Creating multivariable response surfaces by the two-stage adaptive sampling techniques and its application in the optimization of grounding grids

Author

Zou, J. ; Guo, J. ; Zhang, B. ; He, J.L. ; Lee, J. ; Chang, S.

Author_Institution

Dept. of Electr. Eng., Tsinghua Univ., Beijing

Volume

42

Issue

4

fYear

2006

fDate

4/1/2006 12:00:00 AM

Firstpage

1131

Lastpage

1134

Abstract

A fast and efficient adaptive sampling algorithm to obtain the response surface of multivariable objective function is presented. The algorithm is divided into two stages. First, starting with a low-rank interpolation model, the technique systematically increases the rank by optimally choosing new support points in the areas of the highest error until the required accuracy is achieved. Second, the verification between the fitted result and the exact one is carried out. The optimization of grounding grids is performed to show the effectiveness of the proposed algorithm

Keywords

computational electromagnetics; interpolation; optimisation; response surface methodology; adaptive sampling algorithm; grounding grids optimization; low-rank interpolation model; multivariable objective function; multivariable response surfaces; response surface; two-stage adaptive sampling techniques; Adaptive control; Grounding; Interpolation; Polynomials; Power system control; Power system simulation; Power systems; Programmable control; Response surface methodology; Sampling methods; Adaptive sampling; multivariable response surface; optimization;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/TMAG.2006.871446

Filename

1608410