Open AccessEnhanced modelling of the transformer winding high frequency parameters identification from measured frequency response analysis
Author(s) -
Chanane Abdallah,
Houassine Hamza,
Bouchhida Ouahid
Publication year - 2019
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2018.5514
Subject(s) - particle swarm optimization , transformer , simulated annealing , computation , electromagnetic coil , computer science , algorithm , electronic engineering , mathematical optimization , engineering , mathematics , electrical engineering , voltage
One way to represent the physical behaviour of the transformer winding under high frequencies is to construct an equivalent circuit using modernised methods. This study represents a luxurious and time‐efficient computation method based on particle swarm optimisation with simulated annealing (PSO‐SA) method to construct an equivalent circuit of a transformer winding, from its frequency response analysis. The proposed method uses a simulated annealing method as a local search tool to improve the convergence and the characteristics of particle swarm optimisation in fast calculation. Furthermore, a comparative study of PSO‐SA, crow search algorithm and genetic algorithm method is made. Different case studies of a transformer winding with an air core are considered. According to the results, the PSO‐SA has higher efficiency and faster convergence.