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    Short transient recovery of low voltage-grid-tied DC distributed generation

    Access Status
    Fulltext not available
    Authors
    Harirchi, F.
    Simoes, M.
    Durra, A.
    Muyeen, S.M.
    Date
    2015
    Type
    Conference Paper
    
    Metadata
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    Citation
    Harirchi, F. and Simoes, M. and Durra, A. and Muyeen, S.M. 2015. Short transient recovery of low voltage-grid-tied DC distributed generation, in Proceedings of The Seventh Annual Energy Conversion Congress and Exposition (ECCE), Sep 20-24 2015, pp. 1149-1155. Montreal, Canada: IEEE.
    Source Title
    2015 IEEE Energy Conversion Congress and Exposition, ECCE 2015
    DOI
    10.1109/ECCE.2015.7309820
    ISBN
    9781467371506
    School
    Department of Electrical and Computer Engineering
    URI
    http://hdl.handle.net/20.500.11937/19367
    Collection
    • Curtin Research Publications
    Abstract

    This paper presents a design framework for a power electronic interface for a grid-tied (GT) low voltage DC distributed generation (DG) with short transient recovery between GT mode and islanding mode. The proposed interface contains controlled unidirectional and bidirectional floating interleaved converters (FIC), in addition to a smart grid-tied inverter (GTI) to optimize the overall performance of the DG from different perspectives and provide compatible AC voltage to the grid and local loads during islanding mode, GT operating mode and transition mode. FIC has been applied in order to address the low gain issue in photovoltaic (PV) based DGs, and bidirectional FIC is used in order to add the Energy Storage Unit (ESU) to the system. A comprehensive study on bidirectional FIC operating modes indicates that a single-controller scheme can be applied to control the overall operation of this converter in the buck and boost modes. By using this method, the transient response caused by changing controllers between the boost and buck modes will be recovered. Finally, a battery lifetime management algorithm is proposed for increasing the storage system reliability. The effectiveness of the proposed framework has been verified using simulation results in MATLAB and PSIM software; experimental work is under progress.

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