IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i1p194-d195876.html
   My bibliography  Save this article

Application of Spectral Kurtosis to Characterize Amplitude Variability in Power Systems’ Harmonics

Author

Listed:
  • Jose-María Sierra-Fernández

    (PAIDI-TIC-168, Computational Instrumentation, University of Cádiz, Av. Ramón Puyol, 11202 Algeciras, Spain)

  • Sarah Rönnberg

    (Electric Power Engineering, Luleå University of Technology, Forskargatan 1, 931 87 Skellefteå, Sweden)

  • Juan-José González de la Rosa

    (PAIDI-TIC-168, Computational Instrumentation, University of Cádiz, Av. Ramón Puyol, 11202 Algeciras, Spain)

  • Math H. J. Bollen

    (Electric Power Engineering, Luleå University of Technology, Forskargatan 1, 931 87 Skellefteå, Sweden)

  • José-Carlos Palomares-Salas

    (PAIDI-TIC-168, Computational Instrumentation, University of Cádiz, Av. Ramón Puyol, 11202 Algeciras, Spain)

Abstract

The highly-changing concept of Power Quality (PQ) needs to be continuously reformulated due to the new schemas of the power grid or Smart Grid (SG). In general, the spectral content is characterized by their averaged or extreme values. However, new PQ events may consist of large variations in amplitude that occur in a short time or small variations in amplitude that take place continuously. Thus, the former second-order techniques are not suitable to monitor the dynamics of the power spectrum. In this work, a strategy based on Spectral Kurtosis (SK) is introduced to detect frequency components with a constant amplitude trend, which accounts for amplitude values’ dispersion related to the mean value of that spectral component. SK has been proven to measure frequency components that follow a constant amplitude trend. Two practical real-life cases have been considered: electric current time-series from an arc furnace and the power grid voltage supply. Both cases confirm that the more concentrated the amplitude values are around the mean value, the lower the SK values are. All this confirms SK as an effective tool for evaluating frequency components with a constant amplitude trend, being able to provide information beyond maximum variation around the mean value and giving a progressive index of value dispersion around the mean amplitude value, for each frequency component.

Suggested Citation

  • Jose-María Sierra-Fernández & Sarah Rönnberg & Juan-José González de la Rosa & Math H. J. Bollen & José-Carlos Palomares-Salas, 2019. "Application of Spectral Kurtosis to Characterize Amplitude Variability in Power Systems’ Harmonics," Energies, MDPI, vol. 12(1), pages 1-15, January.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:1:p:194-:d:195876
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/1/194/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/1/194/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Juan José González De la Rosa & José María Sierra-Fernández & José Carlos Palomares-Salas & Agustín Agüera-Pérez & Álvaro Jiménez Montero, 2015. "An Application of Spectral Kurtosis to Separate Hybrid Power Quality Events," Energies, MDPI, vol. 8(9), pages 1-17, September.
    2. Khan, O. & Xiao, W., 2017. "Review and qualitative analysis of submodule-level distributed power electronic solutions in PV power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 516-528.
    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. Paula Remigio-Carmona & Juan-José González-de-la-Rosa & Olivia Florencias-Oliveros & José-María Sierra-Fernández & Javier Fernández-Morales & Manuel-Jesús Espinosa-Gavira & Agustín Agüera-Pérez & José, 2022. "Current Status and Future Trends of Power Quality Analysis," Energies, MDPI, vol. 15(7), pages 1-18, March.
    2. Juan-José González de-la-Rosa & Manuel Pérez-Donsión, 2020. "Special Issue “Analysis for Power Quality Monitoring”," Energies, MDPI, vol. 13(3), pages 1-6, January.

    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. Ji-Hoon Lim & Dong-In Lee & Ye-Ji Hyeon & Jae-Hyuk Choi & Han-Shin Youn, 2022. "Differential Power Processing Converter with an Integrated Transformer and Secondary Switch for Power Generation Optimization of Multiple Photovoltaic Submodules," Energies, MDPI, vol. 15(3), pages 1-18, February.
    2. Alexandre Serrano-Fontova & Pablo Casals Torrens & Ricard Bosch, 2019. "Power Quality Disturbances Assessment during Unintentional Islanding Scenarios. A Contribution to Voltage Sag Studies," Energies, MDPI, vol. 12(16), pages 1-21, August.
    3. Rakshith, Bairi Levi & Asirvatham, Lazarus Godson & Angeline, Appadurai Anitha & Manova, Stephen & Bose, Jefferson Raja & Selvin Raj, J Perinba & Mahian, Omid & Wongwises, Somchai, 2022. "Cooling of high heat flux miniaturized electronic devices using thermal ground plane: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 170(C).
    4. Kamran Ali Khan Niazi & Yongheng Yang & Mashood Nasir & Dezso Sera, 2019. "Evaluation of Interconnection Configuration Schemes for PV Modules with Switched-Inductor Converters under Partial Shading Conditions," Energies, MDPI, vol. 12(14), pages 1-12, July.
    5. José-María Guerrero-Rodríguez & Clemente Cobos-Sánchez & Juan-José González-de-la-Rosa & Diego Sales-Lérida, 2019. "An Embedded Sensor Node for the Surveillance of Power Quality," Energies, MDPI, vol. 12(8), pages 1-20, April.
    6. Jawad Ahmad & Alessandro Ciocia & Stefania Fichera & Ali Faisal Murtaza & Filippo Spertino, 2019. "Detection of Typical Defects in Silicon Photovoltaic Modules and Application for Plants with Distributed MPPT Configuration," Energies, MDPI, vol. 12(23), pages 1-26, November.
    7. Misael Lopez-Ramirez & Luis Ledesma-Carrillo & Eduardo Cabal-Yepez & Carlos Rodriguez-Donate & Homero Miranda-Vidales & Arturo Garcia-Perez, 2016. "EMD-Based Feature Extraction for Power Quality Disturbance Classification Using Moments," Energies, MDPI, vol. 9(7), pages 1-15, July.
    8. Kamran Ali Khan Niazi & Yongheng Yang & Tamas Kerekes & Dezso Sera, 2021. "A Simple Mismatch Mitigating Partial Power Processing Converter for Solar PV Modules," Energies, MDPI, vol. 14(8), pages 1-18, April.
    9. Juan-José González-de-la-Rosa & Agustín Agüera-Pérez & José-Carlos Palomares-Salas & Olivia Florencias-Oliveros & José-María Sierra-Fernández, 2018. "A Dual Monitoring Technique to Detect Power Quality Transients Based on the Fourth-Order Spectrogram," Energies, MDPI, vol. 11(3), pages 1-12, February.
    10. Carlos Andres Ramos-Paja & Daniel Gonzalez Montoya & Juan David Bastidas-Rodriguez, 2018. "Sliding-Mode Control of Distributed Maximum Power Point Tracking Converters Featuring Overvoltage Protection," Energies, MDPI, vol. 11(9), pages 1-40, August.
    11. María-Ángeles Cifredo-Chacón & Fernando Perez-Peña & Ángel Quirós-Olozábal & Juan-José González-de-la-Rosa, 2019. "Implementation of Processing Functions for Autonomous Power Quality Measurement Equipment: A Performance Evaluation of CPU and FPGA-Based Embedded System," Energies, MDPI, vol. 12(5), pages 1-15, March.
    12. Ramli, Mohd Zulkifli & Salam, Zainal, 2019. "Performance evaluation of dc power optimizer (DCPO) for photovoltaic (PV) system during partial shading," Renewable Energy, Elsevier, vol. 139(C), pages 1336-1354.

    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:12:y:2019:i:1:p:194-:d:195876. 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.