system infrastructure needs to be addressed. In apartment complexes, which have emerged as a common residential type in metropolitan areas and highly populated districts, high charging demand could result in substantial stress to distribution networks. In this work, the effect of EV charging power demand in an apartment complex on the aging of the Distribution Transformer (DT) is studied. A methodology based on the stochastic characterization of vehicle usage profile
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Jalbert, Rodriguez-Celis, Arroyo-Fernández, Duchesne, and Morin. "Methanol Marker for the Detection of Insulating Paper Degradation in Transformer Insulating Oil." Energies 12, no. 20 (2019): 3969. http://dx.doi.org/10.3390/en12203969.

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This manuscript presents a comprehensive literature review with the aim to provide readers a reference document with up-to-date information on the field of methanol use as a chemical marker. It has been a little more than a decade since methanol was first introduced as a marker for assessing solid insulation condition in power transformers. It all started when methanol was identified in the laboratory during thermal ageing tests carried out with oil-immersed insulating papers and was subsequently also identified in transformer field samples. The first publication on the subject was released in
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Dissertations / Theses on the topic "Distribution transformer thermal aging"

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Gao, Yuan. "Assessment of future adaptability of distribution transformer population under EV scenarios." Thesis, University of Manchester, 2016. https://www.research.manchester.ac.uk/portal/en/theses/assessment-of-future-adaptability-of-distribution-transformer-population-under-ev-scenarios(f2aafdab-2161-4968-9568-2550a80d673e).html.

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As one of the most promising pathways in the transition period towards the low carbon economy, a large scale implementation of electric vehicles (EV) is expected in the near future. Concentration of EV charging in a small area or within a short time will dramatically affect the load demand profile, especially the peak load in the distribution network. As a result, distribution transformers are facing hazards of shortened lifetime due to extra loads, and direct failures caused by potential overloads. Considering the large number of distribution transformers and the massive investment involved,
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Marko, Robert Michael. "Thermal modelling of a natural-convection-cooled, oil-immersed distribution transformer." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/mq23407.pdf.

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Mohamed, Ali Mohamed. "ANALYZING THE IMPACT OF PHOTOVOLTAIC AND BATTERIE SYSTEMS ON THE LIFE OF A DISTRIBUTION TRANSFORMER." Thesis, Mälardalens högskola, Akademin för ekonomi, samhälle och teknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-54952.

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This degree project presents a study case in Eskilstuna-Sweden, regarding the effect of the photovoltaic (PV) systems with battery energy storage system (BESS) on a power distribution transformer, and how they could change the transformer lifespan. For that, an extensive literature review has been conducted, and two MATLAB models were used to simulate the system. One model simulates the PV generation profile, with the option of including battery in the system, and the other one simulates the transformer loss of life (LOL) based on the thermal characteristics. Simulations were using hourly time
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Pradhan, Manoj Kumar. "Conformal Thermal Models for Optimal Loading and Elapsed Life Estimation of Power Transformers." Thesis, Indian Institute of Science, 2004. http://hdl.handle.net/2005/97.

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Power and Generator Transformers are important and expensive elements of a power system. Inadvertent failure of Power Transformers would cause long interruption in power supply with consequent loss of reliability and revenue to the supply utilities. The mineral oil impregnated paper, OIP, is an insulation of choice in large power transformers in view of its excellent dielectric and other properties, besides being relatively inexpensive. During the normal working regime of the transformer, the insulation thereof is subjected to various stresses, the more important among them are, electrical,
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Zhang, Xiang. "Dimensional analysis based CFD modelling for power transformers." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/dimensional-analysis-based-cfd-modelling-for-power-transformers(49cac27d-38b9-4f23-a6ec-b5106422420c).html.

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Reliable thermal modelling approaches are crucial to transformer thermal design and operation. The highest temperature in the winding, usually referred to as the hot-spot temperature, is of the greatest interest because the insulation paper at the hot-spot undergoes the severest thermal ageing, and determines the life expectancy of the transformer insulation. Therefore, the primary objective of transformer thermal design is to control the hot-spot temperature rise over the ambient temperature within certain limit. For liquid-immersed power transformers, the hot-spot temperature rise over the a
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Ureh, Henry Chigozie. "IMPACTS OF PLUG-IN ELECTRIC VEHICLE ON RESIDENTIAL ELECTRIC DISTRIBUTION SYSTEM USING STOCHASTIC AND SENSITIVITY APPROACH." DigitalCommons@CalPoly, 2011. https://digitalcommons.calpoly.edu/theses/642.

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Plug-in Electric Vehicles (PEVs) are projected to become a viable means of transportation due to advances in technology and advocates for green and eco-friendly energy solutions. These vehicles are powered partially, or in some cases, solely by the energy stored in their battery packs. The large sizes of these battery packs require large amount of energy to charge, and as the demand for PEV increases, the increase in energy demand needed to recharge these PEV batteries could pose problems to the present electric distribution system. This study examines the potential impacts of PEV on a residen
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"Moving to a Smart Distribution Grid through Automatic Dynamic Loading of Substation Distribution Transformers." Master's thesis, 2011. http://hdl.handle.net/2286/R.I.9355.

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abstract: Dynamic loading is the term used for one way of optimally loading a transformer. Dynamic loading means the utility takes into account the thermal time constant of the transformer along with the cooling mode transitions, loading profile and ambient temperature when determining the time-varying loading capability of a transformer. Knowing the maximum dynamic loading rating can increase utilization of the transformer while not reducing life-expectancy, delaying the replacement of the transformer. This document presents the progress on the transformer dynamic loading project sponsored by
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"Dynamic Loading of Substation Distribution Transformers: Detecting Unreliable Thermal Models and Improving the Accuracy of Predictions." Master's thesis, 2014. http://hdl.handle.net/2286/R.I.25809.

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abstract: t temperature (HST) and top-oil temperature (TOT) are reliable indicators of the insulation temperature. The objective of this project is to use thermal models to estimate the transformer's maximum dynamic loading capacity without violating the HST and TOT thermal limits set by the operator. In order to ensure the optimal loading, the temperature predictions of the thermal models need to be accurate. A number of transformer thermal models are available in the literature. In present practice, the IEEE Clause 7 model is used by the industry to make these predictions. However, a linear
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"Dynamic Loading of Substation Distribution Transformers: An Application for use in a Production Grade Environment." Master's thesis, 2013. http://hdl.handle.net/2286/R.I.20804.

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abstract: Recent trends in the electric power industry have led to more attention to optimal operation of power transformers. In a deregulated environment, optimal operation means minimizing the maintenance and extending the life of this critical and costly equipment for the purpose of maximizing profits. Optimal utilization of a transformer can be achieved through the use of dynamic loading. A benefit of dynamic loading is that it allows better utilization of the transformer capacity, thus increasing the flexibility and reliability of the power system. This document presents the progress on a
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Books on the topic "Distribution transformer thermal aging"

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1958-, Kramer Bill, Markel, A. J. (Anthony J.), National Renewable Energy Laboratory (U.S.), and International Electric Vehicle Symposium (25th : 2010 : Shenzhen, China), eds. Application of distribution transformer thermal life models to electrified vehicle charging loads using Monte-Carlo method: Preprint. National Renewable Energy Laboratory, 2011.

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Book chapters on the topic "Distribution transformer thermal aging"

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An, Yi, Jianbing Pan, Beibei Li, Bei Liu, and Kesheng Gai. "A Thermal Evaluation Method of Data-Driven Distribution Transformer." In Lecture Notes in Electrical Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5959-4_233.

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Raith, Johannes, Christian Bonini, and Mario Scala. "Simulation of Long-Term Transformer Operation with a Dynamic Thermal, Moisture and Aging Model." In Lecture Notes in Electrical Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5600-5_17.

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Roshan, Rajesh, Manisha Sharma, and Raj Kumar Jarial. "Thermal Aging Analysis of Nomex Paper Solid Insulation Impregnated in Ester Insulation Oil for Possible Use in Transformer." In Intelligent Computing Applications for Sustainable Real-World Systems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44758-8_18.

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Conference papers on the topic "Distribution transformer thermal aging"

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Sedighi, Alireza, Ali Kafiri, Mostafa Shahnazari, Mohammad reza Sehati, and Faride Behdad. "Aging Assessment of Distribution Transformers Based on Thermal Imaging." In 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). IEEE, 2019. http://dx.doi.org/10.1109/eeeic.2019.8783439.

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Najdenkoski, K., G. Rafajlovski, and V. Dimcev. "Thermal Aging of Distribution Transformers According to IEEE and IEC Standards." In 2007 IEEE Power Engineering Society General Meeting. IEEE, 2007. http://dx.doi.org/10.1109/pes.2007.385642.

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Watkins, Kenneth S. "Electrical Insulation System Degradation Sensors: Improving Reliability of Power Generation and Distribution." In 16th International Conference on Nuclear Engineering. ASMEDC, 2008. http://dx.doi.org/10.1115/icone16-48130.

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As insulation systems of power system components such as electrical motors, generators and transformers degrade, they become brittle, crack and, eventually, fail to perform their intended function. Failure of the insulation system of these components often leads to costly power interruptions that could be prevented if the actual condition of the insulation system is known. The degradation mechanisms of modern insulation systems are highly dependent on the actual environmental and operational conditions of the component. Current methods to measure insulation system condition are often complex,
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Attestog, Sveinung, and Huynh Van Khang. "Electromagnetic and Thermal Modelling for Calculating Ageing Rate of Distribution Transformers." In 2018 21st International Conference on Electrical Machines and Systems (ICEMS). IEEE, 2018. http://dx.doi.org/10.23919/icems.2018.8549517.

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Hu, Zhi-feng, Kai-bo Ma, Wei Wang, et al. "Thermal aging properties of transformer oil-based TiO2 nanofluids." In 2014 IEEE 18th International Conference on Dielectric Liquids (ICDL). IEEE, 2014. http://dx.doi.org/10.1109/icdl.2014.6893103.

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Jafari, Fereshteh Sadat, Fatemeh Kazemi, and Javad Ahmadi Shokouh. "Non-destructive aging of transformer oil using electromagnetic waves." In 2015 20th Conference on Electrical Power Distribution Networks Conference (EPDC). IEEE, 2015. http://dx.doi.org/10.1109/epdc.2015.7330509.

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Khudonogov, I. A., E. Yu Puzina, and A. G. Tuigunova. "Modeling Turn Insulation Thermal Aging Process for Traction Substation Transformer." In 2020 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM). IEEE, 2020. http://dx.doi.org/10.1109/icieam48468.2020.9112021.

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Zhuravleva, Natalia, Alexandr Reznik, and Dmitry Kiesewetter. "Study of thermal aging of mixture of transformer insulating liquids." In 2016 ELEKTRO. IEEE, 2016. http://dx.doi.org/10.1109/elektro.2016.7512159.

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Guerbas, F., L. Adjaout, A. Abada, and D. Rahal. "New and Reclamation Transformer Oil Behavior under Accelerated Thermal Aging." In 2018 IEEE International Conference on High Voltage Engineering and Application (ICHVE). IEEE, 2018. http://dx.doi.org/10.1109/ichve.2018.8642062.

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Bagheri, M., A. Subramaniam, S. Bhandari, S. Chandar, and S. K. Panda. "Residential lighting influence on cast-resin distribution transformer aging rate." In 2015 IEEE International Conference on Building Efficiency and Sustainable Technologies (ICBEST). IEEE, 2015. http://dx.doi.org/10.1109/icbest.2015.7435863.

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