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Article . 2019
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IEEE Industrial Electronics Magazine
Article . 2019 . Peer-reviewed
License: IEEE Copyright
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Supervisory Energy-Management Systems for Microgrids: Modeling and Formal Verification

Authors: Gayathri Sugumar; Rajasekar Selvamuthukumaran; Mateja Novak; Tomislav Dragicevic;

Supervisory Energy-Management Systems for Microgrids: Modeling and Formal Verification

Abstract

This article presents the modeling and verification of supervisory energy-management systems (EMSs) for microgrids using timed automata (TA) and a formal verification approach. The EMS plays an essential role in managing the power flow among different components in the microgrid system for its safe and reliable operation. The modeling of the EMS is based on predefined invariants with allowable and nonallowable operating modes, which are the conditions that do not change over time. The failure of invariants could have severe effects on microgrid system functionality, which highlights the importance of verification during the initial stage of EMS design. Conventional approaches, such as simulation and/or experimental verification, require manual checking and skilled professional knowledge to check EMS design correctness. Also, there may be a corner case that could lead to system failure that goes unidentified by manual analysis.

Country
Denmark
Keywords

Formal verification, Load modeling, Energy Management, Computational modeling, Microgrids, Automata

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    12
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Top 10%
Average
Top 10%
Green
bronze