Geoff Murphy 25 th October 2012 Dynamic Thermal Rating Project.
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Transcript of Geoff Murphy 25 th October 2012 Dynamic Thermal Rating Project.
![Page 1: Geoff Murphy 25 th October 2012 Dynamic Thermal Rating Project.](https://reader036.fdocuments.us/reader036/viewer/2022062408/56649ec15503460f94bcc6d1/html5/thumbnails/1.jpg)
Geoff Murphy25th October 2012
Dynamic Thermal Rating Project
![Page 2: Geoff Murphy 25 th October 2012 Dynamic Thermal Rating Project.](https://reader036.fdocuments.us/reader036/viewer/2022062408/56649ec15503460f94bcc6d1/html5/thumbnails/2.jpg)
• Tier 1 Low Carbon Network Fund Project
• £450k Project
• Duration: July 2010 – July 2013
Partners:
Dynamic Thermal Rating Project Scope
Release Network Capacity for 132kV Wind Generation
Provide Control Room with Complete Visibility
Gain Business Confidence to Offer ANM Solution
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• 30% increase in the capacity of new and existing overhead lines
• Low cost per additional MW of capacity
• Potential to facilitate faster network connections
• Could reduce the visual impact of new lines
• Will require additional resource and financial commitments over their lifespan to
maintain
• DTR Schemes perceived to add risk to network security
• Will require changes to connection offers and the acceptance of generators
DTR Benefit:DTR vs. Business as Usual Connection
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• Operational scheme based on SPENs IET Innovation Award winning project
• Utilises weather stations and a geographic model of the network to interpolate the weather conditions and ratings at any span
• DTR calculated validated against conductor temperature measurements
Original Trial Results:• 30% sustainable uplift upon
existing seasonal ratings• Strong correlation with wind
farm output• 20% additional energy yield
for wind farms controlled to DTR
DTR Approach:Thermal State Estimation with Integrated Sensors
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• 10km coverage of Weather Stations• Weather Station Measurements:
– Ambient Temperature– Solar Radiation– Wind Speed– Wind Direction
• x8 Conductor Temperature /
Current Sensors• Fibre / radio / GPRS
communication channels• Stand alone SCADA Client
DTR Approach:Thermal State Estimation with Integrated Sensors
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DTR Approach:SCADA Based Model and Algorithm
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01-Sep-12 00:00:00
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LYNX Summer LYNX Winter
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DTR Results:DTR vs. Static Ratings in September
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DTR Results:Limiting Spans Connahs Quay – St Asaph
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SUMMER RATING
30% UPLIFT
DTR Results:DTR Correlation with Local Wind Farm Output
Pro
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plift
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• Remaining Weather Station Installation
• RTU Firmware Refinement
• Conductor Temperature / Current Sensor Installation
• LCNF Tier 1 Active Network Management trial
• Business Engagement
– Trial and Refinement of graceful degradation scheme
– Analysis of DTR performance
• Policy Refinement to accept DTR
• Integration into PSMC SCADA System
DTR Progress:Next Steps
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DTR Project Key Innovation
1. Central SCADA platform – common to most UK DNOs
2. Repeatable methodology
3. Balance of distributed / centralised intelligence
4. Development of DTR Manual
5. Graceful degradation
Internal:• Project Steering Group• Innovation Day Briefings• Team Briefings
External:• SPEN Innovation Website
www.spenergynetworks.com/innovation• IET Smart Grids, London, June 2011 • CIRED Paper and Conference, Frankfurt, June
2011• LCNF Conference, Newcastle, July 2011• IEEE Paper and Conference, Manchester,
December 2011• GE User Forum, Kirkintilloch, September 2012• Ordnance Survey Seminar, October 2012
In the pipeline...• IET Manchester, 2013• CIRED 2013