Numerical Methods for Multiphysics Modeling of Plasma Due to Electrical Discharge

被引:0
|
作者
Thanua, Nisha [1 ]
Kumbhar, Ganesh B. [1 ]
机构
[1] IIT Roorkee, Dept Elect Engn, Roorkee 247667, India
关键词
Charge transport; electric field; electrical discharge; plasma; power transformer; space charge; surface charge density; thermal aging; CAVITY;
D O I
10.1109/TPS.2024.3387118
中图分类号
O35 [流体力学]; O53 [等离子体物理学];
学科分类号
070204 ; 080103 ; 080704 ;
摘要
Condition monitoring of the insulation system is an important tool for monitoring the insulation performance. One of the important diagnostic tools used for condition monitoring of the insulation system is the electrical discharge measurements. Various experimental works have been done in this regard; however, the micromechanism of charge migration and electric field distortion is still not clear. The simulation studies offer this advantage as the microscopic mechanisms and conditions influencing discharge events can be easily monitored. In this article, various numerical methods used for discharge modeling in terms of plasma-based electrical discharge are discussed, along with their applicability using multiphysics coupling. From the models discussed, the most suitable model is chosen to simulate the discharge characteristics under various conditions. The effects of void shape distortion on charge distribution and electric field distortion inside the void region and the insulation materials are discussed, indicating that when the void gets distorted in the direction of the electric field, the probability of discharge increases because of more migration of ions. The effect of thermal aging on the field and charge distribution is also analyzed using different insulating materials, and a comparative analysis is done. This study thus helps in understanding the physical mechanism of discharge dynamics and provides a theoretical reference helpful in maintaining and achieving optimum performance of transformer insulation.
引用
收藏
页码:1539 / 1545
页数:7
相关论文
共 50 条
  • [31] Numerical modeling of electrical discharge machining of Ti-6A1-4V
    Wu, Han
    Ma, Jianfeng
    Meng, Qingling
    Jahan, Muhammad P.
    Alavi, Farshid
    46TH SME NORTH AMERICAN MANUFACTURING RESEARCH CONFERENCE, NAMRC 46, 2018, 26 : 359 - 371
  • [32] Numerical modeling of adaptive minefill operation: Leverage of multiphysics interactions
    Ding, P. P.
    Sasmito, A. P.
    Tavanaei, F.
    Meguid, M. A.
    Hassani, F. P.
    Lu, G. D.
    COMPUTERS AND GEOTECHNICS, 2024, 173
  • [33] Numerical Modeling of the Flow around a Cylinder using FEATool Multiphysics
    Ali, Binahi M. A. Said
    Suleimany, Jehan M. Sheikh
    Ibrahim, Safa S.
    ENGINEERING TECHNOLOGY & APPLIED SCIENCE RESEARCH, 2023, 13 (04) : 11290 - 11297
  • [34] Numerical Multiphysics Modeling of Temperature Rises in Gas Insulated Busbars
    Rebzani, Nesrine
    Clavel, Edith
    Marty, Philippe
    Morin, Aurelie
    IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION, 2016, 23 (05) : 2579 - 2586
  • [35] Modeling of gas discharge plasma
    Smirnov, B. M.
    PHYSICS-USPEKHI, 2009, 52 (06) : 559 - 571
  • [36] Electrical modeling of dielectric barrier discharge considering surface charge on the plasma modified material
    关弘路
    陈向荣
    江铁
    杜浩
    Ashish Paramane
    周浩
    Chinese Physics B, 2020, 29 (07) : 449 - 454
  • [37] Electrical modeling of dielectric barrier discharge considering surface charge on the plasma modified material*
    Guan, Hong-Lu
    Chen, Xiang-Rong
    Jiang, Tie
    Du, Hao
    Paramane, Ashish
    Zhou, Hao
    CHINESE PHYSICS B, 2020, 29 (07)
  • [38] Deep Learning Sequence Methods in Multiphysics Modeling of Steel Solidification
    Koric, Seid
    Abueidda, Diab W.
    METALS, 2021, 11 (03) : 1 - 13
  • [39] ELECTRICAL DISCHARGE PLASMA WITH WATER SPRAY
    Locke, B. R.
    4TH INTERNATIONAL CONGRESS ON COLD ATMOSPHERIC PRESSURE PLASMAS: SOURCES AND APPLICATIONS, PROCEEDINGS, 2009, : 62 - 65
  • [40] Modeling and simulation of electrical discharge machining
    Weingaertner, E.
    Kuster, F.
    Wegener, K.
    1ST CIRP GLOBAL WEB CONFERENCE: INTERDISCIPLINARY RESEARCH IN PRODUCTION ENGINEERING (CIRPE2012), 2012, 2 : 74 - 78