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Identification of a best thermal formula and model for oil and winding
Mälardalen University, School of Sustainable Development of Society and Technology. (Process Efficiency Improvement+Energy Management & Load Control)
(Process Efficiency Improvement+Energy Management & Load Control)
2007 (English)Conference paper, Published paper (Refereed)
Abstract [en]

System identification is about building models from data. A data set is characterized by several pieces of information: The input and output signals, the sampling interval, the variable names and units, etc.Similarly, the estimated models contain information of different kinds, estimated parameters, their covariance matrices, and model structure and so on. In this paper we collected Temperature of oil and winding in 230/63kv transformer of SARI Substation and considered the winding temperature for input in the model and oil temperature for out put. After that calculated their data by MATLAB software and get a new model with the good best fit for the heat transfer from core and winding to oil. For verification of were calculated results, has been simulated the process in COMSOL Software.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press , 2007. p. 183-188
Series
Linköping Electronic Conference Proceedings, ISSN 1650-3686
Keywords [en]
best fit, simulation, identification, error, model
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-1247OAI: oai:DiVA.org:mdh-1247DiVA, id: diva2:37710
Conference
The 48th Scandinavian Conference on Simulation and Modeling (SIMS 2007); 30-31 October; 2007; Göteborg (Särö)
Available from: 2008-10-10 Created: 2008-10-10 Last updated: 2016-01-18Bibliographically approved
In thesis
1. Temperature and heat losses simulation in core and winding of a power transformer
Open this publication in new window or tab >>Temperature and heat losses simulation in core and winding of a power transformer
2008 (English)Licentiate thesis, comprehensive summary (Other scientific)
Abstract [sv]

Simulering av temperatur och värmeförluster i kärna och lindning för en högspänningstransformator

“... Ett ljus som lyser dubbelt så starkt, varar hälften så länge …”, i analogi med ljuset så kan transformatorer köras med överlast inom vissa gränser, men med följden att livslängden blir kortare.

 

Transformatorn är vital del i en kraftindustri; transformatorn står för en betydande del av investeringen i en kraftanläggning. Tekniska livslängden för en transformator är cirka 30 år, men överlast kan förkorta livslängden. Överlast orsakar heta punkter i transformatorlindningen och kärnan och leder till nedbrytning av isoleringsförmåga samt orsakar förkortad livslängd och kylproblem. Det finns ett ökande intresse i att nyttja hela transformatorns kapacitet och samtidigt hålla sig inom säkra gränser. För att konstruera en transformator behövs kunskap om dynamik under varierande last, temperaturer i heta punkter, temperaturer i lindningen och förluster. Data kan erhållas genom att mäta på transformatorer, ställa upp och använda analytiska uttryck och utföra datorsimuleringar. Att bygga simuleringsmodell före fysisk prototyp har fördelen att man enkelt kan prova konsekvenserna av ändringar i transformatorns parametrar innan man bygger prototypen.

 

Under driften av transformatorn är temperaturen i den heta punkten den kritiska parametern. Temperaturen i heta punkten får inte överskrida en viss temperatur. Den sammanlagda effekten av åldring av isolering på grund av temperaturen i heta punkten bör också ligga lägre än ett förutbestämt värde.

Nya metoder behövs för detektion, övervakning och eliminering av heta punkter. I avhandlingen föreslås en ny apparatur och system för eliminering av heta punkter. Oljesprutningens effekt på transformatoroljan och oljecirkuleringen har utvärderats, simulerats och beräknats. Baserat på data och mätningar från en transformatorstation 230/63/20 kV i Sari i Iran har det utförts beräkningar och simuleringar. Resultaten visar att elektrisk nyttig energi kan ökas genom att minska begränsningarna i last på grund av problem med heta punkter i transformatorer. System för sprutning av olja är undersökta och modifierade för lokal kylning. En robust algoritm har föreslagits, utvecklats och optimerats för ökad noggrannhet i kylningen. Ett viktigt resultat är möjligheten att simulera temperaturer, speciellt heta punkter och förluster i magnetiska kärnan och lindningarna.

Abstract [en]

“…A candle that burns twice as bright lasts half as long …” So too transformers can run at over rated loadings within limits, consequently shortening their expected service life.

 

Power transformers are vital devices in power industries. Electrical utilities have to pay a significant portion of capital investment costs for Power transformers. Although the useful service life of transformer is around of 30 years, but some times utility needs to achieve over loading of transformers. It can decrease transformer expected life. Over loading and other problems make a hottest spot point in windings and core and as a result, these lead to insulation degradations, loss of life and cooling problems. There fore, here is an increased interest in safely utilizing all available capacity.

In order to design a power transformer it is essential to understand its performance in loading times, same as hottest spot temperature, temperature profile in windings and losses. Exactly these can be obtained by measurements on physical transformers, analytical expressions and computer simulations. One important benefit on using of simulations before prototype is that the transformer can be modelled and simulated before it is built physically and that the consequences of varying dimensions and parameters easily can be tested.

 

During the operation of power transformers, the critical parameter is the hottest temperature. The hot spot temperature (HST) has to be held under a prescribed limit. A cumulative effect of insulation aging, depending on time change of hot spot temperature, should be less than a planed value.

Therefore, essentially utilities need to find a new method for hot spot detecting, monitoring and removing. In this thesis, I have suggested a new apparatus and system for hot spot point removing. The effects of oil spraying has been assessed, simulated and calculated. Using test data of 230/63/20kV Sari substation, simulation and calculation (using this device) have been performed; consequently it has been shown that electrical utility can mitigate the limitations of loading due to HST problem in transformers. Oil spraying system are investigated and modified to apply for local cooling. A robust algorithm have been proposed and trained for working out this task and are further optimally combined to give an improved accuracy.

One important result of the thesis is the possibility to simulate temperature including the hot spot temperature and losses in the magnetic core material and windings.

 

Place, publisher, year, edition, pages
Västerås: Mälardalen University, 2008
Series
Mälardalen University Press Licentiate Theses, ISSN 1651-9256 ; 86
Keywords
Electric Power Transformer, Losses, Simulation, Temperature, Calculation
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electronics
Identifiers
urn:nbn:se:mdh:diva-1503 (URN)978-91-85485-83-3 (ISBN)
Presentation
Lambda, MDH, Västerås, Sweden (English)
Opponent
Supervisors
Projects
Electric Power Transformer
Available from: 2008-10-27 Created: 2008-10-24 Last updated: 2010-06-04Bibliographically approved

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http://www.ep.liu.se/ecp/027/022/ecp072722.pdf

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