This research presents a predictive engine that integrates into an on-line optimal control planner for electrical microgrids. This controller models the behavior of the underlying system over a specified time horizon and then solves for a control over this period. In an electrical microgrid, such predictions are challenging to obtain in the presence of errors in the sensor information. The likelihood of instrumentation errors increases as microgrids become more complex and cyber threats more common. In order to overcome these difficulties, details are provided about a predictive engine robust to errors.


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    Title :

    A predictive engine for on-line optimal microgrid control


    Contributors:


    Publication date :

    2017-08-01


    Size :

    868937 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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