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Wind turbine transformer optimum design assuming a 3D wound core

Elhaminia, P ; Sharif University of Technology | 2017

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  1. Type of Document: Article
  2. DOI: 10.1109/IPSC.2015.7827724
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2017
  4. Abstract:
  5. A wind turbine transformer (WTT) is designed using a 3D wound core while the transformer's total owning cost (TOC) and its inrush current performance realized as the two objective functions in a multi-objective optimization process. Multi-objective genetic algorithm is utilized to derive Pareto optimal solutions. The effects of inrush current improvement on other operating and design parameters of the transformer such as: losses, dimensions, and weights are investigated. An approach is presented to select one design from optimal Pareto solutions based on relative improvement of the inrush current performance. Finally, this multi-objective optimum wind turbine transformer design is compared with an optimum transformer design obtained when just TOC is the objective function. © 2015 IEEE
  6. Keywords:
  7. 3D wound core ; Inrush current ; Pareto optimal solutions ; Total owning cost (TOC) ; Wind turbine transformer (WTT) ; Genetic algorithms ; Multiobjective optimization ; Optimal systems ; Optimization ; Pareto principle ; In-rush current ; Multi-objective genetic algorithm ; Wound core ; Wind turbines
  8. Source: 30th Power System Conference, PSC 2015, 23 November 2015 through 25 November 2015 ; 2017 , Pages 38-44 ; 9781509027057 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/7827724