On-load measurement method for the reliability of distribution transformers

被引:2
|
作者
Adesina, Lambe Mutalub [1 ]
Abdulkareem, Ademola [2 ]
Ogunbiyi, Olalekan [1 ]
Ibrahim, Oladimeji [3 ]
机构
[1] Kwara State Univ, Fac Engn & Technol, Dept Elect & Comp Engn, Malete, Nigeria
[2] Covenant Univ, Dept Elect & Informat Engn, Sango Ota, Ogun State, Nigeria
[3] Univ Ilorin, Dept Elect & Elect Engn, Ilorin, Nigeria
关键词
Cellulose deterioration; Energy analyzer; Experiment; Fluke; Insulation; Network reliability; Outages; Power quality;
D O I
10.1016/j.mex.2020.101089
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Transformer is the most important equipment used in power system. It's ensure network stability and reliability. Transformer fails over time due to several factors such as overload, poor insulation, cellulose deterioration, poor dielectric strength of the oil etc. However, transformer owners are finding it difficult to monitor the performance of distribution transformers (DT) in their place of application which results to system failure. Analyses of this distribution transformer performance required that distribution transformer be put on-load and the secondary terminals link to Power Quality and Energy Analyzer equipment (Fluke 435 Series II). This paper presents a methodology of carrying out experimental set up of on-load reliability measurements of the two distribution transformers, 500 kVA and 300 kVA, 11/0.415 kV as case study. Recommendations for the operations and maintenance engineers in charge to comply are discussed. This approach using the prescribed power quality equipment gives a reliable experimental method of evaluating the performance of distribution transformers. Maintaining the selected distribution transformer on - load prior to and during the experiment. The setting of experimental circuit to determine the operational parameters involving DT connection to Power Quality and Energy Analyzer (PQEA) equipment. It utilize personal computer to download the measured parameters for graphical and statistics analysis. (C) 2020 The Authors. Published by Elsevier B.V.
引用
收藏
页数:22
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