Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (1)
  • Open Access


    Slime Mold Optimizer for Transformer Parameters Identification with Experimental Validation

    Salah K. Elsayed1,*, Ahmed M. Agwa2,3, Mahmoud A. El-Dabbah2, Ehab E. Elattar1

    Intelligent Automation & Soft Computing, Vol.28, No.3, pp. 639-651, 2021, DOI:10.32604/iasc.2021.016464

    Abstract The problem of parameters identification for transformer equivalent circuit can be solved by optimizing a nonlinear formula. The objective function attempts to minimize the sum of squared relative errors amongst the accompanying calculated and actual points of currents, powers, and secondary voltage during the load test of the transformer subject to a set of parameters constraints. The authors of this paper propose applying a new and efficient stochastic optimizer called the slime mold optimization algorithm (SMOA) to identify parameters of the transformer equivalent circuit. The experimental measurements of load test of single- and three-phase transformers… More >

Displaying 1-10 on page 1 of 1. Per Page