Dielectric Spectroscopy of Aqueous Insulating Oil Based on Maxwell-Wagner Modified Model

被引:0
|
作者
Qian, Jiangbo [1 ]
Zhang, Zhilin [1 ]
Peng, Cheng [1 ]
Shao, Liwei [2 ]
Li, Gengda [3 ]
机构
[1] North China Elect Power Univ, Hebei Key Lab Low Carbon & Efficient Power Generat, Baoding 071066, Peoples R China
[2] Beijing Inst Technol, Beijing 100081, Peoples R China
[3] New Energy Technol Res Inst Co Ltd, Natl Energy Grp, Beijing 102209, Peoples R China
关键词
Oils; Dielectrics; Moisture; Mathematical models; Power transformer insulation; Oil insulation; Dielectric measurement; Complex dielectric constant; insulating oil; Maxwell-Wagner; transformers; SENSOR; WATER; DIAGNOSIS;
D O I
10.1109/TDEI.2024.3448396
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The dielectric characteristics of aqueous insulating oil has an important impact on the safe operation of transformers. In this article, the integration method is used to modify the Maxwell-Wanger nonuniform dielectric model to make it suitable for aqueous insulating oil, and the reliability of the new model is verified. The experimental results show that when the water content is 20 ppm, the maximum error of the real part of the complex dielectric constant of the insulating oil does not exceed 0.0541%, and the maximum error of the imaginary part does not exceed 1.076%. Finally, based on this model, the dielectric spectrum of the aqueous insulating oil is obtained, the variation law of the real part and the imaginary part of the aqueous insulating oil under different conditions is revealed, and the internal reasons for the dielectric properties of the aqueous insulating oil with temperature, frequency, and moisture content are analyzed, which provides an important reference data for evaluation and online monitoring of insulation performance of the aqueous insulating oil.
引用
收藏
页码:2564 / 2571
页数:8
相关论文
共 28 条
  • [1] Experimental investigation on Dielectric Spectroscopy of Insulating Paper and Oil
    Chen, X.
    Morshuis, P. H. F.
    Lennon, B.
    Smit, J. J.
    2010 ANNUAL REPORT CONFERENCE ON ELECTRICAL INSULATION AND DIELECTIC PHENOMENA, 2010,
  • [2] A modified Electrical conductivity model for insulating oil-based nanofluids
    Miao, Jin
    Dong, Ming
    Shen, Liang-Ping
    PROCEEDINGS OF 2012 IEEE INTERNATIONAL CONFERENCE ON CONDITION MONITORING AND DIAGNOSIS (IEEE CMD 2012), 2012, : 1126 - 1129
  • [4] Suitability of Palm Based Oil as Dielectric Insulating Fluid in Transformers
    Azis, Norhafiz
    Jasni, Jasronita
    Ab Kadir, Mohd Zainal Abidin
    Mohtar, Mohd Nazim
    JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2014, 9 (02) : 662 - 669
  • [5] Analysing of insulating system oil-paper of power transformers by frequency dielectric spectroscopy
    Brncal, Peter
    Gutten, Miroslav
    Korenciak, Daniel
    Sebok, Milan
    Koltunowicz, Tomasz N.
    Zukowski, Pawel
    13TH INTERNATIONAL CONFERENCE ON ELEKTRO (ELEKTRO 2020), 2020,
  • [6] Insulating and thermal aging dielectric properties dependency of transformer oil using spectroscopy techniques
    Belmecheri H.
    Seghier T.
    Belkheiri M.
    Zegnini B.
    Instrumentation Mesure Metrologie, 2019, 18 (04): : 337 - 342
  • [7] Effect of Iron/Titania-Based Nanomaterials on the Dielectric Properties of Mineral Oil, Natural and Synthetic Esters as Transformers Insulating Fluid
    Khan, Suhaib Ahmad
    Tariq, Mohd
    Khan, Asfar Ali
    Alamri, Basem
    IEEE ACCESS, 2021, 9 : 168971 - 168980
  • [8] Development of a Tissue Dielectric Properties Model Based on Maxwell-Fricke Mixture Theory
    Etoz, Sevde
    Greisch, William
    Brace, Christopher L.
    PROCEEDINGS OF THE 2018 IEEE/MTT-S INTERNATIONAL MICROWAVE BIOMEDICAL CONFERENCE (IMBIOC), 2018, : 22 - 24
  • [9] Analysis of Relaxation Process of Insulating Oil Based on Dielectric Response in Time and Frequency Domain
    Xu Q.
    Wang S.
    Lin F.
    Li H.
    Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 2022, 37 (09): : 2355 - 2365
  • [10] Extracting Frequency Spectroscopy of Oil-Immersed Paper Based on Havriliak-Negami Model Without Known Insulation Structure of Transformer
    Xu, Qingchuan
    Wang, Shengkang
    Lin, Fuchang
    Li, Hua
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 71