Power transformer electrostatic ring structure optimization method based on APDL and response surface method

Abstract

The invention discloses a power transformer electrostatic ring structure optimization method based on an APDL and a response surface method. The method comprises the following steps: establishing a power transformer electrostatic ring finite element model according to an ANSYS parametric modeling language APDL; taking reduction of the maximum electric field intensity as an optimization target, andsetting a change range of a parameter variable having an influence on the maximum electric field intensity; carrying out a response surface test by applying a center composite design method; checkingthe effectiveness of the response surface model, and analyzing the fitting degree and the prediction capability of the model; and obtaining an optimized parameter variable and a maximum electric field intensity value by adopting a mathematical programming method. According to the power transformer electrostatic ring structure optimization method based on APDL and a response surface method, the problems that in the prior art, repeated manual modeling, subdivision and solving are conducted on an optimized structure, and all variables are optimized respectively are solved, the optimization efficiency is improved, and optimization design can be conducted on power transformer electrostatic ring structures of different levels.

Description

technical field [0001] The invention relates to the technical field of transformer design, in particular to a structure optimization method of an electrostatic ring of a power transformer based on APDL and a response surface method. Background technique [0002] As the voltage level and capacity of power transformers gradually increase, the electrical insulation problem of power transformers becomes more and more serious. The insulation structure of a power transformer determines the distribution of the insulation electric field. How to optimize the design of the main insulation structure of a power transformer becomes the key to ensure its safe and stable operation. Therefore, in order to ensure the rationality and reliability of the main insulation structure of the power transformer, it is necessary to conduct experimental research, analysis and calculation of the electric field distribution in the power transformer. [0003] At present, the methods for structural optimiz...

AI Technical Summary

Problems solved by technology

Among them, the analytical formula method is suitable for models with a relatively simple structure. The analytical formula is obtained through theoretical derivation, which is convenient and fast for electric field analysis. However, for complex model structures, this method is often not available.

Sensitivity analysis methods are divided into differential method, semi-analytic method and full analytical method. The differential method is simple to implement, but the accuracy is poor when the independent variable step is large, while the derivation of the semi-analytic method and analytical method is difficult and the derivation process is cumbersome. Increased calculation time, low optimization efficiency

When dealing with optimization problems, the intelligent optimization method needs to call a large number of modeling, simulation and optimization programs repeatedly, which affects the optimization efficiency, and if the fitness function is not properly selected, it will lead to poor local search ability and reduced search efficiency

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