1. Frankfurt (Germany), 6-9 June 2011 Improving the data quality of the LV-connectivity Intro Problem statement  What  Why Proposed solution Case Conclusion Tom Pycke – Belgium – Distribution network business activities and impact of regulation – N° 0478

2. Frankfurt (Germany), 6-9 June 2011 Improving the data quality of the LV-connectivity Intro Problem statement  What  Why Proposed solution Case Conclusion Tom Pycke – Belgium – Distribution network business activities and impact of regulation – N° 0478

3. Frankfurt (Germany), 6-9 June 2011 Improving the data quality of the LV- connectivity  Background Eandis: Belgian DGO with approx. 4M customers Smart metering program  2010: Proof of concept (4000 smart meters)  2013: Pilot (50.000 smart meters)  2016: Final roll-out Tom Pycke – Belgium – Distribution network business activities and impact of regulation – N° 0478

4. Frankfurt (Germany), 6-9 June 2011  Still many undiscovered uses!  Required: Data (as much as you can get) Research Tom Pycke – Belgium – Distribution network business activities and impact of regulation – N° 0478 Smart metering data Maintenance LV-connectivity Network optimization

5. Frankfurt (Germany), 6-9 June 2011 Improving the data quality of the LV- connectivity Intro Problem statement  What  Why Proposed solution Case Conclusion Tom Pycke – Belgium – Distribution network business activities and impact of regulation – N° 0478

6. Frankfurt (Germany), 6-9 June 2011  Definition Which meter/customer is connected to which LV- feeder  Problem LV-grids: 1940-1970 IT systems (1980-…) Asset and GIS data was added long after installation  Data quality is a problem Tom Pycke – Belgium – Distribution network business activities and impact of regulation – N° 0478 Low-voltage connectivity

7. Frankfurt (Germany), 6-9 June 2011 LV-connectivity Tom Pycke – Belgium – Distribution network business activities and impact of regulation – N° 0478  Why is this not correct?

8. Frankfurt (Germany), 6-9 June 2011  Why problematic Urban areas: multiple LV-feeds in parallel Exact begin and end of the feed not known Time consuming to measure  Why interesting Maintenance Net optimization Outages Tom Pycke – Belgium – Distribution network business activities and impact of regulation – N° 0478 LV-connectivity Fraud detection Demand side management …

9. Frankfurt (Germany), 6-9 June 2011 Improving the data quality of the LV- connectivity Intro Problem statement  What  Why Proposed solution Case Conclusion Tom Pycke – Belgium – Distribution network business activities and impact of regulation – N° 0478

10. Frankfurt (Germany), 6-9 June 2011  Needed Energy/Current data from all connected meters A smart meter connected to the feed in the substation Tom Pycke – Belgium – Distribution network business activities and impact of regulation – N° 0478 Calculating connectivity

11. Frankfurt (Germany), 6-9 June 2011 Tom Pycke – Belgium – Distribution network business activities and impact of regulation – N° 0478 Algorithm C1C1 C2C2 C3C3 C4C4 + Σ F + Least squares fitting

12. Frankfurt (Germany), 6-9 June 2011  Red = feed consumption  Green = feed – connected meters = Measurement noise + cable losses Tom Pycke – Belgium – Distribution network business activities and impact of regulation – N° 0478 Result

13. Frankfurt (Germany), 6-9 June 2011 How to select the initial group?  The actual connected meters are a subset Meters in a distance < 200m of this feed Using PLC connectivity Street names … Initial group Connected meters Tom Pycke – Belgium – Distribution network business activities and impact of regulation – N° 0478

14. Frankfurt (Germany), 6-9 June 2011 Improving the data quality of the LV- connectivity Intro Problem statement  What  Why Proposed solution Case Conclusion Tom Pycke – Belgium – Distribution network business activities and impact of regulation – N° 0478

15. Frankfurt (Germany), 6-9 June 2011 Example case  Energy balance not zero: Tom Pycke – Belgium – Distribution network business activities and impact of regulation – N° 0478

16. Frankfurt (Germany), 6-9 June 2011 Example case  We select all meters within 200m of the feed 20 additional meters selected  We apply the least squares fitting: 2 newly selected meters! Tom Pycke – Belgium – Distribution network business activities and impact of regulation – N° 0478 resulting coefficients

17. Frankfurt (Germany), 6-9 June 2011 Example case Tom Pycke – Belgium – Distribution network business activities and impact of regulation – N° 0478  Resulting energy balance is closer to zero 2 newly selected meters:

18. Frankfurt (Germany), 6-9 June 2011 Improving the data quality of the LV- connectivity Intro Problem statement  What  Why Proposed solution Case Conclusion Tom Pycke – Belgium – Distribution network business activities and impact of regulation – N° 0478

19. Frankfurt (Germany), 6-9 June 2011 Conclusion  We proposed an application of smart metering data  Calculates the LV-connectivity  Feasibility proved in Matlab More detailed info: paper #0478 More information: Tom.Pycke@eandis.be Tom Pycke – Belgium – Distribution network business activities and impact of regulation – N° 0478