Design of Online Condition Assessment of Transformer Oil for Incipient Fault Detection
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2016 by IJETT Journal|
|Year of Publication : 2016|
|Authors : Kamini Devi, Mrs. Shimi S.L
|DOI : 10.14445/22315381/IJETT-V31P212|
Kamini Devi, Mrs. Shimi S.L"Design of Online Condition Assessment of Transformer Oil for Incipient Fault Detection", International Journal of Engineering Trends and Technology (IJETT), V31(2),59-68 January 2016. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Different causes and conditions lead to the transformer failure but it is found that the main cause of transformer failure is the damage occurring in insulating oil and paper. Hence to achieve long life of transformer, health monitoring of insulating oil and paper frequently at least on monthly basis is necessary. Condition monitoring increases the transformer life and reliability by making proactive decisions in case of any failures. Also condition monitoring reduces the maintenance cost of the system. Oil of transformer serves as both coolant as well as insulator. Electrical and thermal stresses lead to the degradation of the transformer oil & affect the electrical, chemical and physical properties of the oil. Deterioration of insulating oil and paper leads to the production of gases which gradually get dissolved in oil. The failure in transformers is due to deterioration of insulation overtime. If these failures can be predicted with some degree of confidence, sudden failures and interruption in power supply can be minimized. In this paper various techniques for online condition monitoring of oil and incipient faults detection from the various dissolved gases concentration has been developed. Software implementation of Key gas method, Roger’s Ratio method, National Standard method and Duvel’s Triangle method is done for the various incipient faults detection.
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Transformer, Key Gas, Roger’s Ratio, Duvel’s Triangle.