Control architecture of power systems: Modeling of purpose and function

Kai Heussen, Arshad Saleem, Morten Lind

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearch

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    Many new technologies with novel control capabilities have been developed in the context of “smart grid” research. However, often it is not clear how these capabilities should best be integrated in the overall system operation. New operation paradigms change the traditional control architecture of power systems and it is necessary to identify requirements and functions. How does new control architecture fit with the old architecture? How can power system functions be specified independent of technology? What is the purpose of control in power systems? In this paper, a method suitable for semantically consistent modeling of control architecture is presented. The method, called Multilevel Flow Modeling (MFM), is applied to the case of system balancing. It was found that MFM is capable of capturing implicit control knowledge, which is otherwise difficult to formalize. The method has possible future applications in agent-based intelligent grids.
    Original languageEnglish
    Title of host publicationIEEE Power & Energy Society General Meeting, 2009. : PES '09.
    Publication date2009
    ISBN (Print)978-1-4244-4241-6
    Publication statusPublished - 2009
    Event2009 IEEE Power and Energy Society General Meeting - Calgary, Canada
    Duration: 26 Jul 200930 Jul 2009


    Conference2009 IEEE Power and Energy Society General Meeting
    Internet address

    Bibliographical note

    Copyright: 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE


    • Smart grid concepts
    • Frequency control
    • Functional modeling
    • Requirement analysis
    • Modeling methods


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