5
Intelligent Diagnostic Method for Life Analysis of Transformer
Authors: Anil Kumar Kori*, A.K. Sharma** and A.K.S. Bhadoriya**
Number of views: 428
ABSTRACT: Transformers are critical and capital intensive assets for utility industry. It is broadly accepted that
the life of a power transformer is the life of the oil/ paper insulating system, also the fact that most failures in
their final on electro-mechanical base such as a short circuit condition or a mechanical failure. The ageing of
insulation in Transformers is influenced by short term and long term over loads, intensity of short circuit,
incidence of lightning, and internal faults. The ageing behavior is likely to be different for different types of
transformers. The life span of the transformer, thus, depends initially on the design, and quality of manufacture,
and later on service conditions and maintenance standard these factors vary considerably and affect the useful
span of service life which therefore needs to be taken into account for residual life assessment. During the
natural ageing of transformers, the insulation of winding, which is cellulose paper, deteriorates. Cellulose insulation
degrades due to heating or electrical Breakdown, resulting in the production of furfural derivatives, which
dissolve in oil. Hence, the chemical analysis of the Transformer oil gives evidence of changes that are taking
Place in the winding insulation during operating. Deterioration in transformer cellulose decreases both its
electrical and mechanical strength. In this paper a novel fuzzy based algorithm has been developed for life
analysis of power transformer and implemented on three samples of transformer oil.