IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i6p1052-d215136.html
   My bibliography  Save this article

Noise Reduction of Power Quality Measurements with Time-Frequency Depth Analysis

Author

Listed:
  • Petar Mostarac

    (Department of Fundamentals of Electrical Engineering and Measurement, Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb 10 000, Croatia)

  • Roman Malarić

    (Department of Fundamentals of Electrical Engineering and Measurement, Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb 10 000, Croatia)

  • Katarina Mostarac

    (Department of Postal Transport, Faculty of Transport and Traffic Sciences, University of Zagreb, Zagreb 10 000, Croatia)

  • Marko Jurčević

    (Department of Fundamentals of Electrical Engineering and Measurement, Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb 10 000, Croatia)

Abstract

This paper presents the noise reduction of power quality measurement with time-frequency (T-F) depth analysis. Noise reduction is achieved with wavelet transformation by decomposition, thresholding and lossless reconstruction of signal. Three main problems with T-F noise reduction with wavelet transformation are: defining thresholding levels, level of decomposition and number of wavelet vanishing moment. In this analysis decomposition level and number of vanishing moments are defined via simulation for pure sinusoid signal, these values are used for signals with perturbations and they provide reasonable results. Analysis is conducted by simulating various change of parameters and then approved by laboratory measurement with calibrators and precision measurement equipment. The paper describes a method for noise reduction of signal without prior knowledge of noise level or signal amplitude. Proposed method is able to separate noise without adding phase shift for diverse signal conditions, harmonics, interharmonics, dips, swells and dynamic variations.

Suggested Citation

  • Petar Mostarac & Roman Malarić & Katarina Mostarac & Marko Jurčević, 2019. "Noise Reduction of Power Quality Measurements with Time-Frequency Depth Analysis," Energies, MDPI, vol. 12(6), pages 1-19, March.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:6:p:1052-:d:215136
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/6/1052/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/6/1052/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Romuald Masnicki, 2017. "Validation of the Measurement Characteristics in an Instrument for Power Quality Estimation—A Case Study," Energies, MDPI, vol. 10(4), pages 1-16, 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. Stefano Lodetti & Jorge Bruna & Julio J. Melero & José F. Sanz, 2019. "Wavelet Packet Decomposition for IEC Compliant Assessment of Harmonics under Stationary and Fluctuating Conditions," Energies, MDPI, vol. 12(22), pages 1-15, November.

    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. Artur Felipe da Silva Veloso & José Valdemir Reis Júnior & Ricardo de Andrade Lira Rabelo & Jocines Dela-flora Silveira, 2021. "HyDSMaaS: A Hybrid Communication Infrastructure with LoRaWAN and LoraMesh for the Demand Side Management as a Service," Future Internet, MDPI, vol. 13(11), pages 1-45, October.
    2. Eduardo Viciana & Alfredo Alcayde & Francisco G. Montoya & Raul Baños & Francisco M. Arrabal-Campos & Antonio Zapata-Sierra & Francisco Manzano-Agugliaro, 2018. "OpenZmeter: An Efficient Low-Cost Energy Smart Meter and Power Quality Analyzer," Sustainability, MDPI, vol. 10(11), pages 1-13, November.
    3. Boyu Qin & Haixiang Gao & Jin Ma & Wei Li & Albert Y. Zomaya, 2018. "An Input-to-State Stability-Based Load Restoration Approach for Isolated Power Systems," Energies, MDPI, vol. 11(3), pages 1-17, March.
    4. Andrzej Łebkowski, 2018. "Reduction of Fuel Consumption and Pollution Emissions in Inland Water Transport by Application of Hybrid Powertrain," Energies, MDPI, vol. 11(8), pages 1-16, July.

    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:6:p:1052-:d:215136. 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.