Shape optimization of high voltage gas circuit breaker using Kriging-based model and genetic algorithm

被引：0
作者：
Kwak, Chang-Seob [1 ]
Kim, Hong-Kyu [1 ]
Cha, Jeong-Won [2 ]
机构：
[1] Dept, of Korea Electrotechnology Research Institute
[2] Dept. of Computer Engineering, Chang-wn National University
来源：
Transactions of the Korean Institute of Electrical Engineers | 2013年 / 62卷 / 02期
关键词：
Boundary shifting; Gas circuit breaker; Genetic algorithm; Kriging; Latin hypercube sampling; Optimal design;
D O I：
10.5370/KIEE.2013.62.2.177
中图分类号：
学科分类号：
摘要：
We describe a new method for selecting design variables for shape optimization of high-voltage gas circuit breaker using a Kriging meta-model and a genetic algorithm. Firstly we sample balance design variables using the Latin Hypercube Sampling. Secondly, we build meta-model using the Kriging. Thirdly, we search the optimal design variables using a genetic algorithm. To obtain the more exact design variable, we adopt the boundary shifting method. With the proposed optimization frame, we can get the improved interruption design and reduce the design time by 80%. We applied the proposed method to the optimization of multivariate optimization problems as well as shape optimization of a high - voltage gas circuit breaker.
引用
收藏
页码：177 / 183
页数：6
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