Download - S TOP THE D ATA F LOOD A NTHONY J OHNSON C ONSULTING E NGINEER A DVANCED T ECHNOLOGY J ULY 27, 2015
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STOP THE DATA FLOOD
ANTHONY JOHNSONCONSULTING ENGINEERADVANCED TECHNOLOGYJULY 27, 2015
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Abstract
With the last decade of substation automation and the smart grid, the amount of data collected by various systems, Energy Management Systems (EMS), Distribution Management System (DMS), synchrophasor data collection systems, and many other systems, has grown exponentially. This flood of information has resulted in a loss of information coming to Planning and Operations. We need to develop applications to aid Planning and Operations in providing actionable information.
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SHORT HISTORY LESSONHow we got here
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The Early Years• Energy Management Systems (EMS) – – Mostly transmission information: 10-50k points
• Distribution Management System (DMS) – – That’s why we have line crews and substation
operators, right?
• Smart Meters – – The meter reader who knew how to avoid the bad
dogs.
• Phasors – – From Star Trek???
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The Middle Ages• EMS– Now economical to look at distribution substations: 50 – 300k points
• DMS – A few (10-100) remote controlled switches improve the response time– Automation of distribution capacitors
• Smart Meters– Industrial and commercial customers look at Time of Use Metering--needs
some communication
• Phasors– Some really smart professor is looking at some high speed time stamped
monitoring
• Digital Relays– Relays with a few hundred settings make the relay flexible
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The Renaissance• EMS– Continued cost reductions increase the presence of substation
automation (300,000 – 1,000,000 points.)
• DMS – As communication technology costs fall, the amount of distribution
equipment talking back increases by 30k-50k devices.
• Smart Meters – A business case is made to provide a previously expensive solution to all
customers.
• Phasors – Early demonstration projects of Synchrophasor applications.
• Digital Relays – Relays are becoming more complicated with several thousand setting,
communication capability of the relays has improved.
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The Modern Age• EMS
– Goal is total system monitoring with 10M+ points available• DMS
– Distribution equipment capacity now allows thousands of devices to work together
• Smart Meters – Deployed to all customers
• Phasors – Synchrophasor applications are more common in control rooms
• Digital Relays – Relays are part of the automation systems -- 10k+ plus data
points and settings available at a touch of a button
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SO MORE DATA IS GOOD. RIGHT?
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Operations Interface
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Planning Use
• Model validation– Transmission model– Load model– Generation model
• Post-event root-cause analysis
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Limitations of DATA
• More information than can be easily absorbed• System has not changed in 30 years• Need more information/less data• Existing methods rely on human interpretation of
the data.
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BIG DATA :Tools and techniques that process extremely large data sets promptly
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Big Data Characteristics
• Volume• Variety• Velocity • Variability• Veracity• Complexity
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Promises of Big Data• Operations– Document the root cause of an event – Guide recovery from an event– Identify elevated risk configurations
• Planning– Validate system model information– Provide derivation of load model configurations– Validate generator parameters
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Complications
• Operating information changes in seconds• Cybersecurity • Regulatory-required compartmentalization• Multi-company agreement needed for model
standardization
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Today’s utility Big Data mainly details energy usage
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What we need: Real-time big data analytics to support the operation of the Grid.
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THANK YOU.