Power transmission through age old transmission equipment [large & complex networks like transformers, overhead
lines, cables & other equipment] creates lot of hurdles and loss. It is expected
that a rough estimate of 17% of the generated power gets lost in the
transmission from power generation tower to the local grid. While the technical loss happens due to energy dissipated in the conductors, equipment used for
transmission Line, Transformer, sub- transmission Line and distribution Line
and magnetic losses in transformers; the non-technical or commercial loss
happens due to illegal stealing of power, etc.
To leverage real-time data management to meet reliability
goals, you need to deploy predictive analytics. By running the data gathered by
your analytics sensors through the predictive analytics application, you would
come to know where unexpected shutdowns and catastrophic failures are about to
happen. Besides, you could predict transformer, compressor, and tower
conditions, monitor cable and joint corrosion, reduce damage to critical
equipment, etc.
On the whole, applying predictive analytics on power
transmission data helps you maximize focus on your critical resources 24/7/365.
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