IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2018i1p121-d194006.html
   My bibliography  Save this article

An Innovative Calibration Scheme for Interharmonic Analyzers in Power Systems under Asynchronous Sampling

Author

Listed:
  • Qiang Guo

    (Department of Electrical Engineering, Beihang University, Beijing 100191, China)

  • Jing Wu

    (Department of Electrical Engineering, Beihang University, Beijing 100191, China)

  • Haibin Jin

    (Department of Metrology, Beijing Orient Institute of Measurement and Test, Beijing 100086, China)

  • Cheng Peng

    (Department of Metrology, Beijing Orient Institute of Measurement and Test, Beijing 100086, China)

Abstract

Power-quality analyzers are commonly used in power systems to estimate waveform distortion, including the parameters of harmonics/interharmonics. In our study, a calibration scheme was developed and verified. This scheme is capable of calibrating the interharmonics specification of power-quality analyzers under asynchronous sampling. In our scheme, the hardware structure is composed of an interharmonic signal source, a wide-frequency resistive voltage divider, a broadband current shunt, and a data acquisition system. A new algorithm, based on discrete Fourier transform and interpolation, is presented. The procedure is implemented by LabVIEW software to process the sampling data and obtain the final interharmonic parameters. The test results of the amplitudes of the interharmonic current and voltage indicate that the calibration accuracy is 3.0‰ (16 Hz–6 kHz) and 6.8‰ (6 kHz–9 kHz) for the voltage signal, and 3.5‰ (16 Hz–6 kHz) and 6.5‰ (6 kHz–9 kHz) for the current signal. This index is higher than that acquired by the recommended methods in the International Electrotechnical Commission (IEC) standard.

Suggested Citation

  • Qiang Guo & Jing Wu & Haibin Jin & Cheng Peng, 2018. "An Innovative Calibration Scheme for Interharmonic Analyzers in Power Systems under Asynchronous Sampling," Energies, MDPI, vol. 12(1), pages 1-10, December.
    • Handle: RePEc:gam:jeners:v:12:y:2018:i:1:p:121-:d:194006
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/1/121/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/1/121/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Emmanuel Guillen-Garcia & Angel L. Zorita-Lamadrid & Oscar Duque-Perez & Luis Morales-Velazquez & Roque Alfredo Osornio-Rios & Rene De Jesus Romero-Troncoso, 2017. "Power Consumption Analysis of Electrical Installations at Healthcare Facility," Energies, MDPI, vol. 10(1), pages 1-14, January.
    2. Zhiguo Zhou & Ruliang Lin & Lifeng Wang & Yi Wang & Hansen Li, 2018. "Research on Discrete Fourier Transform-Based Phasor Measurement Algorithm for Distribution Network under High Frequency Sampling," Energies, MDPI, vol. 11(9), pages 1-13, August.
    3. Dionisis Voglitsis & Fotis Valsamas & Nick Rigogiannis & Nick Papanikolaou, 2018. "On the Injection of Sub/Inter-Harmonic Current Components for Active Anti-Islanding Purposes," Energies, MDPI, vol. 11(9), pages 1-19, August.
    4. Joon-Hyuck Moon & Sang-Hee Kang & Dong-Hun Ryu & Jae-Lim Chang & Soon-Ryul Nam, 2015. "A Two-Stage Algorithm to Estimate the Fundamental Frequency of Asynchronously Sampled Signals in Power Systems," Energies, MDPI, vol. 8(9), pages 1-14, August.
    5. Jierong Miao & Da Xie & Chenghong Gu & Xitian Wang, 2018. "Correlation Analysis between Wind Speed/Voltage Clusters and Oscillation Modes of Doubly-Fed Induction Generators," Energies, MDPI, vol. 11(9), pages 1-21, September.
    6. Masoud Ahmadipour & Hashim Hizam & Mohammad Lutfi Othman & Mohd Amran Mohd Radzi, 2018. "An Anti-Islanding Protection Technique Using a Wavelet Packet Transform and a Probabilistic Neural Network," Energies, MDPI, vol. 11(10), pages 1-31, October.
    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. Veerapandiyan Veerasamy & Noor Izzri Abdul Wahab & Rajeswari Ramachandran & Muhammad Mansoor & Mariammal Thirumeni & Mohammad Lutfi Othman, 2018. "High Impedance Fault Detection in Medium Voltage Distribution Network Using Discrete Wavelet Transform and Adaptive Neuro-Fuzzy Inference System," Energies, MDPI, vol. 11(12), pages 1-24, November.
    2. S. Ananda Kumar & M. S. P. Subathra & Nallapaneni Manoj Kumar & Maria Malvoni & N. J. Sairamya & S. Thomas George & Easter S. Suviseshamuthu & Shauhrat S. Chopra, 2020. "A Novel Islanding Detection Technique for a Resilient Photovoltaic-Based Distributed Power Generation System Using a Tunable-Q Wavelet Transform and an Artificial Neural Network," Energies, MDPI, vol. 13(16), pages 1-22, August.
    3. Piotr Gnaciński & Damian Hallmann & Piotr Klimczak & Adam Muc & Marcin Pepliński, 2021. "Effects of Voltage Interharmonics on Cage Induction Motors," Energies, MDPI, vol. 14(5), pages 1-13, February.
    4. Bo Pang & Heng Nian, 2019. "Improved Operation Strategy with Alternative Control Targets for Voltage Source Converter under Harmonically Distorted Grid Considering Inter-Harmonics," Energies, MDPI, vol. 12(7), pages 1-14, March.
    5. Menghua Liu & Wei Zhao & Qing Wang & Songling Huang & Kunpeng Shi, 2019. "Compatibility Issues with Irregular Current Injection Islanding Detection Methods and a Solution," Energies, MDPI, vol. 12(8), pages 1-20, April.
    6. Karthikeyan Subramanian & Ashok Kumar Loganathan, 2020. "Islanding Detection Using a Micro-Synchrophasor for Distribution Systems with Distributed Generation," Energies, MDPI, vol. 13(19), pages 1-31, October.
    7. Stéfano Frizzo Stefenon & Roberto Zanetti Freire & Leandro dos Santos Coelho & Luiz Henrique Meyer & Rafael Bartnik Grebogi & William Gouvêa Buratto & Ademir Nied, 2020. "Electrical Insulator Fault Forecasting Based on a Wavelet Neuro-Fuzzy System," Energies, MDPI, vol. 13(2), pages 1-19, January.
    8. Chen, Xiaoyuan & Chen, Yu & Zhang, Mingshun & Jiang, Shan & Gou, Huayu & Pang, Zhou & Shen, Boyang, 2021. "Hospital-oriented quad-generation (HOQG)—A combined cooling, heating, power and gas (CCHPG) system," Applied Energy, Elsevier, vol. 300(C).
    9. Baraldi, Piero & Castellano, Andrea & Shokry, Ahmed & Gentile, Ugo & Serio, Luigi & Zio, Enrico, 2020. "A Feature Selection-based Approach for the Identification of Critical Components in Complex Technical Infrastructures: Application to the CERN Large Hadron Collider," Reliability Engineering and System Safety, Elsevier, vol. 201(C).
    10. Masoud Ahmadipour & Hashim Hizam & Mohammad Lutfi Othman & Mohd Amran Mohd Radzi & Nikta Chireh, 2019. "A Fast Fault Identification in a Grid-Connected Photovoltaic System Using Wavelet Multi-Resolution Singular Spectrum Entropy and Support Vector Machine," Energies, MDPI, vol. 12(13), pages 1-18, June.
    11. Janusz Mindykowski & Tomasz Tarasiuk & Piotr Gnaciński, 2021. "Review of Legal Aspects of Electrical Power Quality in Ship Systems in the Wake of the Novelisation and Implementation of IACS Rules and Requirement," Energies, MDPI, vol. 14(11), pages 1-21, May.
    12. Mehdi Hosseinzadeh & Farzad Rajaei Salmasi, 2020. "Islanding Fault Detection in Microgrids—A Survey," Energies, MDPI, vol. 13(13), pages 1-28, July.
    13. Aristotelis Tsimtsios & Dionisis Voglitsis & Ioannis Perpinias & Christos Korkas & Nick Papanikolaou, 2019. "On the Conflict between LVRT and Line Protection in LV Distribution Systems with PVs: A Current-Limitation-Based Solution," Energies, MDPI, vol. 12(15), pages 1-20, July.
    14. Min-Sung Kim & Raza Haider & Gyu-Jung Cho & Chul-Hwan Kim & Chung-Yuen Won & Jong-Seo Chai, 2019. "Comprehensive Review of Islanding Detection Methods for Distributed Generation Systems," Energies, MDPI, vol. 12(5), pages 1-21, March.
    15. 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:12:y:2018:i:1:p:121-:d:194006. 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.