IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i17p4305-d401260.html
   My bibliography  Save this article

Influence of Insulating Material Properties on Partial Discharges at DC Voltage

Author

Listed:
  • Marek Florkowski

    (Department of Electrical and Power Engineering, AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Kraków, Poland)

Abstract

Understanding a partial discharge mechanism at direct current (DC) is an actual research topic that requires both modeling, simulations and measurements. This paper describes an influence of insulating material properties on partial discharges at DC voltage. Modifications of the traditional model reflecting the conditions of partial discharges (PD) inception and post discharge processes at DC voltage have been proposed. The aim was to show the partial discharge mechanisms and draw attention to the role of parameters of insulation materials adjacent to the cavity at DC voltage. The investigations were performed on two kinds of dielectric material used in power cables. Various combinations of specimens were designed to reveal the effect of the material resistivity on the PD activity. Key observations referred to the impact of the void adjacent material resistance on the partial discharge inception voltage threshold at DC voltage. The modified PD model was applied to analyze both inception and post discharge recovery stage. The role of dielectric properties of material adjacent to the void was investigated, highlighting its impact during static inception stage and in charging stage. Despite many simplifications introduced in the model, measurement results have confirmed the role of the dielectric material surrounding the void on partial discharge dynamics. The average time interval between PD pulses revealed a systematic relationship with respect to the applied voltage and specimen resistivity. This value can be considered in the future research for diagnostic indicator at DC voltage.

Suggested Citation

  • Marek Florkowski, 2020. "Influence of Insulating Material Properties on Partial Discharges at DC Voltage," Energies, MDPI, vol. 13(17), pages 1-17, August.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:17:p:4305-:d:401260
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/17/4305/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/13/17/4305/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Marek Florkowski & Dariusz Krześniak & Maciej Kuniewski & Paweł Zydroń, 2020. "Partial Discharge Imaging Correlated with Phase-Resolved Patterns in Non-Uniform Electric Fields with Various Dielectric Barrier Materials," Energies, MDPI, vol. 13(11), pages 1-15, May.
    2. Mehrtash Azizian Fard & Mohamed Emad Farrag & Alistair Reid & Faris Al-Naemi, 2019. "Electrical Treeing in Power Cable Insulation under Harmonics Superimposed on Unfiltered HVDC Voltages," Energies, MDPI, vol. 12(16), pages 1-15, August.
    3. Aditya Shekhar & Xianyong Feng & Angelo Gattozzi & Robert Hebner & Douglas Wardell & Shannon Strank & Armando Rodrigo-Mor & Laura Ramírez-Elizondo & Pavol Bauer, 2017. "Impact of DC Voltage Enhancement on Partial Discharges in Medium Voltage Cables—An Empirical Study with Defects at Semicon-Dielectric Interface," Energies, MDPI, vol. 10(12), pages 1-18, November.
    4. Thomas Götz & Hannah Kirchner & Karsten Backhaus, 2020. "Partial Discharge Behaviour of a Protrusion in Gas-Insulated Systems under DC Voltage Stress," Energies, MDPI, vol. 13(12), pages 1-21, June.
    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. Marek Florkowski & Maciej Kuniewski, 2023. "Analysis of Space Charge Signal Spatial Resolution Determined with PEA Method in Flat Samples including Attenuation Effects," Energies, MDPI, vol. 16(8), pages 1-16, April.
    2. Marek Florkowski & Maciej Kuniewski, 2023. "Partial Discharge-Originated Deterioration of Insulating Material Investigated by Surface-Resistance and Potential Mapping," Energies, MDPI, vol. 16(16), pages 1-17, August.
    3. Alexander S. Karandaev & Igor M. Yachikov & Andrey A. Radionov & Ivan V. Liubimov & Nikolay N. Druzhinin & Ekaterina A. Khramshina, 2022. "Fuzzy Algorithms for Diagnosis of Furnace Transformer Insulation Condition," Energies, MDPI, vol. 15(10), pages 1-21, May.

    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. Ondřej Kozák & Josef Pihera, 2021. "Partial Discharge Analysis and Simulation Using the Consecutive Pulses Correlation Method," Energies, MDPI, vol. 14(9), pages 1-15, April.
    2. Marek Florkowski, 2021. "Anomaly Detection, Trend Evolution, and Feature Extraction in Partial Discharge Patterns," Energies, MDPI, vol. 14(13), pages 1-18, June.
    3. 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.
    4. Marek Florkowski, 2023. "Effect of Interplay between Parallel and Perpendicular Magnetic and Electric Fields on Partial Discharges," Energies, MDPI, vol. 16(13), pages 1-16, June.
    5. Alper Aydogan & Fatih Atalar & Aysel Ersoy Yilmaz & Pawel Rozga, 2020. "Using the Method of Harmonic Distortion Analysis in Partial Discharge Assessment in Mineral Oil in a Non-Uniform Electric Field," Energies, MDPI, vol. 13(18), pages 1-18, September.
    6. Issouf Fofana & Stephan Brettschneider, 2022. "Outdoor Insulation and Gas-Insulated Switchgears," Energies, MDPI, vol. 15(21), pages 1-7, November.
    7. Chengjie Zhang & Yuan Li & Senhong Yang & Ranran Li, 2023. "Study on Development Characteristics of Partial Discharge in Oil-Pressboard Insulation under Constant DC Voltage," Energies, MDPI, vol. 16(10), pages 1-14, May.
    8. Marek Florkowski, 2020. "Classification of Partial Discharge Images Using Deep Convolutional Neural Networks," Energies, MDPI, vol. 13(20), pages 1-17, October.
    9. Mehmet Murat Ispirli & Özcan Kalenderli & Florian Seifert & Michael Rock & Bülent Oral, 2022. "The Effect of DC Voltage Pre-Stress on the Breakdown Voltage of Air under Composite DC and LI Voltage and Test Circuit: Design and Application," Energies, MDPI, vol. 15(4), pages 1-23, February.
    10. Huangjing Gu & Yongkang Zhang & Bin Shen & Ziqi Liu & Yunjie Zhou & Xiaodi Wang & Xinyang Zhu & Yalin Wang, 2023. "Improved Isothermal Relaxation Current Measurement Based on Isolated Circuit for Nondestructive Evaluation of High-Voltage Cable Insulation," Energies, MDPI, vol. 16(23), pages 1-18, December.

    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:13:y:2020:i:17:p:4305-:d:401260. 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.