Health index for power transformer condition assessment based on operation history and test data

被引:14
|
作者
Guo, Hong [1 ]
Guo, Lei [2 ]
机构
[1] Northwest Univ, Sch Econ & Management, Xian, Peoples R China
[2] State Grid Shaanxi Elect Power Co, Xian, Peoples R China
关键词
Transformers; Condition assessment; Health index model; Sustainable operation;
D O I
10.1016/j.egyr.2022.07.041
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Transformers are key equipment in a power grid. The stability of the power system is depending more and more on the safety and reliability of transformers. Health Index (HI) is a practical tool that combines complex condition data into a single value as a comparative indication of the overall condition of a transformer. Most of the existing health index procedures are based on laboratory or on-site test data, with few considering the actual operating time. In this research, a comprehensive assessment method of transformer operating condition is proposed. Based on the HI model, this method the first considers the aging process of the transformer insulation as well as the load and operating environment to form the theoretical health index HI1. The aging process is characterized by the operating time of the transformer, the load rate, and the pollution level. The test health index HI2 is then formed based on on-site tests. The final health index HI is obtained with the combination of HI1 and HI2 to characterize the health condition of the transformer. To make sure the proposed method can be readily adapted in the field, only traditional parameters with well-established interpretations are required. This method has been applied to assess multiple 330kV transformers in service and provided a useful method to transformer asset management. (C) 2022 The Author(s). Published by Elsevier Ltd.
引用
收藏
页码:9038 / 9045
页数:8
相关论文
共 50 条
  • [1] Condition Assessment of the Health Index for Power Transformer
    Haema, Juthathip
    Phadungthin, Rattanakorn
    2012 POWER ENGINEERING AND AUTOMATION CONFERENCE (PEAM), 2012, : 550 - 553
  • [2] Condition Assessment for Power Transformer Using Health Index
    Wang Jian
    Wu Kuihua
    Zhu Wenbing
    Gu Chao
    2017 2ND ASIA CONFERENCE ON POWER AND ELECTRICAL ENGINEERING (ACPEE 2017), 2017, 199
  • [3] The New Developed Health Index for Power Transformer Condition Assessment
    Wang Jian
    Zhu Wenbing
    Gu Chao
    Bai Demeng
    Wu Kuihua
    2020 5TH ASIA CONFERENCE ON POWER AND ELECTRICAL ENGINEERING (ACPEE 2020), 2020, : 1880 - 1884
  • [4] Health Index for Transformer Condition Assessment
    Arias, R.
    Mejia, J.
    IEEE LATIN AMERICA TRANSACTIONS, 2018, 16 (12) : 2843 - 2849
  • [5] Health Index Analysis of Power Transformer with Incomplete Paper Condition Data
    Prasojo, Rahman Azis
    Maulidevi, Nur Ulfa
    Soedjarno, Bambang Anggoro
    Suwarno
    4TH INTERNATIONAL CONFERENCE ON CONDITION ASSESSMENT TECHNIQUES IN ELECTRICAL SYSTEMS (CATCON 2019), 2019,
  • [6] Application of Health Index Method for Transformer Condition Assessment
    Hernanda, I. G. N. Satriyadi
    Mulyana, A. C.
    Asfani, D. A.
    Negara, I. M. Y.
    Fahmi, Daniar
    TENCON 2014 - 2014 IEEE REGION 10 CONFERENCE, 2014,
  • [7] The New Developed Health Index for Transformer Condition Assessment
    Wattakapaiboon, W.
    Pattanadech, N.
    2016 INTERNATIONAL CONFERENCE ON CONDITION MONITORING AND DIAGNOSIS (CMD), 2016, : 32 - 35
  • [8] Condition Assessment of Power Transformers Based on Health Index Value
    Bohatyrewicz, Patryk
    Plowucha, Janusz
    Subocz, Jan
    APPLIED SCIENCES-BASEL, 2019, 9 (22):
  • [9] Health Index Based Condition Monitoring of Distribution Transformer
    Jaiswal, Gajanan C.
    Ballal, Makarand Sudhakar
    Tutakne, D. R.
    2016 IEEE INTERNATIONAL CONFERENCE ON POWER ELECTRONICS, DRIVES AND ENERGY SYSTEMS (PEDES), 2016,
  • [10] A Transformer Operation State Assessment Method Based on Virtual and Real Symbiotic Data of Power Grid and Transformer
    Zhang, Peng
    Zhang, Guoliang
    Xia, Weishang
    Gan, Jinrui
    Lv, Shunli
    Chen, Long
    Liu, Xin
    Ma, Huan
    Ge, Jian
    2024 THE 7TH INTERNATIONAL CONFERENCE ON ENERGY, ELECTRICAL AND POWER ENGINEERING, CEEPE 2024, 2024, : 94 - 98