An event triggered tracking state estimator for power systems with integrated wind generation

R. Francy, A. M. Farid, K. Youcef-Toumi

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

    5 Scopus citations

    Abstract

    For many decades, state estimation has been a critical technology in the energy management systems utilized by transmission system operators. Over time, it has become a mature technology that provides an accurate representation of system state under fairly stable and well understood system operation. The integration of variable energy resources such as wind and solar generation, however, introduce new dynamics and uncertainties into the system. Along with increase in variability which needs real time monitoring, state estimation will be extended to the distribution networks which increase the size of the problem. Conventional solutions to this problem result in large problem sets being solved at a faster rate thereby becoming computationally intensive. This work builds upon the recent contribution of event-triggering where the state estimator is only called in the case of considerable 'novelty' in the evolution of the system state. Specifically, the concept of tracking saves significant computational effort at minimal expense of error by allowing for the update of system state between two consecutive triggered instances. The new event-triggered tracking state estimator (ETTSE) is demonstrated on the standard IEEE 14-bus system, and the results are observed for a specific bus.

    Original languageEnglish
    Title of host publication2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013
    DOIs
    StatePublished - 2013
    Event2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013 - Grenoble, France
    Duration: 16 Jun 201320 Jun 2013

    Publication series

    Name2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013

    Conference

    Conference2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013
    Country/TerritoryFrance
    CityGrenoble
    Period16/06/1320/06/13

    Keywords

    • Event triggered
    • State Estimation
    • Tracking

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