Abstract:
Further utilization of ageing fleet of power system
assets can be enhanced by acquiring better knowledge of lifethreatening factors. In this paper, further exploration of power
transformer residual life estimation is articulated. Previously,
focus has been on diagnostic capabilities and degradation
agencies in forecasting the remnant life of a power transformer.
In this study, a weighting factor approach cascaded with fuzzy
inference system was adopted in realizing the residual life of a
power transformer. Instead of using individual attributes, the
proposed model utilizes the grouping factor of technical life
threatening agencies. A multi-criteria analysis was employed in
developing the model, whereby the outcome of the model is
accomplished by including the collective effect of distinct sub
outcomes using fuzzification of all the active grouping attributes.
Assessment of the developed residual life model was confirmed
by utilization of data set attained from several in-service mineral
oil immersed transformers. The simulation results were
comparable with utility expert’s outcome, thus confirming the
applicability of the proposed model.
