Dynamic load modelling using measured data in distribution networks

Mehdi Shafiei, Ghavameddin Nourbakhsh, Gerard Ledwich, Tyrone Femando, Herbert Iu, Ali Arefi

    Research output: Chapter in Book/Conference paperConference paper

    Abstract

    Induction motor loads are considered as the main dynamic load in distribution networks. The aim of this paper is to propose a method to identify and model induction motor loads based on the data from Phasor Measurement Point (PMU). In this method, the active power-voltage transfer function is extracted from PMUs data, and the location of zero and pole of this transfer function can be employed to identify and model the induction motor loads. The effectiveness of the proposed method is evaluated by simulation results.

    Original languageEnglish
    Title of host publication3rd International Conference on Power Generation Systems and Renewable Energy Technologies, PGSRET 2017
    Place of PublicationUSA
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Pages1-4
    Number of pages4
    Volume2018-January
    ISBN (Electronic)9781509053537
    DOIs
    Publication statusPublished - 8 Jan 2018
    Event3rd International Conference on Power Generation Systems and Renewable Energy Technologies, PGSRET 2017 - Johor Bahru, Malaysia
    Duration: 4 Apr 20176 Apr 2017
    https://ieeemy.org/mysection/events/pgsret-2017-3rd-international-conference-on-power-generation-systems-and-renewable-energy-technologies/

    Conference

    Conference3rd International Conference on Power Generation Systems and Renewable Energy Technologies, PGSRET 2017
    CountryMalaysia
    CityJohor Bahru
    Period4/04/176/04/17
    Internet address

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  • Cite this

    Shafiei, M., Nourbakhsh, G., Ledwich, G., Femando, T., Iu, H., & Arefi, A. (2018). Dynamic load modelling using measured data in distribution networks. In 3rd International Conference on Power Generation Systems and Renewable Energy Technologies, PGSRET 2017 (Vol. 2018-January, pp. 1-4). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/PGSRET.2017.8251791