IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v4y2011i9p1410-1427d14046.html
   My bibliography  Save this article

Mixed Over-Voltage Decomposition Using Atomic Decompositions Based on a Damped Sinusoids Atom Dictionary

Author

Listed:
  • Qing Yang

    (State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China)

  • Jing Wang

    (State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China)

  • Wenxia Sima

    (State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China)

  • Lin Chen

    (State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China)

  • Tao Yuan

    (State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China)

Abstract

The main purpose of this paper is to establish a signal decomposition system aiming at mixed over-voltages in power systems. In an electric power system, over-voltage presents a great threat for the system safety. Analysis and identification of over-voltages is helpful to improve the stability and safety of power systems. Through statistical analysis of a collection of field over-voltage records, it was found that a kind of complicated signals created by mixing of multiple different over-voltages is difficult to identify correctly with current classification algorithms. In order to improve the classification and identification accuracy of over-voltages, a mixed over-voltage decomposition system based on the atomic decomposition and a damped sinusoid atom dictionary has been established. This decomposition system is optimized by using particle swarm optimization and the fast Fourier transform. Aiming at possible fault decomposition results during decomposition of the over-voltage signal, a double-atom decomposition algorithm is proposed in this paper. By taking three typical mixed over-voltages as examples, the validity of the algorithm is demonstrated.

Suggested Citation

  • Qing Yang & Jing Wang & Wenxia Sima & Lin Chen & Tao Yuan, 2011. "Mixed Over-Voltage Decomposition Using Atomic Decompositions Based on a Damped Sinusoids Atom Dictionary," Energies, MDPI, vol. 4(9), pages 1-18, September.
    • Handle: RePEc:gam:jeners:v:4:y:2011:i:9:p:1410-1427:d:14046
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/4/9/1410/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/4/9/1410/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jing Wang & Qing Yang & Wenxia Sima & Tao Yuan & Markus Zahn, 2011. "A Smart Online Over-Voltage Monitoring and Identification System," Energies, MDPI, vol. 4(4), pages 1-17, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Beata Palczynska, 2017. "Identification of Non-Stationary Magnetic Field Sources Using the Matching Pursuit Method," Energies, MDPI, vol. 10(5), pages 1-13, May.
    2. Kaihua Jiang & Lin Du & Huan Chen & Feng Yang & Yubo Wang, 2019. "Non-Contact Measurement and Polarity Discrimination-Based Identification Method for Direct Lightning Strokes," Energies, MDPI, vol. 12(2), pages 1-17, January.
    3. Karol Nowak & Jerzy Janiszewski & Grzegorz Dombek, 2019. "Thyristor Arc Eliminator for Protection of Low Voltage Electrical Equipment," Energies, MDPI, vol. 12(14), pages 1-15, July.

    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. Qing Yang & Bo Zhang & Jiaquan Ran & Song Chen & Yanxiao He & Jian Sun, 2017. "Measurement of Line-to-Ground Capacitance in Distribution Network Considering Magnetizing Impedance’s Frequency Characteristic," Energies, MDPI, vol. 10(4), pages 1-14, April.
    2. Qing Yang & Peiyu Su & Yong Chen, 2017. "Comparison of Impulse Wave and Sweep Frequency Response Analysis Methods for Diagnosis of Transformer Winding Faults," Energies, MDPI, vol. 10(4), pages 1-16, March.
    3. Kaihua Jiang & Lin Du & Huan Chen & Feng Yang & Yubo Wang, 2019. "Non-Contact Measurement and Polarity Discrimination-Based Identification Method for Direct Lightning Strokes," Energies, MDPI, vol. 12(2), pages 1-17, January.
    4. Lin Chen & Qing Yang & Jing Wang & Wenxia Sima & Tao Yuan, 2011. "Classification of Fundamental Ferroresonance, Single Phase-to-Ground and Wire Breakage Over-Voltages in Isolated Neutral Networks," Energies, MDPI, vol. 4(9), pages 1-20, August.
    5. Xingliang Jiang & Yunfeng Xia & Jianlin Hu & Zhijin Zhang & Lichun Shu & Caxin Sun, 2011. "An S-Transform and Support Vector Machine (SVM)-Based Online Method for Diagnosing Broken Strands in Transmission Lines," Energies, MDPI, vol. 4(9), pages 1-23, August.
    6. Arends, Marcel & Hendriks, Paul H.J., 2014. "Smart grids, smart network companies," Utilities Policy, Elsevier, vol. 28(C), pages 1-11.

    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:4:y:2011:i:9:p:1410-1427:d:14046. 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.