مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

901
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

0
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

PREDICTIVE CONTROL FOR IMPROVING POWER SYSTEM OSCILLATION DAMPING IN PRESENCE OF WIND FARMS USING SUPER CAPACITOR ENERGY STORAGE SYSTEM (SCESS) AND SSSC

Pages

  59-73

Keywords

STATIC SYNCHRONOUS SERIES COMPENSATOR (SSSC)Q2
SUPER CAPACITOR ENERGY STORAGE SYSTEM (SCESS)Q2
DOUBLY FED INDUCTION GENERATOR (DFIG)Q2

Abstract

 The main objective of this paper is to employ PREDICTIVE CONTROL strategy with the approach of active and reactive power control to improve POWER SYSTEM STABILITY in presence of wind farms based on Doubly Fed Induction Generator (DFIG). In this regard, the Super Capacitor Energy Storage System (SCESS) is used to control active power in the Grid Side Convertor (GSC) as well as balance the dc-link voltage and the Static Synchronous Series Compensator (SSSC) is employed to control power flow and reduce low frequency oscillations in the line leading to the infinite bus. The proposed strategy based on the PREDICTIVE CONTROL is functional and can be simultaneously used to control the active and reactive power of the Rotor Side Convertor (RSC) as well as design the damping controller for SCESS and SSSC. In order to reduce computational complexity in selecting input paths, the Laguerre functions are used. Moreover, the exponential data weighting are used to reduce sampling time in the prediction horizon. Simulation results for the functional model PREDICTIVE CONTROL is compared with the other two methods, model PREDICTIVE CONTROL and PI controller and its superiority in improving POWER SYSTEM STABILITY is confirmed.

Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    DARABIAN, M., & JALILVAND, A.. (2016). PREDICTIVE CONTROL FOR IMPROVING POWER SYSTEM OSCILLATION DAMPING IN PRESENCE OF WIND FARMS USING SUPER CAPACITOR ENERGY STORAGE SYSTEM (SCESS) AND SSSC. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, 46(2 (76)), 59-73. SID. https://sid.ir/paper/256431/en

    Vancouver: Copy

    DARABIAN M., JALILVAND A.. PREDICTIVE CONTROL FOR IMPROVING POWER SYSTEM OSCILLATION DAMPING IN PRESENCE OF WIND FARMS USING SUPER CAPACITOR ENERGY STORAGE SYSTEM (SCESS) AND SSSC. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING[Internet]. 2016;46(2 (76)):59-73. Available from: https://sid.ir/paper/256431/en

    IEEE: Copy

    M. DARABIAN, and A. JALILVAND, “PREDICTIVE CONTROL FOR IMPROVING POWER SYSTEM OSCILLATION DAMPING IN PRESENCE OF WIND FARMS USING SUPER CAPACITOR ENERGY STORAGE SYSTEM (SCESS) AND SSSC,” TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, vol. 46, no. 2 (76), pp. 59–73, 2016, [Online]. Available: https://sid.ir/paper/256431/en

    Related Journal Papers

    Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button