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    Overload Prevention in an Autonomous Microgrid using Battery Storage Units

    200962_200962.pdf (643.8Kb)
    Access Status
    Open access
    Authors
    Goyal, M.
    Ghosh, Arindam
    Shahnia, Farhad
    Date
    2014
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Goyal, M. and Ghosh, A. and Shahnia, F. 2014. Overload Prevention in an Autonomous Microgrid using Battery Storage Units, in Proceedings of the IEEE Power and Energy Society General Meeting (PES), Jul 27-31 2014, pp. 1-5. Washington DC, USA: Institute of Electrical and Electronics Engineers (IEEE).
    Source Title
    Power and Energy Society General Meeting (PES), 2014 IEEE
    Source Conference
    Power and Energy Society General Meeting (PES), 2014 IEEE
    DOI
    10.1109/PESGM.2014.6939459
    School
    Department of Electrical and Computer Engineering
    Remarks

    Copyright © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

    URI
    http://hdl.handle.net/20.500.11937/27951
    Collection
    • Curtin Research Publications
    Abstract

    A new control strategy for smooth transition of a battery storage unit (BSU) is proposed in this paper to prevent overloading in an autonomous hybrid microgrid. The BSU is controlled to come online to prevent overloading to the distributed generators (DGs) in the autonomous microgrid and to go offline when the load demand is less than the total rating of the DGs in the microgrid. The microgrid can contain either inertial DG or non–inertial DGs, which are controlled in a frequency droop. The sensing of switching on and switching off of the BSU depends on the frequency signal, which is developed in the paper. The proposed strategy is validated through PSCAD/EMTDC simulation studies.

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