NDLI: Enhanced modelling of the transformer winding high frequency parameters identification from measured frequency response analysis

Content Provider	IET Digital Library
Author	Chanane, Abdallah Houassine, Hamza Bouchhida, Ouahid
Abstract	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.
Starting Page	1339
Ending Page	1345
Page Count	7
ISSN	17518687
Volume Number	13
e-ISSN	17518695
Issue Number	Issue 8, Apr (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/13/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2018.5514
Journal	IET Generation, Transmission & Distribution
Publisher Date	2019-01-16
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Air Core Combinatorial Mathematics Equivalent Circuit Frequency Response Frequency Response Analysis Genetic Algorithm Genetic Algorithm Method High Frequency Parameter Identification Luxurious Time-efficient Computation Method Modernised Method Optimisation Technique Particle Swarm Optimisation Physical Behaviour PSO-SA Search Problem Simulated Annealing Simulated Annealing Method Transformer And Reactors Transformer Winding Transformer Windings
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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Investigation of the transformer winding high-frequency parameters identification using particle swarm optimisation method

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