A Weather Aided State Estimator for power systems with integrated variable energy resources

Reshma Francy, Amro M. Farid, Kamal Yocef-Toumi

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

    1 Scopus citations

    Abstract

    In recent years, the penetration of renewable energy sources has increased, thus coupling the power grid to the variability of weather patterns. These variable energy resources (VERs) have the potential to raise the vulnerability of the power grid after sudden changes of weather. Given these new power grid behaviors, the goal becomes to provide the operator with a greater level of situational awareness. This work proposes a methodology to enhance the core of the Energy Management system - the state estimator. Traditional state estimation (SE) is combined with weather forecast data to provide the operator with an understanding of the system behavior a step into the future. This 'Weather-Aided State Estimator' can enhance the system operator's reaction to weather events with advanced notice and forewarning; enabling greater reliability of power grids with a high penetration of VERs. The paper outlines the methodology to implement the WASE along with results to illustrate the information which can be provided to the operator.

    Original languageEnglish
    Title of host publication2013 4th IEEE/PES Innovative Smart Grid Technologies Europe, ISGT Europe 2013
    DOIs
    StatePublished - 2013
    Event2013 4th IEEE/PES Innovative Smart Grid Technologies Europe, ISGT Europe 2013 - Lyngby, Denmark
    Duration: 6 Oct 20139 Oct 2013

    Publication series

    Name2013 4th IEEE/PES Innovative Smart Grid Technologies Europe, ISGT Europe 2013

    Conference

    Conference2013 4th IEEE/PES Innovative Smart Grid Technologies Europe, ISGT Europe 2013
    Country/TerritoryDenmark
    CityLyngby
    Period6/10/139/10/13

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