Ansys2025全球仿真大会：基于TwinAI及optiSLang的干式变压器温升预测模型优化

Hitachi

Energy基于TwinAI及optiSLang的干式变压器温升预测模型优化JiamingZHANGSep.-2025Internal©Hitachi

EnergyLtd2025.

Allrightsreservedu

ResearchObjectsu

Softwaredescriptionu

Preliminary

results

HighVoltageWindings

LowVoltageWindingsu

Conclusions2

Internal©Hitachi

EnergyLtd2025.

AllrightsreservedContentsHITACHlu

ResearchObjectsu

Softwaredescriptionu

Preliminary

results

HighVoltageWindings

LowVoltageWindingsu

Conclusions3

Internal©Hitachi

EnergyLtd2025.

AllrightsreservedContentsHITACHlElectricaldesignElectromagnetic

loss

Safetyconcern

Lifeofthe

productTemperature

riseResearchObjects4

Internal©Hitachi

EnergyLtd2025.

AllrightsreservedDesign

margin

HITACHlHotair

outCoolair

inHeat

upEfficiency

Accuracyl

Higherefficiency

Costsavingofthe

manhoursl

More

accurate

results

Less

design

marginICostsaving

ofthe

materialElectromagnetic

lossTemperature

riseResearchObjects5

Internal©Hitachi

EnergyLtd2025.

AllrightsreservedThermalcalculationHITACHlBack

upHotair

outCoolair

inHeat

up

Objects:

HVWindings:

Temperature

rise

LVWindings:

Temperature

rise

BoundaryConditions:

Power

Rating:

200~3800

kVA

Electrical

Height:

600~1500

mm

Enclosure

Type/Cooling

method:

IP00/AN

WindingTechnology:

Cast(HV),

OW(LV)

Construction

Type:

Disk(HV),

Foil(LV)ResearchObjects6

Internal©Hitachi

EnergyLtd2025.

AllrightsreservedHITACHlu

ResearchObjectsu

Softwaredescriptionu

Preliminary

results

HighVoltageWindings

LowVoltageWindingsu

Conclusions7

Internal©Hitachi

EnergyLtd2025.

AllrightsreservedContentsHITACHl

Target:

Based

onthesimulation

results,the

metamodels

aregeneratedfocusingon

the

prediction

of

some

thermal

behaviors.

Inthis

project,thetemperature

rise

are

researched

at

HV

and

LVwindingsofthetransformers.

Tool:

optiSLang

is

usedtoanalyzethedatabaseandtrainthe

metamodel.

TwinAI

is

usedtooptimizethetool

in

higheraccuracy.

optiSLang

isanANSYStoolcontributingonthe

sensitivity

analysis

andthe

guidance

of

design

work.SensitivityAnalyzation

DesignOptimizationSoftwaredescription8

Internal©Hitachi

EnergyLtd2025.

AllrightsreservedSensitivityAnalyze

QualificationOptimizationDoERandom

Sampling

CertaintySamplingMetamodel

PredictionHITACHlSoftwaredescription_optiSLangHmACHDoERandomSampling

CertaintySamplingSensitivityAnalyze

QualificationMetamodelPrediction9

Internal©Hitachi

EnergyLtd2025.

Allrightsreserved10

Internal©Hitachi

EnergyLtd2025.

AllrightsreservedSoftwaredescription_TwinAIHITACHlu

ResearchObjectsu

Softwaredescriptionu

Preliminary

results

HighVoltageWindings

LowVoltageWindingsu

Conclusions11

Internal©Hitachi

EnergyLtd2025.

AllrightsreservedContentsHITACHlResults-

HVWindings_optiSLang

results

HmACHi12

Internal©Hitachi

EnergyLtd2025.

AllrightsreservedTwinAI

optimization_HVwinding

HACHi13

Internal©Hitachi

EnergyLtd2025.

AllrightsreservedOptimizedresultoptiSLangresultTest

resultTest

resultVsVsResults-

HVWindingsMetamodelvsTests2.83

K2.38

K0.25

KHITACHlOptimizedvsTestsMetamodelvsTestsOptimizedvsTestsInternal©Hitachi

EnergyLtd2025.

AllrightsreservedCFDvsTests14Results-

LVWindings_optiSLang

resultsHmACHi15

Internal©Hitachi

EnergyLtd2025.

AllrightsreservedTwinAI

optimization_LVwinding

H

ACHi16

Internal©Hitachi

EnergyLtd2025.

AllrightsreservedOptimizedresultoptiSLangresultTest

resultTest

resultVsVsResults-

LVWindingsMetamodelvsTestsHITACHlOptimizedvsTestsMetamodelvsTests0.25

K

0.68

KOptimizedvsTestsCFDvsTests©Hitachi

EnergyLtd2025.

Allrightsreserved0.15

KInternal117u

ResearchObjectsu

Softwaredescriptionu

Preliminary

results

HighVoltageWindings

LowVoltageWindingsu

Conclusions18

Internal©Hitachi

EnergyLtd2025.

AllrightsreservedContentsHITACHlItemsMetamodelvsCFDMetamodelvsTestCFDvstestHVWindingsTemperatureRiseAverage

Difference5×10-112.492.83LVWindingsTemperature

RiseAverage

Difference0.010.970.15ItemsOptimizedvsTestMetamodelvsTe