IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v10y2017i4p484-d94942.html
   My bibliography  Save this article

Analysis of Low Frequency Oscillation Using the Multi-Interval Parameter Estimation Method on a Rolling Blackout in the KEPCO System

Author

Listed:
  • Kwan-Shik Shim

    (Department of Electrical Engineering, Chonnam National University, Gwangju 500-757, Korea)

  • Seon-Ju Ahn

    (Department of Electrical Engineering, Chonnam National University, Gwangju 500-757, Korea)

  • Sang-Yun Yun

    (Department of Electrical Engineering, Chonnam National University, Gwangju 500-757, Korea)

  • Joon-Ho Choi

    (Department of Electrical Engineering, Chonnam National University, Gwangju 500-757, Korea)

Abstract

This paper describes a multiple time interval (“multi-interval”) parameter estimation method. The multi-interval parameter estimation method estimates a parameter from a new multi-interval prediction error polynomial that can simultaneously consider multiple time intervals. The root of the multi-interval prediction error polynomial includes the effect on each time interval, and the important mode can be estimated by solving one polynomial for multiple time intervals or signals. The algorithm of the multi-interval parameter estimation method proposed in this paper is applied to the test function and the data measured from a PMU (phasor measurement unit) installed in the KEPCO (Korea Electric Power Corporation) system. The results confirm that the proposed multi-interval parameter estimation method accurately and reliably estimates important parameters.

Suggested Citation

  • Kwan-Shik Shim & Seon-Ju Ahn & Sang-Yun Yun & Joon-Ho Choi, 2017. "Analysis of Low Frequency Oscillation Using the Multi-Interval Parameter Estimation Method on a Rolling Blackout in the KEPCO System," Energies, MDPI, vol. 10(4), pages 1-18, April.
  • Handle: RePEc:gam:jeners:v:10:y:2017:i:4:p:484-:d:94942
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/10/4/484/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/10/4/484/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yan Zhao & Zhimin Li & Yonghui Nie, 2016. "A Time-Frequency Analysis Method for Low Frequency Oscillation Signals Using Resonance-Based Sparse Signal Decomposition and a Frequency Slice Wavelet Transform," Energies, MDPI, vol. 9(3), pages 1-18, March.
    2. Guowei Cai & Deyou Yang & Cheng Liu, 2013. "Adaptive Wide-Area Damping Control Scheme for Smart Grids with Consideration of Signal Time Delay," Energies, MDPI, vol. 6(9), pages 1-18, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Francesco Bonavolontà & Luigi Pio Di Noia & Davide Lauria & Annalisa Liccardo & Salvatore Tessitore, 2019. "An Optimized HT-Based Method for the Analysis of Inter-Area Oscillations on Electrical Systems," Energies, MDPI, vol. 12(15), pages 1-22, July.
    2. Shuang Feng & Jianing Chen & Yi Tang, 2019. "Identification of Low Frequency Oscillations Based on Multidimensional Features and ReliefF-mRMR," Energies, MDPI, vol. 12(14), pages 1-18, July.
    3. Tao Zhou & Zhong Chen & Siqi Bu & Haoran Tang & Yi Liu, 2018. "Eigen-Analysis Considering Time-Delay and Data-Loss of WAMS and ITS Application to WADC Design Based on Damping Torque Analysis," Energies, MDPI, vol. 11(11), pages 1-15, November.
    4. Sapnken, Flavian Emmanuel & Hong, Kwon Ryong & Chopkap Noume, Hermann & Tamba, Jean Gaston, 2024. "A grey prediction model optimized by meta-heuristic algorithms and its application in forecasting carbon emissions from road fuel combustion," Energy, Elsevier, vol. 302(C).
    5. Kwan-Shik Shim & Seon-Ju Ahn & Joon-Ho Choi, 2017. "Synchronization of Low-Frequency Oscillation in Power Systems," Energies, MDPI, vol. 10(4), pages 1-11, April.
    6. Beata Palczynska, 2017. "Identification of Non-Stationary Magnetic Field Sources Using the Matching Pursuit Method," Energies, MDPI, vol. 10(5), pages 1-13, May.
    7. Ziquan Liu & Wei Yao & Jinyu Wen, 2017. "Enhancement of Power System Stability Using a Novel Power System Stabilizer with Large Critical Gain," Energies, MDPI, vol. 10(4), pages 1-15, April.
    8. Ying-Yi Hong, 2016. "Electric Power Systems Research," Energies, MDPI, vol. 9(10), pages 1-4, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:10:y:2017:i:4:p:484-:d:94942. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.