Outage data analysis of utility power transformers based on outage reports during 2002-2009

被引:17
|
作者
Abdelfatah, M. [1 ]
EL-Shimy, M. [2 ]
Ismail, H. M. [2 ]
机构
[1] EETC, Minist Elect, Elect Testing & Transformers Sect, Cairo, Egypt
[2] Ain Shams Univ, Fac Engn, Elect Power & Machines Dept, Cairo 11517, Egypt
关键词
Power transformers; Transformer failure; Outage data; Forced outage; Customer interruption; Transformer protection;
D O I
10.1016/j.ijepes.2012.10.060
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
Statistical analysis of failures and forced outages of power transformers constitute an important basis for asset management of these transformers. Results of the statistical analysis can be used, for example, to enhance utility reliability, influence transformer design and technology, and improve maintenance and condition monitoring practices. In addition, various methods for transformer reliability evaluation require that the expected values of component outage rates, outage durations, and repair durations be known. In this paper, outage data are obtained from the Egyptian Electricity Transmission Company (EETC). This work presents outage data analysis over eight years, from 2002 to 2009, for 1922 (average number) transformers in voltage populations ranging from 33 kV to 500 kV and MVA rating from 5 MVA to 500 MVA. Forced outages due to correct and false action of transformer's protection systems are carefully considered. Outage data analysis is conducted according to two basic phases. In the first phase, failure and repair analysis of transformers is performed while in the second phase impact of transformer outages on customers is assessed. Percentage average number of failures (%AANF) and annual average repair time (AART) per transformer are used to represent the failure and repair data of power transformers. Two indicators are used to represent the impact of transformer outages on customer interruptions. These indicators are the annual average interrupted MW (AAIMW) and annual average customer-interruption duration (AACID). A summary of the main outcomes of the work presented in this paper is provided in the conclusions' section; however, it is worthy to be mentioned here that the fire-fighting systems are responsible for the highest number of false trips in all voltage subpopulations except the 220 kV subpopulation where the dominant cause of false trips is the busbar protection. Therefore, it is recommended to improve the maintenance and design of this protection equipment to reduce the failure rate of power transformers. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:41 / 51
页数:11
相关论文
共 50 条
  • [1] Power Outage Fault Judgment Method Based on Power Outage Big Data
    Zhang, Xinyang
    [J]. EAI Endorsed Transactions on Energy Web, 2023, 10
  • [2] Optimal power control in wireless data networks with outage-based utility guarantees
    Dey, S
    Evans, J
    [J]. 42ND IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-6, PROCEEDINGS, 2003, : 570 - 575
  • [3] Using Kohonen Maps for a Power Outage Data Analysis
    Baca, Radim
    Gono, Radomir
    Kratky, Michal
    Snasel, Vaclav
    [J]. PROCEEDINGS OF THE 10TH INTERNATIONAL SCIENTIFIC CONFERENCE ELECTRIC POWER ENGINEERING 2009, 2009, : 367 - +
  • [4] Fault Diagnosis Algorithm Based on Power Outage Data in Power Grid
    Wang, Haiyan
    Yuan, Xinping
    Gao, Shanfei
    Gao, Shoushan
    [J]. EAI Endorsed Transactions on Energy Web, 2023, 10 : 1 - 9
  • [6] Analysis and Mitigation of Cascading Failure Spatial Propagation in Real Utility Outage Data
    Huang, Shuchen
    Qi, Junjian
    [J]. 2023 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, PESGM, 2023,
  • [7] Analysis of Power Distribution Line Outage Based on Measurements and Simulations
    Dzanan, Almina
    Grebovic, Selma
    Smaka, Senad
    Helac, Vahid
    [J]. 2022 21ST INTERNATIONAL SYMPOSIUM INFOTEH-JAHORINA (INFOTEH), 2022,
  • [8] Outage Cause Detection in Power Distribution Systems Based on Data Mining
    Bashkari, Mohammad Sad
    Sami, Ashkan
    Rastegar, Mohammad
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2021, 17 (01) : 640 - 649
  • [9] Outage Data Analysis of the Overhead Transmission Lines in Kazakhstan Power System
    Bapin, Yerzhigit
    Ekisheva, Svetlana
    Papic, Milorad
    Zarikas, Vasilios
    [J]. 2020 INTERNATIONAL CONFERENCE ON PROBABILISTIC METHODS APPLIED TO POWER SYSTEMS (PMAPS), 2020,
  • [10] A Data-Driven Analysis of Outage Duration in Power Distribution Systems
    Doostan, Milad
    Chowdhury, Badrul H.
    [J]. 2017 NORTH AMERICAN POWER SYMPOSIUM (NAPS), 2017,