Load Characterization Based on Voltage and Current Phasorial Measurements in Micro-Grids

Diego Carrion, Jorge W. Gonzalez, Idi A. Isaac, Gabriel J. Lopez, Hugo A. Cardona

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

    5 Scopus citations

    Abstract

    In the present paper is shown a methodology for characterization of the electric load carried out using as baseline the information obtained from the measurement of the electrical parameters at the medium voltage level by means of the phasorial measurement units (PMUs) and low voltage level by means of the smart meters (SM) in a smart campus. A network topology is also developed for the connection of both PMUs and SMs to the control center using the Ethernet network that is available in the place, the control center is the site where all the optimization algorithms are merged for the energy management system (EMS) on smart campus. Load characterization is done by means of the ZIP model, in which the impedance, current, active and reactive power constants are calibrated. Then, simply with the voltage information obtained from the measurements, the load characterization curve over time is shown. For the location of the PMUs, the clustering technique of k-medoids is used, where the number of clusters represents the number of PMUs in the SEP which is calculated by a MILP optimization considering the 100% observability of the SEP, in terms of the location of SM is performed in each of the substations of the SEP on the low voltage side. Finally, a comparison of load characterization at the medium and low voltage level is performed, obtaining very similar values.

    Original languageEnglish
    Title of host publicationProceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages1-6
    Number of pages6
    ISBN (Electronic)9781538626443
    DOIs
    StatePublished - 29 Mar 2018
    Event2nd International Conference on Information Systems and Computer Science, INCISCOS 2017 - Quito, Ecuador
    Duration: 23 Nov 201725 Nov 2017

    Publication series

    NameProceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017
    Volume2017-November

    Conference

    Conference2nd International Conference on Information Systems and Computer Science, INCISCOS 2017
    Country/TerritoryEcuador
    CityQuito
    Period23/11/1725/11/17

    Bibliographical note

    Publisher Copyright:
    © 2017 IEEE.

    Keywords

    • AMI
    • EMS
    • Load characterization
    • Micro Grid
    • PMUs
    • Smart Campus

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