Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    Transformer Parameters Estimation From Nameplate Data Using Evolutionary Programming Techniques

    Access Status
    Fulltext not available
    Authors
    Mossad, M.
    Azab, M.
    Abu-Siada, Ahmed
    Date
    2014
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Mossad, M. and Azab, M. and Abu-Siada, A. 2014. Transformer Parameters Estimation From Nameplate Data Using Evolutionary Programming Techniques. IEEE Transactions on Power Delivery. 29 (5): pp. 2118-2123.
    Source Title
    IEEE Transactions on Power Delivery
    DOI
    10.1109/TPWRD.2014.2311153
    ISSN
    0885-8977
    School
    Department of Electrical and Computer Engineering
    URI
    http://hdl.handle.net/20.500.11937/17014
    Collection
    • Curtin Research Publications
    Abstract

    This paper proposes a simple and effective evolutionarycomputation-based technique to estimate the equivalentcircuit parameters of a single-phase transformer from its nameplatedata without the need to conduct any experimental measurements.Two techniques, namely: particle swarm optimizationand genetic algorithm are employed to track nameplate data byminimizing certain objective functions. The effectiveness of theproposed technique is examined through its application for threesingle-phase transformers of different ratings. The results showthat evolutionary computation techniques can precisely identifytransformer equivalent circuit parameters. The proposed techniquecan be extended to estimate the parameters of a three-phasepower transformer from its nameplate data without taking thetransformer out of service to carry out any experimental testing.

    Related items

    Showing items related by title, author, creator and subject.

    • Computational methods for solving optimal industrial process control problems
      Chai, Qinqin (2013)
      In this thesis, we develop new computational methods for three classes of dynamic optimization problems: (i) A parameter identification problem for a general nonlinear time-delay system; (ii) an optimal control problem ...
    • Low order channel estimation for CDMA systems
      Abd El-Sallam, Amar (2005)
      New approaches and algorithms are developed for the identification and estimation of low order models that represent multipath channel effects in Code Division Multiple Access (CDMA) communication systems. Based on these ...
    • A novel RANSAC approach to robustly solve the 3D similarity transformation problem
      Paláncz, B.; Awange, Joseph; Völgyesi, L. (2017)
      © 2017 Geological Society of AustraliaA novel RANSAC robust estimation technique is presented as an effiecient method for solving the seven-parameter datum transformation problem in the presence of outliers. RANSAC method, ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.