Dimension Reduction for the Design Optimization of Large Scale High Voltage Devices Using Co-Kriging Surrogate Modeling

被引:1
作者
Ye, Hanyu [1 ]
Clemens, Markus [1 ]
Seifert, Jens [2 ]
机构
[1] Berg Univ Wuppertal, Chair Electromagnet Theory, D-42119 Wuppertal, Germany
[2] Lapp Insulators GmbH, Business Unit Lapp Insulators Knowledge & Engn, D-95632 Wunsiedel, Germany
关键词
Algorithms; insulators; metamodeling; optimization methods;
D O I
10.1109/TMAG.2014.2361916
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In high voltage (HV) technology, the electrical field distribution can be improved using different field grading methods. These can be categorized into two groups: 1) capacitive or geometrical field grading and 2) resistive field grading. To obtain the optimized field grading effects, some geometrical or material parameters of the HV devices should be optimized. However, these devices are often nonrotationally symmetric and simulation is computationally very time consuming. In this paper, a multilevel surrogate method using co-Kriging methodology is proposed to optimize such large-scale 3-D HV devices. To compute the electrical field distribution of these HV devices, a finite-element method simulator can be run at different levels of complexity, i.e., by reducing the 3-D model into a 2-D model under certain additional assumptions. The co-Kriging method combines expensive runs of highly complex 3-D simulations with relatively inexpensive dimension reduced 2-D simulations. This approach is shown to allow for a faster optimization of a large-scale nonrotationally symmetric problem, while preserving a sufficiently high level of accuracy.
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页数:4
相关论文
共 12 条
[1]   Nonlinear Resistive Electric Field Grading Part 1: Theory and Simulation [J].
Christen, Thomas ;
Donzel, Lise ;
Greuter, Felix .
IEEE ELECTRICAL INSULATION MAGAZINE, 2010, 26 (06) :47-59
[2]  
Forrester A., 2008, Engineering Design via Surrogate Modelling: A Practical Guide, P240
[3]   Multi-fidelity optimization via surrogate modelling [J].
Forrester, Alexander I. J. ;
Sobester, Andras ;
Keane, Andy J. .
PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2007, 463 (2088) :3251-3269
[4]  
Hackam R, 1998, 1998 INTERNATIONAL SYMPOSIUM ON ELECTRICAL INSULATING MATERIALS, PROCEEDINGS, P1, DOI 10.1109/ISEIM.1998.741674
[5]   MINIMAX AND MAXIMIN DISTANCE DESIGNS [J].
JOHNSON, ME ;
MOORE, LM ;
YLVISAKER, D .
JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 1990, 26 (02) :131-148
[6]   A taxonomy of global optimization methods based on response surfaces [J].
Jones, DR .
JOURNAL OF GLOBAL OPTIMIZATION, 2001, 21 (04) :345-383
[7]   Predicting the output from a complex computer code when fast approximations are available [J].
Kennedy, MC ;
O'Hagan, A .
BIOMETRIKA, 2000, 87 (01) :1-13
[8]   Cost-efficient electromagnetic-simulation-driven antenna design using co-Kriging [J].
Koziel, S. ;
Ogurtsov, S. ;
Couckuyt, I. ;
Dhaene, T. .
IET MICROWAVES ANTENNAS & PROPAGATION, 2012, 6 (14) :1521-1528
[9]   Kriging: A useful, tool for electromagnetic device optimization [J].
Lebensztajn, L ;
Marretto, CAR ;
Costa, MC ;
Coulomb, JL .
IEEE TRANSACTIONS ON MAGNETICS, 2004, 40 (02) :1196-1199
[10]  
Seifert J., 2008, ETG FACHBERICHT, V110