Abstract

In this paper, in view of the low efficiency of the traditional finite element method (FEM), which has been widely used in the insulation design of power transformers, the response surface methodology (RSM) is proposed to optimize the insulation structure of a power transformer electrostatic ring. Firstly, the power transformer model was built using the ANSYS parametric design language (APDL) to realize the automatic pre-processing of numerical calculation. Then with the objective of reducing the maximum electric field intensity, the Taguchi method was used to select the parameters that have a greater impact on the maximum electric field intensity, by which the subsequent optimization process could be effectively simplified. The test points were constructed by the central composite design (CCD) and a response surface model was established by the mutual calls of MATLAB and ANSYS. Finally, the variance analysis, diagnostic analysis, and significance test of regression were carried out to obtain the final response surface model. By comparing the result of RSM with that of FEM, we can find that the results obtained by the two methods are consistent and the maximum electric field strength is obviously reduced. The RSM is more systematic and convincing, which improves the optimization efficiency and provides a reliable and fast way for the optimization of power transformers.

Highlights

  • As the main device of power systems, the power transformer is essential to the safe and reliable operation of the whole electrical network [1].The insulation structure determines the electric field distribution; the optimization of the main insulation structure is of great importance to ensure the safe and stable operation of the power transformer [2,3].With the increase of voltage levels, more and more attention has been paid to the electrical insulation problem of the power transformer

  • (8) issuch theto quadratic response surface model appropriate values assigned to each variable

  • Is the quadratic response surface model with removed, and the final response which surfacecan equation withquickly a higher ability is shown with single objective optimization, be solved by prediction quadratic programming

Read more

Summary

Introduction

As the main device of power systems, the power transformer is essential to the safe and reliable operation of the whole electrical network [1].The insulation structure determines the electric field distribution; the optimization of the main insulation structure is of great importance to ensure the safe and stable operation of the power transformer [2,3].With the increase of voltage levels, more and more attention has been paid to the electrical insulation problem of the power transformer. The insulation structure of a transformer is complex, which makes the electric field distribution non-uniform. To confirm the rationality and reliability of the main insulation structure of the transformer, it is necessary to test, calculate, and analyze the electric field distribution [4]. Electric field analysis methods can be divided into two types, the analytical methods and the numerical methods.

Methods
Results
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call