A dynamic multi-level optimal design method with embedded finite-element modeling for power transformers

Yunpeng Zhang, Siu Lau Ho, Weinong Fu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

3 Citations (Scopus)


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.
Original languageEnglish
Article number056610
JournalAIP Advances
Issue number5
Publication statusPublished - 1 May 2018

ASJC Scopus subject areas

  • Physics and Astronomy(all)

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