• Title of article

    Design and optimization of a large-scale permanent magnet synchronous generator

  • Author/Authors

    Alemi-Rostamia, M. Department of Electrical Engineering - Aerospace Research Institute (ARI) - Ministry of Science Research and Technology, Tehran, Iran , Rezazadeh, G. Department of Electrical Engineering - Sharif University of Technology, Tehran, Iran , Alipour-Sarabi, R. Department of Electrical Engineering - Sharif University of Technology, Tehran, Iran , Tahami, F. Department of Electrical Engineering - Sharif University of Technology, Tehran, Iran

  • Pages
    13
  • From page
    217
  • To page
    229
  • Abstract
    Direct drive permanent magnet synchronous generators have numerous advantages such as improved reliability, low maintenance, long life, and developed performance characteristics. Focus of this paper is on the development of a step-by-step method for the design of a permanent magnet synchronous generator. Then the winding function method is used to model the generator and to analytically calculate its output characteristics. The analytical results of the designed generator are evaluated with the finite element analysis (FEA) results and it is demonstrated that the achieved results from both methods are well matched with the experimental measurements of the Northern Power direct-drive generator. The sensitivity analysis and the optimization based on the genetic algorithm are used to achieve an optimum generator. The optimization goal is obtaining higher efficiency and power factor with lower required permanent magnet (PM) volume and voltage regulation for the optimum machine compared to the initial design. In addition, the calculation of the voltage total harmonic distortion (THD) is presented and the optimum skew angle for the optimum generator is computed to reduce the voltage THD.
  • Keywords
    Direct drive permanent magnet synchronous generator , Design and optimization , Winding function method , Performance calculation , Voltage THD calculation , Optimum skew angle
  • Journal title
    Scientia Iranica(Transactions D: Computer Science and Electrical Engineering)
  • Serial Year
    2022
  • Record number

    2731381