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Smart Grids Measurements
Marieke Beckmann
Research Lead, Centre for Carbon Measurement
6th Smart Grids & Cleanpower Conference
3-4 June 2014, Cambridge, UK
www.hvm-uk.com
What is NPL?
•  World-leading science and technology
laboratory
•  Directly-owned by BIS
•  550+ staff
•  Working with and for business, academia
and government
•  Science with impact
Power Measurement at NPL
NPL measures power to accuracies
of 40 parts per million – comparable
to detecting the power of
flashlight against the background
of the full set of floodlights at
Wembley Stadium.
Readings of every electricity meter in
UK homes can ultimately be traced
back to national standards.
Accuracies are necessary to support
the long chain of measurements from
primary standard through to peoples
homes.
Planning for the impact of renewables and increased use of HVDC
Renewables’ impact on network – e.g. voltage rise, power quality?
Instrumentation for networks
How many sensors required to determine power flow across network?
Where should they be located?
Determination of carbon savings of smart interventions
How to calculate the net carbon savings in smart interventions and allow
inter-comparison with other options?
Challenges we address
1MV Metrology
(Modular divider)
Convertor Efficiency
DC and AC Metering
(>100kV ac site cal.
+ dc side meter.)
On-Site Metrology
Temperature SensorsWeather Data
Better Measurements:
Reduced Load Margins
(on-site calibrations)
Data Processing:
Dynamic Rating
M
M
M
MM
MM
M
M M
M
M
MMM
M
M
M
MM
MM
M
M M
M
M
MMM
Vital Important Optional
Phasor Measurement Units (PMUs)
“PMU testing and calibration have
become a major hurdle to the further
development and implementation of
PMU applications in power systems.
Utilities need the guarantee of
reliability and accuracy of PMUs and
also the seamless interchangeability
among the PMUs from different
vendors.” EPRI
Challenge: Reliability
Wide Area
Measurements
(Field use of
reference PMU)
Power Flow:
Sensor Networks
(Placement optimisation)
Fault Location
(Using wide-area
Measurement - PMUs)
Wind Turbine “Flicker”
Denmark.
HVDC Station, SwedenSolar PV Retrofit
Determination of Carbon
Savings in SmartGrid Trials
Challenge: To calculate the net carbon savings in a smart interventions in
a standard and rigorous manner for comparisons with others, for
example LCNF trials.
§  Smart Grids – choosing the right
topologies /techniques/technologies…
§  How much carbon does a given
scheme save ?
§  To scale-up from trials requires
rigorous data to make the right
decisions
Dynamic Demand Challenge Prize
Create a new product, technology or service that utilises data to
significantly improve the ability of households or small businesses to
demonstrate measurable reduction in carbon emissions by shifting energy
demand to off peak times or towards excess renewable generation.
Expected outcomes:
•  Demonstrable shift in peak usage to off peak times
•  Responsiveness to dynamics of supply of renewable energy
•  Measureable reduction in CO2 emissions
Centre for Carbon Measurement
Climate data
Provide confidence and reduce uncertainties in climate data
used for monitoring and modelling
Carbon markets & accounting
Support tax, trade and regulatory instruments for carbon pricing
and reporting
Low carbon technologies
Accelerate development and assess performance of low carbon
technologies
Thank you!
Marieke Beckmann, Research Lead
Centre for Carbon Measurement
E: marieke.beckmann@npl.co.uk

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Sgcp14beckmannsg

  • 1. Smart Grids Measurements Marieke Beckmann Research Lead, Centre for Carbon Measurement 6th Smart Grids & Cleanpower Conference 3-4 June 2014, Cambridge, UK www.hvm-uk.com
  • 2. What is NPL? •  World-leading science and technology laboratory •  Directly-owned by BIS •  550+ staff •  Working with and for business, academia and government •  Science with impact
  • 3. Power Measurement at NPL NPL measures power to accuracies of 40 parts per million – comparable to detecting the power of flashlight against the background of the full set of floodlights at Wembley Stadium. Readings of every electricity meter in UK homes can ultimately be traced back to national standards. Accuracies are necessary to support the long chain of measurements from primary standard through to peoples homes.
  • 4. Planning for the impact of renewables and increased use of HVDC Renewables’ impact on network – e.g. voltage rise, power quality? Instrumentation for networks How many sensors required to determine power flow across network? Where should they be located? Determination of carbon savings of smart interventions How to calculate the net carbon savings in smart interventions and allow inter-comparison with other options? Challenges we address
  • 5. 1MV Metrology (Modular divider) Convertor Efficiency DC and AC Metering (>100kV ac site cal. + dc side meter.) On-Site Metrology
  • 6. Temperature SensorsWeather Data Better Measurements: Reduced Load Margins (on-site calibrations) Data Processing: Dynamic Rating
  • 8. Phasor Measurement Units (PMUs) “PMU testing and calibration have become a major hurdle to the further development and implementation of PMU applications in power systems. Utilities need the guarantee of reliability and accuracy of PMUs and also the seamless interchangeability among the PMUs from different vendors.” EPRI
  • 9. Challenge: Reliability Wide Area Measurements (Field use of reference PMU) Power Flow: Sensor Networks (Placement optimisation) Fault Location (Using wide-area Measurement - PMUs)
  • 10. Wind Turbine “Flicker” Denmark. HVDC Station, SwedenSolar PV Retrofit
  • 11. Determination of Carbon Savings in SmartGrid Trials Challenge: To calculate the net carbon savings in a smart interventions in a standard and rigorous manner for comparisons with others, for example LCNF trials. §  Smart Grids – choosing the right topologies /techniques/technologies… §  How much carbon does a given scheme save ? §  To scale-up from trials requires rigorous data to make the right decisions
  • 12. Dynamic Demand Challenge Prize Create a new product, technology or service that utilises data to significantly improve the ability of households or small businesses to demonstrate measurable reduction in carbon emissions by shifting energy demand to off peak times or towards excess renewable generation. Expected outcomes: •  Demonstrable shift in peak usage to off peak times •  Responsiveness to dynamics of supply of renewable energy •  Measureable reduction in CO2 emissions
  • 13. Centre for Carbon Measurement Climate data Provide confidence and reduce uncertainties in climate data used for monitoring and modelling Carbon markets & accounting Support tax, trade and regulatory instruments for carbon pricing and reporting Low carbon technologies Accelerate development and assess performance of low carbon technologies Thank you! Marieke Beckmann, Research Lead Centre for Carbon Measurement E: marieke.beckmann@npl.co.uk