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Research On Heat Dissipation Optimization Of High Power Converter In Microgrid

Posted on:2021-04-30Degree:MasterType:Thesis
Country:ChinaCandidate:X JiangFull Text:PDF
GTID:2392330605471719Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
The development characteristics of power electronic devices with high power,miniaturization and high performance have led to their wide application in various fields.In recent years,with the rapid rise of microgrids,a large number of IGBT devices have been used in them.The use of IGBT devices in converter devices is more concentrated As an important device for grid-connected operation of the microgrid,the converter device directly affects the efficiency of the grid-connected conversion.As the power of the device becomes larger,its heat loss generates more and more heat,which causes the IGBT module temperature to be too high.The weakened flow capacity has a huge impact on the converter of the IGBT module.If the heat cannot be dissipated in time,it will form a vicious cycle,which will eventually cause device failure,equipment shutdown,or even serious accidents such as fire.Therefore,this article uses a certain 500 k W micro The high-power converter of the network is the research object,and the IGBT module heat dissipation optimization research is carried out.The specific design content is as follows:First,the related theory of IGBT module and the calculation method of heat loss are described.The method is used to calculate the loss of IGBT and the results are verified using IPOSIM6 software.It is proved that the calculation method of power loss is reasonable.The basic theory of heat transfer Analysis and comparison of the advantages and disadvantages of the heat dissipation method.The forced air-cooled fin radiator model was selected for optimal design.Based on the objective optimization theory and the main content of the genetic algorithm,the key parameters of the genetic algorithm were further studied.Secondly,according to the relevant knowledge of thermal simulation FLUENT software,the converter structure parameters are used to establish a three-dimensional heat dissipation model of the converter IGBT module,determine the factors affecting the heat dissipation conditions and the influence of the heat sink material on the heat dissipation efficiency,and mesh the model Divide and solve parameter settings.Finally,the model results are analyzed,and the fluid and temperature distribution in the converter are analyzed.The orthogonal test is used to fit the data,and the fitted data is input into MATLAB.The heat sink substrate thickness and fins are used.Thickness,fin length,fin spacing and fin slotting rate are optimized design variables,with the lowest module heating temperature and the smallest heat sink volume as the optimization goals,using genetic algorithm,output the best results,and compare the results with the conventional ones The comparison between the radiator and the slotted radiator shows that the volume of the slotted radiator and the maximum temperature of the IGBT module are lower than both,which proves that the proposed slotted radiator is superior to the conventional radiator and theslotted radiator.Compared with heat pipe radiator and copper foam radiator,although the heat dissipation effect of slotted radiator is slightly weaker than heat pipe and foam copper,it is obviously superior to heat pipe and copper foam in terms of volume,design cost and production process.In the allowable temperature range,considering the actual situation of the converter,the slotted radiator is preferred,this design can solve the current IGB in the converter The problem of high temperature of T module provides a solid theoretical basis and basis for the follow-up research.In this paper,by conducting heat dissipation optimization research on the IGBT module,in the case of a small radiator,the overall temperature of the module and the radiator is reduced,manpower and material resources are saved,the operating efficiency of the converter device is improved,and the production cost is reduced.
Keywords/Search Tags:Temperature Distribution, Multi-objective Theory, Genetic Algorithm, Optimization Research
PDF Full Text Request
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