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    Transient stability augmentation of hybrid power system based on synthetic inertia control of DFIG

    Access Status
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    Authors
    Hazari, M.
    Mannan, M.
    Muyeen, S.M.
    Umemura, A.
    Takahashi, R.
    Tamura, J.
    Date
    2018
    Type
    Conference Paper
    
    Metadata
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    Citation
    Hazari, M. and Mannan, M. and Muyeen, S. and Umemura, A. and Takahashi, R. and Tamura, J. 2018. Transient stability augmentation of hybrid power system based on synthetic inertia control of DFIG, Australasian Universities Power Engineering Conference (AUPEC), pp. 1-6: IEEE.
    Source Title
    2017 Australasian Universities Power Engineering Conference, AUPEC 2017
    Source Conference
    Australasian Universities Power Engineering Conference (AUPEC)
    DOI
    10.1109/AUPEC.2017.8282485
    ISBN
    9781538626474
    School
    School of Electrical Engineering, Computing and Mathematical Science (EECMS)
    URI
    http://hdl.handle.net/20.500.11937/72621
    Collection
    • Curtin Research Publications
    Abstract

    © 2017 IEEE. Integration of large scale renewable energy sources (RESs), such as: wind power and photovoltaic (PV) plants, into the power system decreases the dependence on fossil fuel. Therefore, the total system inertia will be reduced because of gradual replacement of the conventional synchronous generators (SGs). This paper proposes a new method to enhance the transient stability of the power system with RESs introduced, in which variable speed wind turbine with doubly fed induction generator (VSWT-DFIG) supplies its kinetic energy (KE) during generation outage to stabilize conventional SGs. A suitable fuzzy logic based synthetic inertia controller is proposed to supply the KE effectively during transient period. This fuzzy logic controller (FLC) can continuously adjust the synthetic inertia controller gain depending upon the incoming wind speed. The effectiveness of the proposed synthetic inertia control method has been verified through simulation analyses on a hybrid power system model composed of DFIG, PV plant and SGs.

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