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    Transient stability enhancement of wind farms connected to a multi-machine power system by using an adaptive ANN-controlled SMES

    245859.pdf (608.5Kb)
    Access Status
    Open access
    Authors
    Muyeen, S.M.
    Hasanien, H.
    Al-Durra, A.
    Date
    2014
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Muyeen, S.M. and Hasanien, H. and Al-Durra, A. 2014. Transient stability enhancement of wind farms connected to a multi-machine power system by using an adaptive ANN-controlled SMES. Energy Conversion and Management. 78: pp. 412-420.
    Source Title
    Energy Conversion and Management
    DOI
    10.1016/j.enconman.2013.10.039
    ISSN
    0196-8904
    School
    Department of Electrical and Computer Engineering
    URI
    http://hdl.handle.net/20.500.11937/3676
    Collection
    • Curtin Research Publications
    Abstract

    This paper presents a novel adaptive artificial neural network (ANN)-controlled superconducting magnetic energy storage (SMES) system to enhance the transient stability of wind farms connected to a multi-machine power system during network disturbances. The control strategy of SMES depends mainly on a sinusoidal pulse width modulation (PWM) voltage source converter (VSC) and an adaptive ANN-controlled DC-DC converter using insulated gate bipolar transistors (IGBTs). The effectiveness of the proposed adaptive ANN-controlled SMES is then compared with that of proportional-integral (PI)-controlled SMES optimized by response surface methodology and genetic algorithm (RSM-GA) considering both of symmetrical and unsymmetrical faults. For realistic responses, real wind speed data and two-mass drive train model of wind turbine generator system is considered in the analyses. The validity of the proposed system is verified by the simulation results which are performed using the laboratory standard dynamic power system simulator PSCAD/EMTDC. Notably, the proposed adaptive ANN-controlled SMES enhances the transient stability of wind farms connected to a multi-machine power system.

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