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  • Control Strategies for Augmenting LVRT Capability of DFIGs in Interconnected Power Systems

    Author(s)
    Hossain, M Jahangir
    Saha, Tapan Kumar
    Mithulananthan, Nadarajah
    Pota, Hemanshu R
    Griffith University Author(s)
    Hossain, Jahangir
    Year published
    2013
    Metadata
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    Abstract
    This paper presents a new control scheme for the enhancement of the low-voltage ride-through (LVRT) capability of doubly fed induction generators. The LVRT capability is provided by extending the range of operation of the controlled system to include typical postfault conditions. Controllers are designed simultaneously for both the rotor- and grid-side converters using a linear quadratic output-feedback decentralized control strategy. The nonlinear terms in the power system model are represented in this paper by an uncertain term derived from the Cauchy remainder of the Taylor series expansion. A genetic algorithm ...
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    This paper presents a new control scheme for the enhancement of the low-voltage ride-through (LVRT) capability of doubly fed induction generators. The LVRT capability is provided by extending the range of operation of the controlled system to include typical postfault conditions. Controllers are designed simultaneously for both the rotor- and grid-side converters using a linear quadratic output-feedback decentralized control strategy. The nonlinear terms in the power system model are represented in this paper by an uncertain term derived from the Cauchy remainder of the Taylor series expansion. A genetic algorithm is used to calculate the bound on the uncertainty. The robust controller resulting from this design provides acceptable performances to enhance voltage and transient stability margins and thereby to limit the oscillations, the peak value of the rotor current, and the dc-link voltage fluctuations. The performance of the designed controller is demonstrated under different operating conditions by large-disturbance simulations on a test system.
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    Journal Title
    IEEE Transactions on Industrial Electronics
    Volume
    60
    Issue
    6
    DOI
    https://doi.org/10.1109/TIE.2012.2228141
    Subject
    Information and computing sciences
    Engineering
    Electrical energy generation (incl. renewables, excl. photovoltaics)
    Publication URI
    http://hdl.handle.net/10072/55348
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    • Journal articles

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