Relevant bibliographies by topics / Oil Immersed Transformers

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Oil Immersed Transformers'

Author: Grafiati
Published: 23 June 2021
Last updated: 13 February 2022

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Journal articles on the topic "Oil Immersed Transformers"

1

Lakehal, Abdelaziz, and Fouad Tachi. "Bayesian Duval Triangle Method for Fault Prediction and Assessment of Oil Immersed Transformers." Measurement and Control 50, no. 4 (May 2017): 103–9. http://dx.doi.org/10.1177/0020294017707461.

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Dissolved gas analysis of transformer insulating oil is considered the best indicator of a transformer’s overall condition and is most widely used. In this study, a Bayesian network was developed to predict failures of electrical transformers. The Duval triangle method was used to develop the Bayesian model. The proposed prediction model represents a transformer fault prediction, possible faulty behaviors produced by this transformer (symptoms), along with results of possible dissolved gas analysis. The model essentially captures how possible faults of a transformer can manifest themselves by symptoms (gas proportions). Using our model, it is possible to produce a list of the most likely faults and a list of the most informative gas analysis. Also, the proposed approach helps to eliminate the uncertainty that could exist, regarding the fault nature due to gases trapped in the transformer, or faults that result in more simultaneous gas percentages. The model accurately provides transformer fault diagnosis and prediction ability by calculating the probability of released gases. Furthermore, it predicts failures based on their relationships in the Bayesian network. Finally, we show how the approach works for five distinct electrical transformers of a power plant, by describing the advantages of having available a Bayesian network model based on the Duval triangle method for the fault prediction tasks.
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Yuchao, Ma, Mo Juan, Yu Jinshan, Li Xiang, and Zheng Zhongyuan. "Study on Sound Field Distribution Rule for Tank Structures of Large Oil-immersed Transformers." E3S Web of Conferences 233 (2021): 01021. http://dx.doi.org/10.1051/e3sconf/202123301021.

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Large oil-immersed transformers are an important part of the transmission and distribution network in power systems. Power transformers are the main noise source of substations. Because of the uneven manufacturing process, aging equipment, long-term operation, and close distance from sensitive points, the problem of transformer noise pollution has become increasingly prominent. In this paper, the transmission and analysis model is established for transformer sound waves on the interface between insulating oil and tank body according to the sound wave propagation rule in complicated medium, and the simplified acoustic simulation model is constructed for large oil-immersed transformers by simulating the vibration noise of transformer core with monopole sound source, with which, the sound field distribution rule inside and outside the transformer tank structure is obtained, and finally, the influence factors for noise distribution are given. The results of the study provide control basis for reducing transformer noise.
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Li, Li, Dianhai Zhang, Zhi Wang, Yanli Zhang, Xiaopeng Fan, and Yongyan Zhou. "Novel field-circuit assisted FEA of 110 kV power transformer for noise control and vibration reduction." International Journal of Applied Electromagnetics and Mechanics 64, no. 1-4 (December 10, 2020): 289–98. http://dx.doi.org/10.3233/jae-209333.

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The vibration and noise are serious problems for large oil-immersed power transformers, which directly affect the performance and stability of transformers. The no-load current, as the excitation source, is very important for accurate calculation of vibration and noise. This paper provides a novel approach based on the new field-circuit coupling model to calculate no-load current of large power transformers. For one 110 kV large oil-immersed power transformer, the multi-physics coupling problem including magnetic field, structural force field and acoustic field under alternating magnetic field is analyzed. Following the multi-physics coupling calculation, distributions of vibration and noise are obtained. To validate feasibility and applicability of the proposed method, the actual vibration and noise of transformer are measured experimentally. Finally, the simulation results are compared with experimental ones, which show better goodness of fit.
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KROPOTIN, V. O., S. S. GIRSHIN, V. N. GORYUNOV, E. V. PETROVA, V. M. TROTSENKO, and A. O. SHEPELEV. "SIMULATION OF STATIONARY THERMAL REGIME OF OIL TRANSFORMER USING ANSYS." Actual Issues Of Energy 3, no. 1 (2021): 037–42. http://dx.doi.org/10.25206/2686-6935-2021-3-1-37-42.

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With the expansion of the electric power system, the number of distribution plants increases, the most common in which are oil-immersed transformers. the increase in the number of transformers leads to an increase in energy losses, which depend on many factors, including the temperature of the windings. at the same time, temperature is one of the most important parameters that determine the service life of a transformer. the paper discusses a digital model of the thermal regime of an oil-immersed transformer with natural cooling based on the ansys software, focused both on the tasks of calculating energy losses and on assessing the load capacity. the simulation results are compared with the heating rates. the use of thermal regime models when calculating power losses can significantly increase the accuracy of calculations.
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Mizutani, Yoshinobu. "Deterioration Diagnosis for Oil-immersed Transformers." IEEJ Transactions on Power and Energy 136, no. 4 (2016): 351–54. http://dx.doi.org/10.1541/ieejpes.136.351.

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Mharakurwa, Edwell Tafara, and Rutendo Goboza. "Multiparameter-Based Fuzzy Logic Health Index Assessment for Oil-Immersed Power Transformers." Advances in Fuzzy Systems 2019 (December 13, 2019): 1–12. http://dx.doi.org/10.1155/2019/2647157.

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The health index scheme can be the most fundamental tool that unifies all transformer condition status information into a singular outcome, thereby enhancing the power transformer asset management and life longevity strategies. This study aims at establishing a multiple parameter-dependent transformer health index estimation model cascaded with a fuzzy logic inference system. This strategy is centered on the effect of dynamic loading regime, varying hotspot temperatures and multiple attesting results of the insulation system. Furthermore, a nonintrusive degree of polymerization (DP) model based on furans and carbon oxide ratios as DP pointers is also factored in developing the health index model. The general outcome of the health index depends on entirely considered elements, but not on any isolated attribute. Data obtained from in-service transformers were used to validate the proposed model. The outcome of the model mirrors the practical condition of the evaluated transformers. Therefore, the proposed health index model can be a vital tool to asset managers and power utilities.
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Zhang, Yiyi, Jiaxi Li, Xianhao Fan, Jiefeng Liu, and Heng Zhang. "Moisture Prediction of Transformer Oil-Immersed Polymer Insulation by Applying a Support Vector Machine Combined with a Genetic Algorithm." Polymers 12, no. 7 (July 16, 2020): 1579. http://dx.doi.org/10.3390/polym12071579.

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The support vector machine (SVM) combined with the genetic algorithm (GA) has been utilized for the fault diagnosis of transformers since its high accuracy. In addition to the fault diagnosis, the condition assessment of transformer oil-immersed insulation conveys the crucial engineering significance as well. However, the approaches for getting GA-SVM used to the moisture prediction of oil-immersed insulation have been rarely reported. In view of this issue, this paper pioneers the application of GA-SVM and frequency domain spectroscopy (FDS) to realize the moisture prediction of transformer oil-immersed insulation. In the present work, a method of constructing a GA-SVM multi-classifier for moisture diagnosis based on the fitting analysis model is firstly reported. Then, the feasibility and reliability of the reported method are proved by employing the laboratory and field test experiments. The experimental results indicate that the reported prediction model might be serviced as a potential tool for the moisture prediction of transformer oil-immersed polymer insulation.
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Liu, Wei Jia, Xin Wang, Yi Hui Zheng, Li Xue Li, and Qing Shan Xu. "The Assessment of the Overload Capacity of Transformer Based on the Temperature Reverse Extrapolation Method." Advanced Materials Research 860-863 (December 2013): 2153–56. http://dx.doi.org/10.4028/www.scientific.net/amr.860-863.2153.

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The assessment of the overload capacity of transformer has a certain practical significance. In this paper, a temperature reverse extrapolation method is proposed to assess the overload capacity of transformer. Firstly, the top oil temperature is monitored by the online monitoring system. Secondly, the temperature distribution model and the calculation methods of hot spot temperature in the PTP7 (Power Transformers. Part 7: Loading guide for oil-immersed power transformers) guide are analyzed. Then, a new method called temperature reverse extrapolation which can calculate the overload factor of transformer is composed. And based on the overload factor, two meaningful data about overload capacity are obtained. Finally, an assessment system of transformer overload capacity based on the online monitoring is developed.
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Mehrabadi, Ahmad Karimi, Asaad Shemshadi, and Hossein Shateri. "An Alternative Approach for Oil-immersed High Voltage Power Transformer Dissolved Gas Analysis Diagnostic Techniques." ELEKTRIKA- Journal of Electrical Engineering 18, no. 2 (August 31, 2019): 1–7. http://dx.doi.org/10.11113/elektrika.v18n2.123.

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This article presents alternative analyzing method of extracted dissolved gases related to insulating oil of power transformers. Analysis of soluble and free gas is one of the most commonly used troubleshooting methods for detecting and evaluating equipment damage. Although the analysis of oil-soluble gases is often complex, it should be expertly processed during maintenance operation. The destruction of the transformer oil will produce some hydrocarbon type gases. The development of this index is based on two examples of traditional evaluation algorithms along with fuzzy logic inference engine. Through simulation process, the results of the initial fractures in the transformer are obtained in two ways by the "Duval Triangle method” and "Rogers’s ratios". In continue, three digit codes containing the fault information are created based on the fuzzy logic inference engine to achieve better results and eliminate ambiguous zones in commonly used methods, especially in the “Duval Triangle method”. The proposed method is applied to 80 real transformers to diagnose the fault by analyzing the dissolved oil based on fuzzy logic. The results illustrate the proficiency of this alternative proposed algorithm. Finally, with utilization of a neural network the alternative practical inference function is derived to make the algorithm more usable in the online condition monitoring of power transformers.
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Li, Guang Hua, Hong Lei Liu, and De Jian Wang. "Heat Transfer Model and Analysis of Oil-Immersed Electrical Transformers with Heat Pipe Radiator." Advanced Materials Research 516-517 (May 2012): 312–15. http://dx.doi.org/10.4028/www.scientific.net/amr.516-517.312.

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This paper has formulated a heat transfer model for analyzing the cooling properties of a heat pipe cooling device of oil-immersed electrical transformer. Based on the model, the oil temperature field of a 30 KVA oil-immersed transformer has been numerical simulated, and experiments also had been conducted. Results showed that the numerical simulation has good agreement with experiment results. Results also showed that heat pipe radiator is feasible for oil-immersed electrical transformer cooling. The model can be used to analyze the oil temperature distribution properties in an oil-immersed electrical transformer with heat pipe cooling device, and provide theoretical guide for transformer design and improvement.
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Dissertations / Theses on the topic "Oil Immersed Transformers"

1

Robalino, Vanegas Diego M. "Loss of life of medium voltage oil-immersed current transformers under thermal accelerated ageing a dissertation presented to the faculty of the Graduate School, Tennessee Technological University /." Click to access online, 2009. http://proquest.umi.com/pqdweb?index=0&did=1934058311&SrchMode=1&sid=2&Fmt=6&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1264684717&clientId=28564.

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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 steps over a year with provided load profile based on utility data and typical meteorological year weather data from SMHI and STRÅNG. In this study, three different scenarios have been put into consideration to study the change of LOL. The first scenario applies various levels of PV penetrations without energy storage, while, the other scenarios include energy storage under different operating strategies, self-consumption, and peak shaving. Similarly, different battery capacities have been applied for the purpose of studying the LOL change. Thus, under different PV penetrations and battery capacities, results included the variation of LOL, grid power, battery energy status, and battery power. Moreover, results concluded that the PV system has the maximum impact on LOL variation, as it could decrease it by 33.4 %, and this percentage could increase by applying different battery capacities to the system. Finally, LOL corresponding to the battery under peak shaving strategy varies according to the battery discharge target. As different peak shaving targets were used to control the battery discharge, and hence, study the impact on the transformer and estimate its LOL.
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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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4

Lin, Ying-Fu, and 林盈甫. "Study of Heat Dissipation on Oil-Immersed Power Transformers." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/93710812640798548840.

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碩士
中原大學
機械工程研究所
98
The main purpose of this research is to study the thermal dissipation by natural convection of oil-immersed transformer with flow channels. The 167kVA oil-immersed power transformer is installed inside the utility box. The only way to cool it down. Therefore, the flow channel is very important for thermal dissipation of transformer. Hence, this study from the thermal dissipation in different flow channels in order to understand the temperature distribution in the transformer. This article uses CFDRC to simulate the velocity field as well as the temperature field in different flow channel types. The numerical experiment herein is proceeded by taking flow channels of 2mm~5mm width, flow channels 3, 4, 5 pcs, heights of coils 300mm, 400mm, 500mm, and the external layer of the low voltage coil windings with different materials. The main discussion will be on temperatures of high and low voltage oil-immersed transformer and velocity of flow channel. Result shows increase of the width of flow channels and Increase of flow channels provides more cooling channels, and accelerate oil cycling. Heights of coils influence velocity of oil flow. However, materials change on the external layer of the low voltage coil windings does not make significant differences on thermal dissipation.
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Shu, Bor-Wen, and 許博聞. "Study of Temperature Rise on Oil-Immersed Power Transformers." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/32126061712116725621.

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碩士
中原大學
機械工程研究所
92
Abstract The flow field inside the tank of a transformer has a major impact on the performance of the transformer. As a result, it is essential for the design of the device to have an in-depth understanding of the flow field. Transformer is an effective electrical device for the connection of tow power systems and a major power source for the industry. In this study, the computational fluid dynamics (CFD) software Icepak, developed by the Fluent Company, was used to evaluate the thermal management of the various electronic devices. Icepak was based on the finite volume algorithm for the numerical simulation, with the capabilities for determining the transient, 2-D, and 3-D flow fields. It has a number of turbulence models with powerful, multi-grid and parallel numerical processing. In addition, it provides the unstructured grid generation capability to handle the complicated geometrical modeling. Furthermore, it has the easy-to-use modules for the users to choose. This study investigated the temperature and flow fields of an oil-cooled power transformer with internally natural convection as the cooling means. The study used theoretical calculations and the numerical simulations; their respective results were compared with the experimental results. The purpose for this study was to evaluate the adequacy of the methodology and procedure by using the Icepak software package to determine the thermal management of a power transformer. The results obtained from the Icepak calculations indicated that the peak temperatures obtained for the core and the winding of transformer were in reasonable agreement with those obtained from the experimental results. In addition, the location for the peak temperature obtained from the Icepak calculations could be used for pinpointing the location of the temperature sensing devices. Furthermore, in-depth study of the arrangement of the cooling device used for the power transformer could predict valuable information of the temperature rise for the configuration under the tests. This could cut down the time and cost required for the development of the new product for the transformer. The methodology and procedure established by this study can certainly be extended to determine the temperature and flow fields for a number of other power transformers different from the one studied in this thesis.
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Tsai, Ching-Chou, and 蔡青舟. "Partial Discharge Detection Technique for Oil-Immersed Transformers Diagnosis." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/16022588878998043260.

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碩士
崑山科技大學
電機工程研究所
103
With the electrical equipment insulation deterioration, during the breakdown period, the small-scale partial discharge will occur and leads to gradual decreasing of electricity insulation performance. With the increase of the applied voltage and duration, the frequency of occurrence of partial discharge intensity will increase, followed by arcing, result in outages of power system which is often the main cause of the failure. If the discharge phenomenon of intensity, position, patterns can be effectively monitoring, the loss of electrical equipment can be prevented. The partial discharge detecting technique is widely used for testing molded-type equipment. In this thesis the partial discharge detecting technique is used to diagnosing oil-immersed transformer is proposed.
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Wu, Sung-Chi, and 吳松錡. "Study of Partial Discharge on Oil-Immersed Power Transformers." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/95312056279254448971.

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碩士
健行科技大學
電機工程系碩士班
104
Partial Discharge phenomenon is a superior factor to influence quality of transformer, improvement of partial discharge frequency and location will be major solution to increment transformer life time and quality. Transformer is a kind of power connection system which link different power level to each in industrial environment today. This research focus on Partial Discharge evaluation by new facility SPDA to observe phenomenon. We loaded relative data in mating software to simulate reality internal working situation then find electric discharge position out soon, moreover, reduce experiment cost and maintenance time when operation. In addition, raw data will be storage, classification and analysis, not only for research data fundamental but also evaluation informal discharge in the future.
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Chiu, Chen-Yi, and 邱正義. "Design of Full Range Current Limit Fuse for Oil Immersed Distribution Transformers." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/19380120564970797001.

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碩士
國立臺灣科技大學
電機工程系
95
Electric power fuses have been used for protecting equipments in electric power system for over hundred years. Although other new protecting equipments have been provided with much more complex functions, power fuses are still very important equipments in electric power system. The simple construction, high reliability and fastest current cutout properties make it be used widely of the world. Traditional power fuses are sufficiently used for breaking high current, such as fault current, but insensitvely for low overload current (i.e. less than five times the rate value). Full range current limit fuses are designed for both high breaking zone and low overload breaking zone protections. The study for full range current limit fuse was beginning from rating requirements of fuse characteristics, electrical arcing and circuit modeling, then calculating and designing constructions and sizes of fuse element were investigated. The protocol samples were made and tested to check design performances including dielectric, interrupting, temperature rise, time-current, liquid tightness. This study provides the technical design theory above of full range current limit fuses for oil immersed distribution transformer. Three type fuses made according to this study, were tested according to IEEE Std C37.41-2000, which could be used in oil immersed transformer for external power distribution system.
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Tsai, Cheng-Yu, and 蔡承佑. "Fault Diagnosis of Oil-Immersed Power Transformers by Using Back-Propagation Neural Networks." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/a35j63.

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碩士
國立彰化師範大學
電機工程學系
106
The large power transformer is one of the most important and expensive equipment in the power system. The operating situation of transformer will directly affect the safety of the power system, and the fault of the transformer may cause the power interruption and the profit loss. Therefore, early detection of the initial fault of transformers, reduction and prevention of the fault can improve the reliability of power system.In this paper, we use the dissolved gas in transformer oil for fault diagnosis. The data of dissolved gas will provide an indirect basis for the internal hidden trouble of transformers. Dissolved Gas Analysis (DGA) is the most popular and effective method for diagnosing transformer’s initial failure; however, due to the variability of gas data and operation, it is not easy to identify the characteristic of transformer’s fault by traditional methods. Therefore, in this paper, we used the algorithm of BP (Back-Propagation BP) neural network to train and test to improve the efficiency and accuracy of system diagnosis. The experimental results show that, using BP neural network to identify the transformer fault can improve the accuracy of about 40% than the traditional IEC ratio method, which can not only make up the error of traditional IEC ratio method, but also prove the reliability of this method in the initial fault detection of the transformer.
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HSU, CHIA-TAI, and 許嘉玳. "Applying Finite Element Analysis for Electromagnetic and Heat Thermal of Oil-immersed Pole Transformers." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/p7859h.

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碩士
國立臺北科技大學
電機工程系
107
This paper will be analyzed using the Finite Element Method to the pole 25 kVA oil-immersed transformer, and the type of sealed type have improved such as transformer, silicon steel and amorphous Alternatively other materials for the two types of cores are made, by COMSOL simulation analysis software Construction architecture Electromagnetic and Heat Thermal other transformer core and the outer electromagnetic intensity produced by the bucket analysis, and environmental impact study the changes in the hysteresis curve in the iron loss, while an analog loss to iron loss and copper temperature state of the transformer Heat Thermal. Simulation of an electromagnetic and heat transfer analysis for the four types of transformers, after obtaining the maximum magnetic field strength in the electromagnetic simulation core, respectively, extend two types of simulated state and the tub around them analog modulation rated current of the magnetic field strength and the like, according to our substation around 1 meter field strength specifications, the four transformer tub are in compliant analog around them; magnetic core material density different impact when the rated current is adjusted to change, and thus a difference in hysteresis curve. Using COMSOL simulation software to obtain steady-state heat energy core and coil temperature and analyzed four styles in core and coil, confirming the results of Taipower than worth test report adopted.
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Books on the topic "Oil Immersed Transformers"

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N, Mathur G., Chadha R. S, and India. Central Board of Irrigation and Power., eds. Manual on transformers (oil immersed). New Delhi: Central Board of Irrigation & Power, 2007.

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2

IEEE Std C57.91-1995: IEEE Guide for Loading Mineral-Oil Immersed Transformers. Inst of Elect & Electronic, 1996.

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IEEE guide for the interpretation of gases generated in oil-immersed transformers. New York: Institute of Electrical and Electronics Engineers, 1992.

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Trial Use Standard General Requirements and Test Code for Oil Immersed Hvdc Converter Transformers. IEEE Standards Office, 2000.

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IEEE trial-use standard general requirements and test code for oil-immersed HVDC converter transformers. New York, N.Y., USA: Institute of Electrical and Electronics Engineers, 2000.

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IEEE Power Engineering Society. Transformers Committee. and IEEE Standards Board, eds. IEEE guide for loading mineral-oil-immersed power transformers rated in excess of 100 MVA (65⁰ C winding rise). New York, N.Y: Institute of Electrical and Electronics Engineers, 1991.

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Trial-Use General Requirements and Test Code for Dry-Type and Oil-Immersed Smoothing Reactors for DC Power Transmission. IEEE Standards Office, 2000.

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Trial Use Standard General Requirements and Test Code for Oil Immersed Hvdc Converter Transformers. IEEE Standards Office, 2000.

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IEEE Power Engineering Society. Transformers Committee., Institute of Electrical and Electronics Engineers., and IEEE-SA Standards Board, eds. IEEE trial-use standard general requirements and test code for dry-type and oil-immersed smoothing reactors for DC power transmission. New York, N.Y., USA: Institute of Electrical and Electronics Engineers, 2000.

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Institute of Electrical and Electronics Engineers., IEEE Power Engineering Society. Transformers Committee., IEEE Standards Association, and IEEE Standards Board, eds. IEEE trial-use guide for the detection of acoustic emissions from partial discharges in oil-immersed power transformers. New York: Institute of Electrical and Electronics Engineers, 2000.

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Book chapters on the topic "Oil Immersed Transformers"

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Cirujano, Pablo, and Enrique Otegui. "Eco-design in Oil Immersed Transformers." In Lecture Notes in Electrical Engineering, 87–96. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58172-9_10.

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Bashirov, M. G., A. S. Khismatullin, and E. V. Sirotina. "Cooling System Oil-Immersed Transformers with the Use of a Circulating Sulfur Hexafluoride." In Lecture Notes in Electrical Engineering, 613–21. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39225-3_67.

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Liu, Ying, Xiang-jun Wang, and Xin-yi Jiang. "Study on Estimation Method of Oil-Immersed Transformer Insulation." In Advances in Intelligent Systems and Computing, 68–74. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65978-7_11.

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Li, Youwen, Demei Bao, Cun Luo, Lijun Huang, and Liming Cao. "An Intelligent Fault Diagnosis Method for Oil-Immersed Power Transformer Based on Adaptive Genetic Algorithm." In Lecture Notes in Electrical Engineering, 155–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25553-3_21.

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Yue, G., Y. Wang, H. Cui, and H. Liu. "Research of hot-spot temperature of oil-immersed transformer under different load." In Computer, Intelligent Computing and Education Technology, 961–64. CRC Press, 2014. http://dx.doi.org/10.1201/b16698-208.

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"Research of hot-spot temperature of oil-immersed transformer under different load." In Computer, Intelligent Computing and Education Technology, 256–59. CRC Press, 2014. http://dx.doi.org/10.1201/9781315760810-53.

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Conference papers on the topic "Oil Immersed Transformers"

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Amarasinghe, R. P. W. S., W. G. K. P. Kumara, R. A. K. G. Rajapaksha, R. A. D. K. Rupasinghe, and W. D. A. S. Wijayapala. "A transformer design optimisation tool for oil immersed distribution transformers." In 2015 Moratuwa Engineering Research Conference (MERCon). IEEE, 2015. http://dx.doi.org/10.1109/mercon.2015.7112328.

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J., Zhang. "Catastrophic Failure Prognosis of Oil-Immersed High Voltage Transformers." In Sixth International Seminar on Fire and Explosion Hazards. Singapore: Research Publishing Services, 2011. http://dx.doi.org/10.3850/978-981-08-7724-8_13-04.

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Kim, Younghun, Aanchal Goyal, and Tarun Kumar. "Predictive modeling of dissolved gas concentrationin oil-immersed substation transformers." In 2016 IEEE Smart Energy Grid Engineering (SEGE). IEEE, 2016. http://dx.doi.org/10.1109/sege.2016.7589536.

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Li, Jian, Taosha Jiang, and Stanislaw Grzybowski. "Hot spot temperature models based on top-oil temperature for oil immersed transformers." In 2009 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP). IEEE, 2009. http://dx.doi.org/10.1109/ceidp.2009.5377876.

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Yang, Jiangwei, Wenge Lu, and Xuan Liu. "Prediction of Top Oil Temperature for Oil-immersed Transformers Based on PSO-LSTM." In 2021 4th International Conference on Energy, Electrical and Power Engineering (CEEPE). IEEE, 2021. http://dx.doi.org/10.1109/ceepe51765.2021.9475664.

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Sameh, Walid, Ahmed H. Gad, and Soliman M. Eldebeikey. "An Intelligent Classifier of Electrical Discharges in Oil Immersed Power Transformers." In 2019 21st International Middle East Power Systems Conference (MEPCON). IEEE, 2019. http://dx.doi.org/10.1109/mepcon47431.2019.9007998.

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Yi Jiang, Shuang Liu, Li Xiao, and Wei Li. "Fiber Bragg grating sensors for temperature monitoring in oil-immersed transformers." In 2016 15th International Conference on Optical Communications and Networks (ICOCN). IEEE, 2016. http://dx.doi.org/10.1109/icocn.2016.7875604.

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Dmitrieva, O. S., G. R. Patrakova, and A. V. Dmitriev. "Evaluation of the cooling system calculation technique for oil-immersed transformers." In 2017 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM). IEEE, 2017. http://dx.doi.org/10.1109/icieam.2017.8076305.

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Boonsaner, Nutthaphan, Phop Chancharoensook, Chisanucha Bunnag, Achirawit Suwantaweesuk, and Kiattisak Vongphanich. "The Study and Analysis of Oil-immersed Power Transformer by Using Artificial Neural Network for Designing Program Apply in the Industry of Testing Oil-immersed Transformers." In 2020 8th International Conference on Condition Monitoring and Diagnosis (CMD). IEEE, 2020. http://dx.doi.org/10.1109/cmd48350.2020.9287230.

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Zhang, Yu, Yu Cao, Di He, Chuangxin Guo, Xiuming Du, and Demeng Bai. "A two-stage overload strategy of oil-immersed transformers considering operation risk." In 2017 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2017. http://dx.doi.org/10.1109/pesgm.2017.8274403.

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