IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i7p1702-d155499.html
   My bibliography  Save this article

Feature Extraction and Comprehension of Partial Discharge Characteristics in Transformer Oil from Rated AC Frequency to Very Low Frequency

Author

Listed:
  • Zhongliu Zhou

    (State Key Lab of Electrical Power System, Department of Electrical Engineering, Tsinghua University, Beijing 100084, China)

  • Yuanxiang Zhou

    (State Key Lab of Electrical Power System, Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
    School of Electrical Engineering, Xinjiang University, Urumqi 830047, China)

  • Xin Huang

    (State Key Lab of Electrical Power System, Department of Electrical Engineering, Tsinghua University, Beijing 100084, China)

  • Yunxiao Zhang

    (State Key Lab of Electrical Power System, Department of Electrical Engineering, Tsinghua University, Beijing 100084, China)

  • Mingyuan Wang

    (State Grid Jibei Electric Economic Research Institute, Beijing 100045, China)

  • Shaowei Guo

    (North China Electric Power Research Institute Co., Ltd., Beijing 100045, China)

Abstract

The reactive current can be reduced effectively by decreasing the frequency of the voltage in partial discharge (PD) test, especially for equipment with large capacitance. Thus, the cost and volume of the test power supply can be economized. To figure out the difference of PD characteristics in transformer oil between rated alternating-current (AC) frequency (50 Hz) and low frequency, tests are conducted from rated AC frequency to very low frequency (0.1 Hz) based on impulse current method. The results show that with the decrease of frequency, the inception voltage increases. The maximum and mean magnitude of discharge and pulse repetition rate first increase slightly, then decrease obviously. The main features of the variation of phase resolved PD (PRPD) patterns, discharge statistical patterns (phase distribution of maximum and mean discharge magnitude, pulse repetition rate q max – φ , q mean – φ , n – φ ; and number distribution of discharge magnitude n – q ), and their characteristic parameters (skewness S k + , S k − ; kurtosis K u + , K u − ; asymmetry A sy ; and correlation coefficient C c ) are depicted in detail, which should be paid attention to when using low frequency voltage. The inner mechanism for these variations is discussed from the aspects of the influence on electric field distribution and discharge process of frequency. Additionally, the variation trend of PD characteristics with the decrease of frequency can provide more information about insulation defect, which can be the supplement for discharge mode recognition.

Suggested Citation

  • Zhongliu Zhou & Yuanxiang Zhou & Xin Huang & Yunxiao Zhang & Mingyuan Wang & Shaowei Guo, 2018. "Feature Extraction and Comprehension of Partial Discharge Characteristics in Transformer Oil from Rated AC Frequency to Very Low Frequency," Energies, MDPI, vol. 11(7), pages 1-17, July.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:7:p:1702-:d:155499
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/7/1702/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/11/7/1702/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Juan Velasco & Ricardo Frascella & Ricardo Albarracín & Juan Carlos Burgos & Ming Dong & Ming Ren & Li Yang, 2018. "Comparison of Positive Streamers in Liquid Dielectrics with and without Nanoparticles Simulated with Finite-Element Software," Energies, MDPI, vol. 11(2), pages 1-16, February.
    2. Abderrahmane Beroual & Usama Khaled & Phanuel Seraphine Mbolo Noah & Henry Sitorus, 2017. "Comparative Study of Breakdown Voltage of Mineral, Synthetic and Natural Oils and Based Mineral Oil Mixtures under AC and DC Voltages," Energies, MDPI, vol. 10(4), pages 1-17, April.
    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. Piotr Przybylek, 2023. "Determination of Mineral Oil Concentration in the Mixture with Synthetic Ester Using Near-Infrared Spectroscopy," Energies, MDPI, vol. 16(17), pages 1-12, September.
    2. Issouf Fofana & U. Mohan Rao, 2018. "Engineering Dielectric Liquid Applications," Energies, MDPI, vol. 11(10), pages 1-4, October.
    3. Fatih Atalar & Aysel Ersoy & Pawel Rozga, 2022. "Investigation of Effects of Different High Voltage Types on Dielectric Strength of Insulating Liquids," Energies, MDPI, vol. 15(21), pages 1-25, October.
    4. Pawel Rozga & Abderrahmane Beroual & Piotr Przybylek & Maciej Jaroszewski & Konrad Strzelecki, 2020. "A Review on Synthetic Ester Liquids for Transformer Applications," Energies, MDPI, vol. 13(23), pages 1-33, December.
    5. Bartlomiej Pasternak & Pawel Rozga, 2023. "Influence of Dielectric Liquid Type on Partial-Discharge Inception Voltage in Oil-Wedge-Type Insulating System under AC Stress," Energies, MDPI, vol. 16(2), pages 1-11, January.
    6. Grzegorz Dombek & Jarosław Gielniak, 2023. "Dielectric Properties and Fire Safety of Mineral Oil and Low-Viscosity Natural Ester Mixtures in Various Concentrations," Energies, MDPI, vol. 16(10), pages 1-14, May.
    7. M. Z. H. Makmud & H. A. Illias & C. Y. Chee & M. S. Sarjadi, 2018. "Influence of Conductive and Semi-Conductive Nanoparticles on the Dielectric Response of Natural Ester-Based Nanofluid Insulation," Energies, MDPI, vol. 11(2), pages 1-12, February.
    8. Przemyslaw Goscinski & Zbigniew Nadolny & Andrzej Tomczewski & Ryszard Nawrowski & Tomasz Boczar, 2023. "The Influence of Heat Transfer Coefficient α of Insulating Liquids on Power Transformer Cooling Systems," Energies, MDPI, vol. 16(6), pages 1-15, March.
    9. Reza Aghayari & Heydar Maddah & Mohammad Hossein Ahmadi & Wei-Mon Yan & Nahid Ghasemi, 2018. "Measurement and Artificial Neural Network Modeling of Electrical Conductivity of CuO/Glycerol Nanofluids at Various Thermal and Concentration Conditions," Energies, MDPI, vol. 11(5), pages 1-16, May.
    10. Abi Munajad & Cahyo Subroto & Suwarno, 2017. "Study on the Effects of Thermal Aging on Insulating Paper for High Voltage Transformer Composite with Natural Ester from Palm Oil Using Fourier Transform Infrared Spectroscopy (FTIR) and Energy Disper," Energies, MDPI, vol. 10(11), pages 1-15, November.
    11. Marek Florkowski & Maciej Kuniewski & Paweł Zydroń, 2022. "Measurements and Analysis of Partial Discharges at HVDC Voltage with AC Components," Energies, MDPI, vol. 15(7), pages 1-11, March.
    12. Maciej Zdanowski, 2020. "Electrostatic Charging Tendency Analysis Concerning Retrofilling Power Transformers with Envirotemp FR3 Natural Ester," Energies, MDPI, vol. 13(17), pages 1-11, August.
    13. Maciej Zdanowski, 2020. "Streaming Electrification of Nycodiel 1255 Synthetic Ester and Trafo EN Mineral Oil Mixtures by Using Rotating Disc Method," Energies, MDPI, vol. 13(23), pages 1-14, November.
    14. Hidir Duzkaya & Abderrahmane Beroual, 2020. "Statistical Analysis of AC Dielectric Strength of Natural Ester-Based ZnO Nanofluids," Energies, MDPI, vol. 14(1), pages 1-11, December.
    15. Mauricio Aljure & Marley Becerra & Mattias E. Karlsson, 2018. "Streamer Inception from Ultra-Sharp Needles in Mineral Oil Based Nanofluids," Energies, MDPI, vol. 11(8), pages 1-14, August.
    16. Pawel Rozga & Marcin Stanek & Bartlomiej Pasternak, 2018. "Characteristics of Negative Streamer Development in Ester Liquids and Mineral Oil in a Point-To-Sphere Electrode System with a Pressboard Barrier," Energies, MDPI, vol. 11(5), pages 1-13, April.
    17. Ningchuan Liang & Ruijin Liao & Min Xiang & Yang Mo & Yuan Yuan, 2018. "Effect of Nano Al 2 O 3 Doping on Thermal Aging Properties of Oil-Paper Insulation," Energies, MDPI, vol. 11(5), pages 1-12, May.

    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:11:y:2018:i:7:p:1702-:d:155499. 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.