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Prague, 8-11 June 2009 X.T. Dong, R. Summer, and U. Kaltenborn - Germany RIF Session1 Paper 0637 Thermal Network Analysis in MV GIS Design Areva Energietechnik GmbH – Sachsenwerk Medium Voltage, Germany
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Thermal Network Analysis in MV GIS Design · Prague, 8-11 June 2009 X.T. Dong, R. Summer, and U. Kaltenborn - Germany RIF Session1 Paper 0637 Thermal Network Analysis in MV GIS Design

Jun 19, 2020

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Page 1: Thermal Network Analysis in MV GIS Design · Prague, 8-11 June 2009 X.T. Dong, R. Summer, and U. Kaltenborn - Germany RIF Session1 Paper 0637 Thermal Network Analysis in MV GIS Design

Prague, 8-11 June 2009

X.T. Dong, R. Summer, and U. Kaltenborn - Germany RIF Session1 Paper 0637

Thermal Network Analysisin MV GIS Design

Areva Energietechnik GmbH – Sachsenwerk Medium Voltage, Germany

Page 2: Thermal Network Analysis in MV GIS Design · Prague, 8-11 June 2009 X.T. Dong, R. Summer, and U. Kaltenborn - Germany RIF Session1 Paper 0637 Thermal Network Analysis in MV GIS Design

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IntroductionThermal network method

Simulation procedure

Results & summary

Page 3: Thermal Network Analysis in MV GIS Design · Prague, 8-11 June 2009 X.T. Dong, R. Summer, and U. Kaltenborn - Germany RIF Session1 Paper 0637 Thermal Network Analysis in MV GIS Design

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Thermal network methodAnalogy between electrical and thermal field

Potential differenceTemperature differenceCurrent flowHeat flowElectrical resistanceThermal resistanceElectrical capacitanceThermal capacitance

thRPT ⋅=Δ RIU ⋅=Δ

Page 4: Thermal Network Analysis in MV GIS Design · Prague, 8-11 June 2009 X.T. Dong, R. Summer, and U. Kaltenborn - Germany RIF Session1 Paper 0637 Thermal Network Analysis in MV GIS Design

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Thermal network methodPSPICE

User interface (Input & output)

Translator & solver

Theta librarySymbol with physics model to describe thermal sources & resistance/ capacitances

Page 5: Thermal Network Analysis in MV GIS Design · Prague, 8-11 June 2009 X.T. Dong, R. Summer, and U. Kaltenborn - Germany RIF Session1 Paper 0637 Thermal Network Analysis in MV GIS Design

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ExampleTwo conductors with screw joint

Page 6: Thermal Network Analysis in MV GIS Design · Prague, 8-11 June 2009 X.T. Dong, R. Summer, and U. Kaltenborn - Germany RIF Session1 Paper 0637 Thermal Network Analysis in MV GIS Design

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User library Bushing part

Example

Page 7: Thermal Network Analysis in MV GIS Design · Prague, 8-11 June 2009 X.T. Dong, R. Summer, and U. Kaltenborn - Germany RIF Session1 Paper 0637 Thermal Network Analysis in MV GIS Design

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Simulation procedureModel creation

Single phase, multi-units representation

Model verification

Result prediction

Design optimization

Page 8: Thermal Network Analysis in MV GIS Design · Prague, 8-11 June 2009 X.T. Dong, R. Summer, and U. Kaltenborn - Germany RIF Session1 Paper 0637 Thermal Network Analysis in MV GIS Design

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Simulation model for a type test

Page 9: Thermal Network Analysis in MV GIS Design · Prague, 8-11 June 2009 X.T. Dong, R. Summer, and U. Kaltenborn - Germany RIF Session1 Paper 0637 Thermal Network Analysis in MV GIS Design

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Model verification

GHA 2500A double busbar feeder -- busbar top

01 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

Measurement points

Tem

pera

ture

rise

MeasuredMeasured GasSimulationSimulation_Gas

Page 10: Thermal Network Analysis in MV GIS Design · Prague, 8-11 June 2009 X.T. Dong, R. Summer, and U. Kaltenborn - Germany RIF Session1 Paper 0637 Thermal Network Analysis in MV GIS Design

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Model verification

GHA 2500A double busbar feeder -- busbar rear

01 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23

Measurement points

Tem

pera

ture

rise

MeasuredMeasured GasSimulationSimulation_Gas

Page 11: Thermal Network Analysis in MV GIS Design · Prague, 8-11 June 2009 X.T. Dong, R. Summer, and U. Kaltenborn - Germany RIF Session1 Paper 0637 Thermal Network Analysis in MV GIS Design

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Temperature rise prediction

GHA 2500A single busbar feeder

0

1 3 5 7 9 11 13 15 17 19 21 23 25 27 29

Measurement points

Tem

pera

ture

rise

MeasuredMeasured GasSimulationSimulation_Gas

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Conclusion

High modeling efficiency

Very Low computational cost

Good accuracy