Dynamic response prediction of large turbo-generator stator end winding based on approximate model

Here, aiming at the complex problem of modeling and calculation for dynamic response of stator end winding of a large turbogenerator under electromagnetic force, a data-driven support vector regression (SVR) dynamic response prediction method was proposed. An approximate model for dynamic response of a certain 600 MW turbogenerator was established using a small number of typical samples to replace complex and time-consuming finite element model for predicting dynamic performance under different structural parameters. Firstly, the peak displacement of nose end of stator end winding was taken as key index of dynamic response, binding ring stiffness, radial support stiffness and fixed constraint number between sliding pins and radial supports were selected as design variables. Samples were obtained through orthogonal test design. In the software ABAQUS, finite element models corresponding to test samples were established, and then they were used to do calculations, and obtain nose end displacement time history curves. Furthermore, genetic algorithm was used to optimize parameters in SVR, and construct an approximate model for dynamic response of stator end winding. The comparison results showed that the accuracy of this approximate model is superior to those of prediction models based on response surface method and Kriging interpolation method. Finally, effects of design parameters on nose end peak displacement were explored based on this approximate model. It was shown that this method can be used in subsequent optimization designs as well as real-time solving and calculating electrical and mechanical properties of equipment digital twin systems. © 2023 Chinese Vibration Engineering Society. All rights reserved.