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Lightning and Power Systems in the 21 st Century 2014 FALLS User Group Georgia Transmission Corporation: October 30 th -31 st , Tucker, Georgia Fred Elmendorf Grid Protection Alliance

Lightning and Power Systems in the 21st Century

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Lightning and Power Systems in the 21st Century

2014 FALLS User GroupGeorgia Transmission Corporation: October 30th-31st, Tucker, Georgia

Fred ElmendorfGrid Protection Alliance

Overview

• Who is GPA

• How do lightning systems work

• How do electric power data systems work

• What’s wrong with what we’ve got

• Where do we go from here

• Conclusions

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Grid Protection Alliance

Mission – to improve the reliability and resiliency of the electric grid

Purpose – to advance the technology of the electric grid by providing services and systems that create lasting value for electric energy producers, transmission & distribution companies, and consumers.

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GPA is a not-for-profit corporation creating opensource software, and advancing electric gridoperations through the development of secure,extensible, high-performing, and freely availableproduction-grade solutions.

How do lightning systems work

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DEVELOPMENT OF THE NATIONAL LIGHTNING DETECTION NETWORKBY RICHARD E. ORVILLE http://journals.ametsoc.org/doi/pdf/10.1175/BAMS-89-2-180

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http://www.lightningsafety.noaa.gov/resources/Lightning_Detection.pdf

How do lightning systems work

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DEVELOPMENT OF THE NATIONAL LIGHTNING DETECTION NETWORKBY RICHARD E. ORVILLE http://journals.ametsoc.org/doi/pdf/10.1175/BAMS-89-2-180

How do lightning systems work

• Sensors record disturbances

• Angle of incidence and/or time of arrival

• Data sent via satellite to central facility

• Data from multiple sensors combined

• Estimations of location and other data elements

• Results communicated to lightning data consumer

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How do lightning systems work

How do electric power data systems work

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Real experience using power quality data to improve power distribution reliabilityby Lance A. Irwin, Member, IEEE http://tinyurl.com/lx57dm6

• Transducers are connected directly to power devices

• Monitoring devices read signals from transducers

• Monitoring device is GPS time synched

• Measured data is recorded with time stamp

• Data is available via network to consumer

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How do electric power data systems work

What’s wrong with what we’ve got

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• Lightning data values are estimates

• Power system data is directly measured

• Data systems are completely independent

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• We’ve seen dramatic improvements in both systems

• Present strategy can’t support required fidelity

• Lightning – Continental|Power data - local

What’s wrong with what we’ve got

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•Lightning - major player in power system disturbances•Lightning stroke location accuracy ~ 150-200m•Lightning stroke detection efficiency ~76%•Power system events – unknown cause typically high•How many are actually lightning•Present methods compare ‘end results’

What’s wrong with what we’ve got

Where do we go from here

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Power System Event Data

Raw Sensor Data

Lightning Location Database

Power System Event Database

Compare Data From Two Systems

Present System

Lightning Data Estimation

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Power System Event Data

Raw Sensor Data

NEW Lightning DataEstimation Process

Lightning Location Database

Power System Event Database

NEW More Accurate Answers

Where do we go from here

18 Mar 2014 UTC:03:46:27.213267 Lat:35.04568076326 Lon: 85.26725483724 kA:7.9

System Impact: This stroke attached to the A-phase conductor mid-span between structures #264 and #265. A cracked insulator at structure #267 allowed a flashover to the insulator attachment causing a momentary A-phase to ground fault.

• Use Open Source Software (OSS) to facilitate collaboration and accelerate innovation

• Bring power system event data into lightning process before the stroke parameters are calculated

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Where do we go from here

Some advantages of OSS:– High Quality

– Facilitates security

– Competitive features

– Lower total cost of ownership

– Stimulates innovation

– Encourages collaboration

– Reduces time to deployment

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Where do we go from here

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• Develop an OSS data integration layer to:

– bring power system data into the lightning parameter estimation process

– integrate new, more precisely estimated lightning parameters into power system processes

• Build an OSS community of all interested parties to stimulate innovation and facilitate continuous improvement

Where do we go from here

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Where do we go from here

Presented at the 2011 International Symposium on Lightning Protection: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6088438

US Patent Number 5,729,144 March 17, 1998A power line fault locating system employing combinations of conducted electrical transient signals recorded at specific points in the power delivery network, radiated electromagnetic signals produced by the air-gap arc preceedingthe fault current or by the lightning discharge causing the fault, and knowledge of the power line path associated therewith.

Conclusions

• Lightning data is still not ‘good enough’

• Present strategies can’t close the gap

• Power system data is available

• The value of integration has been recognized since 1998 or before

• OSS is an ideal vehicle for rapid innovation

• Using OSS to power system data together with bring lightning sensor data before lightning parameters are estimated could give us better answers

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Questions

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Fred ElmendorfManager, Grid Solutions Services1206 Broad St, Chattanooga, TN 37402Office:423.702.8136 Desk:423.973.4729 Cell:[email protected]