health monitoring for distribution transformers
TRANSCRIPT
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Health Monitoring for
Distribution
Transformers
Corporate TechnologyRestricted © Siemens AG 2020
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What are distribution transformers?
• Handle < 200 kVA power
• Usually step-down from 10-30 kV to
household voltages (230V)
• Responsible for delivering electricity to
residential/industrial establishments
• Close to 25 Mio units in India alone
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What does a distribution transformer look like?
• Heat generated in transformers
carried away by thermally
conducting oil
• Prevention of over-heating
prolongs the life of the
transformer
• Arc-ing avoided by electrically
insulating oil
• Inhibition of arc-formation
prevents catastrophic failure of
transformers
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Why do we need to monitor oil-level in transformers?
• Older transformers tend to
develop cracks in the tank
• Weakened joints and cracks
lead to leakage of oil
• Steady decrease in oil-level
deteriorates the efficiency of the
transformer
• Unattended leaky transformers
can pose a danger to life and
property
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Non-invasive measurement
How can we monitor oil-level in transformers?
Accurate estimation of oil-level
No inbuilt pressure sensors
Not possible to retrofit
pressure sensors in 25 Mio
units
Accurate estimation of oil-level
Expensive sensors
Implementing the concept of
virtual sensing, we can indirectly
measure oil-level using readily
measurable quantities
H
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Using the concept of convective heat transfer to estimate the
amount of oil in a transformer tank
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How does the oil-temperature change when part of the oil is
drained?
• Oil drained completely from the
overhead tank (conservator) at 5
minutes from the start of
recording
• Power of the transformer held
constant
• Video shows comparison of oil
temperatures in the tank before
and after draining the oil from
the conservator
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The same equations have the same solutions
- Richard P. Feynman
Thermal model of a transformer Analogous Electrical Equivalent
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Physics meets Data
• Power measuring sensors (direct/indirect)
very expensive
• Using correlation of temperature
measurements at various locations on the
transformer tank as an alternative to
power measurement
• Statistical correlation algorithm developed
based on findings from the thermal model
Voltage/Current
sensor
Temperature
sensor
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Prediction of oil-level and oil-theft based on temperature
correlation
• Power loss
measurement only for
reference
• Theft-detection
designed to be
extremely reactive to
thefts
• Oil-level detection
designed to maximize
sensitivity and
specificity
Patent filed
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Spherical chicken in a vacuum?
Real-time
analytics
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MATLAB Production Server: Bridging the gap between ideas
and deployment
Picture credits: MathWorks
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Field deployment of the solution
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Validation of the algorithm on the field
• Temperature sensors along with data-
acquisition systems installed on live
transformers on the field
• Acquired data used for fine-tuning of the
algorithm
• Targeted testing also done in a government
certification lab to capture corner cases
• Algorithm could successfully predict low oil-
level on a live transformer on the field
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Application Demo
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Simit Pradhan
CT REE ELM SAE-IN
Bangalore 560100
E-mail:
Contact Information
siemens.com