Reactive load control of parallel transformer operations using Neural Networks

Fakhrul Islam, Baikunth Nath, Joarder Kamruzzaman

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    1 Citation (Scopus)

    Abstract

    Artificial Neural Network (ANN) is used in various fields including control and analysis of power systems. ANN in its learning process establishes the relationship between input variables by means of its weights updating, and provides a good response to another nonidentical but similar input. This paper proposes the use of neural network to control the on-load tap changer of parallel operation of two transformers supplying power to a local area. For simplicity, only two transformers are considered although operation of multiple transformers can be dealt with in a similar manner. A synthetic data set relating to tap changer operation sequence was used for training a backpropagation network to decide automatically on transformer’s on-load tap changer whether to raise, lower or hold the same desired position. Preliminary results show that a trained neural network can be successfully used for on load tap changing operation of transformers.
    Original languageEnglish
    Title of host publicationDevelopments in Applied Artificial Intelligence
    Subtitle of host publication15th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems IEA/AIE 2002 Cairns, Australia, June 17-20, 2002 Proceedings
    EditorsTim Hendtlass, Moonis Ali
    Place of PublicationBerlin Germany
    PublisherSpringer
    Pages824-830
    Number of pages7
    ISBN (Print)3540437819
    DOIs
    Publication statusPublished - 2002
    EventInternational Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems 2002 - Cairns, Australia
    Duration: 17 Jun 200220 Jun 2002
    Conference number: 15th
    https://link.springer.com/book/10.1007/3-540-48035-8 (Proceedings)

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer
    Volume2358
    ISSN (Print)0302-9743

    Conference

    ConferenceInternational Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems 2002
    Abbreviated titleIEA/AIE 2002
    CountryAustralia
    CityCairns
    Period17/06/0220/06/02
    Internet address

    Cite this