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    A new control strategy for smoothing of wind farm output using short-term ahead wind speed prediction and Flywheel energy storage system

    245910.pdf (856.7Kb)
    Access Status
    Open access
    Authors
    Islam, F.
    Hasanien, H.
    Al-Durra, A.
    Muyeen, S.M.
    Date
    2012
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Islam, F. and Hasanien, H. and Al-Durra, A. and Muyeen, S.M. 2012. A new control strategy for smoothing of wind farm output using short-term ahead wind speed prediction and Flywheel energy storage system, in Proceedings of the Proceedings of the American Control Conference (ACC), Jun 27-29 2012, pp. 3026-3031. Montreal, Quebec, Canada: IEEE.
    Source Title
    Proceedings of the American Control Conference
    ISBN
    9781457710957
    School
    Department of Electrical and Computer Engineering
    Remarks

    © 2012 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/20.500.11937/35640
    Collection
    • Curtin Research Publications
    Abstract

    With the increased integration of wind energy into power networks it has become more important to have a reliable system for mitigating the fluctuations of output power supplied to the grid. This paper proposes a new control scheme to smooth the output power fluctuations of an aggregated wind firm using Flywheel energy storage system (FESS) and short-term ahead prediction of wind speed. In the proposed system, the kinetic energy of the FEES is utilized to smooth the output power fluctuations of wind farm. In addition, the stored energy of FESS is utilized in most efficient way by correcting the power reference using prediction base control. This helps to reduce the overall system cost by keeping the size of the energy storage system at minimum. The effectiveness of the proposed control is verified by using PSCAD/EMTDC.

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