Neuro-fuzzy computing for large power transformers monitoring and diagnostics

Roizman, Oleg; Davydov, Valery

doi:10.1109/nafips.1999.781692

Cited by 7 publications

(1 citation statement)

References 4 publications

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“…These factors surely present a strong motivation for utilities to monitor the health of their power transformers. In short, power transformers are likely to be the most expensive asset within electrical networks [2], and so their availability and reliability is of paramount importance. Their nominal life expectancy is expressed in years, corresponding to their nameplate rated load and ideal conditions [3].…”

Section: Introductionmentioning

confidence: 99%

Effect of Climate Change on Transformers Loading Conditions in the Future Smart Grid Environment

Hashmi¹,

Lehtonen²,

Hänninen³

2013

OJAppS

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The steady-state calculations are performed using IEC guidelines to determine the hot spot temperatures of distribution and power transformers in the worst projected Finnish environment due to long summer periods. Moreover, the effect of increase in winding resistance due to increase in ambient temperatures has been taken into account. The primary objective of the research is to investigate the possible extreme circumstances due to climate change. It is concluded that the power and distribution transformers should be progressively de-rated under such circumstances for their safe operations, which will not only prove cost-effective for utilities but also improve the reliability of the power supply to their valued customers in the challenging future smart grid environment.

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Section: Introductionmentioning

confidence: 99%