Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/77028
Title: A dynamic multi-level optimal design method with embedded finite-element modeling for power transformers
Authors: Zhang, Y 
Ho, SL 
Fu, W 
Issue Date: 2018
Publisher: American Institute of Physics
Source: AIP advances, 2018, v. 8, no. 5, 56610 How to cite?
Journal: AIP advances 
Abstract: This paper proposes a dynamic multi-level optimal design method for power transformer design optimization (TDO) problems. A response surface generated by second-order polynomial regression analysis is updated dynamically by adding more design points, which are selected by Shifted Hammersley Method (SHM) and calculated by finite-element method (FEM). The updating stops when the accuracy requirement is satisfied, and optimized solutions of the preliminary design are derived simultaneously. The optimal design level is modulated through changing the level of error tolerance. Based on the response surface of the preliminary design, a refined optimal design is added using multi-objective genetic algorithm (MOGA). The effectiveness of the proposed optimal design method is validated through a classic three-phase power TDO problem.
URI: http://hdl.handle.net/10397/77028
ISSN: 2158-3226
EISSN: 2158-3226
DOI: 10.1063/1.5006736
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