Pole Mounted Distribution Transformers Insulation Condition Assessment

被引:0
|
作者
Noirhomme, B. [1 ]
Jalbert, J. [1 ]
Lessard, M. -C. [1 ]
Brochu, F. [1 ]
Hachichi, S. [2 ]
机构
[1] Hydroquebec IREQ, Varennes, PQ, Canada
[2] Hydro Quebec Distribut, Evolut Reseau, Montreal, PQ, Canada
关键词
Overhead transformers; insulation; gas analysis; refurbishment; service age; degree of polymerization (DPv);
D O I
暂无
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
Hydro-Quebec (HQ) Distribution grid has close to 600,000 overhead distribution transformers in service. On average, every year 10,000 units are taken out of service for various reasons such as failures, replacement due to load rise and network reconfiguration. In 2006/07, HQ Distribution started a refurbishment program to give them a second life on the distribution grid. It is neither acceptable nor efficient to proceed with the refurbishment of a transformer having a degraded solid insulation and consequently an expected low residual life. In 2010, a project was started to assess the condition of the insulation of different service-aged transformers. 121 distributions transformers were randomly sampled from the units sent for refurbishment. Samples were taken from the following manufacturing year ranges: before 1985, 1985-1989, 1990- 1994, 1995-1999, 2000-2004 and 2005-2010. In this evaluation, oil samples were taken from each transformer to assess oil quality and transformer condition. Paper sampled from the coils, were also taken in specific cases amongst the faulty transformers. The preliminary conclusions that can be drawn from this study are that transformers manufactured after 1985 do not seem to experience any major aging with respect to their insulation. It therefore appears that if no faults are present, the transformers should be refurbished since the insulation basically in a good condition.
引用
收藏
页码:239 / 243
页数:5
相关论文
共 50 条
  • [31] EXPERIMENTAL-DETERMINATION OF THE EFFECTS OF STEEP FRONT SHORT DURATION SURGES ON 25 KVA POLE MOUNTED DISTRIBUTION TRANSFORMERS
    EICHLER, CH
    LEGRO, JR
    BARNES, PR
    IEEE TRANSACTIONS ON POWER DELIVERY, 1989, 4 (02) : 1103 - 1110
  • [32] Fuzzy Logic-Based Spectroscopic Analysis for Condition Assessment of Distribution Transformers
    Raj, Nithin
    Gopinath, Dinesh
    Aryanandiny, B.
    Pillai, S. Savitha
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2024, 60 (03) : 4968 - 4977
  • [33] Condition Assessment of Paper Insulation in Oil-Immersed Power Transformers Based on the Iterative Inversion of Resistivity
    Ruan, Jiangjun
    Jin, Shuo
    Du, Zhiye
    Xie, Yiming
    Zhu, Lin
    Tian, Yu
    Gong, Ruohan
    Li, Guannan
    Xiong, Min
    ENERGIES, 2017, 10 (04):
  • [34] Multifactorial condition assessment for power transformers
    Zhou, Lintao
    Hu, Tao
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2020, 14 (09) : 1607 - 1615
  • [35] Identification of the main insulation residual resource for distribution transformers
    Serebryakov A.S.
    Semenov D.A.
    Russ Electr Eng, 2013, 6 (297-302): : 297 - 302
  • [36] Microcontroller Based Solid State On-Load Tap Changer for Pole Mounted Transformers
    Richardson, Milton T.
    Henry, George A.
    Mckennon, Nicalos R.
    SOUTHEASTCON 2021, 2021, : 545 - 548
  • [37] Grey Relational Analysis for Insulation Condition Assessment of Power Transformers Based Upon Conventional Dielectric Response Measurement
    Liu, Jiefeng
    Zheng, Hanbo
    Zhang, Yiyi
    Wei, Hua
    Liao, Ruijin
    ENERGIES, 2017, 10 (10):
  • [38] Reliability Assessment of Insulation System for Dry Type Transformers
    Wen, Minmin
    Song, Jiancheng
    Song, Yuan
    Liu, Yuan
    Li, Chuanyang
    Wang, Peng
    IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION, 2013, 20 (06) : 1998 - 2008
  • [39] A review of health index-based condition assessment techniques for power and distribution transformers
    Wani, N. U., I
    Ranga, C.
    INSIGHT, 2023, 65 (11) : 625 - 630
  • [40] Insulation condition assessment of HV cables
    Su, Q.
    PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON CONDITION MONITORING AND DIAGNOSIS, 2007, : 1127 - 1131