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    Interconnection of two neighboring autonomous microgrids based on small signal analysis

    Access Status
    Fulltext not available
    Authors
    Pashajavid, E.
    Shahnia, Farhad
    Ghosh, A.
    Date
    2015
    Type
    Conference Paper
    
    Metadata
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    Citation
    Pashajavid, E. and Shahnia, F. and Ghosh, A. 2015. Interconnection of two neighboring autonomous microgrids based on small signal analysis, in Proceedings of the 9th International Conference on Power Electronics and ECCE Asia (ICPE-ECCE Asia), Jun 1-5 2015, pp. 213-220. Seoul: IEEE.
    Source Title
    9th International Conference on Power Electronics - ECCE Asia: "Green World with Power Electronics", ICPE 2015-ECCE Asia
    DOI
    10.1109/ICPE.2015.7167789
    ISBN
    9788957082546
    School
    Department of Electrical and Computer Engineering
    URI
    http://hdl.handle.net/20.500.11937/44758
    Collection
    • Curtin Research Publications
    Abstract

    Load-shedding is a mechanism to prevent overloading of an islanded microgrid (MG). To minimize load-shedding, extra support can be provided by interconnecting the overloaded MG to another islanded neighboring MG to support each other. For this, extra generation capacity needs to be available in the distributed energy resources of the neighboring MG. This paper proposes a decision making criterion for interconnection of two neighboring islanded MGs based on small signal stability analysis. The closed-loop control system of an MG is expressed in statespace domain and used for the stability analysis of the individual MGs as well as the system of coupled MGs. The results of this analysis are applied as a stability criterion to allow interconnection of two islanded MGs. Additionally, if it is revealed that interconnection of MGs will cause instability, the analysis yields the proper range for the droop control coefficients which need to be updated in the DERs, before they MGs are interconnected. MATLAB-based simulation studies are provided to evaluate the developed small signal stability analysis.

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