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Distribution Network Visibility Low Carbon Networks Fund Tier 1 project UK Power Networks & PPA Energy Omer Khan &a

Distribution Network Visibility Low Carbon Networks Fund Tier 1 project UK Power Networks & PPA Energy Omer Khan & Sarah Carter. Project Background.

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Distribution Network Visibility Low Carbon Networks Fund Tier 1 project UK Power Networks & PPA Energy Omer Khan &a

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  1. Distribution Network VisibilityLow Carbon Networks Fund Tier 1 projectUK Power Networks & PPA EnergyOmer Khan & Sarah Carter

  2. Project Background • London Power Networks area (London) : All primary substations and more than 9500 secondary substations equipped with Remote Terminal Units (RTUs) • Secondary substations RTU under-utilised • Opportunity: Maximise the utilisation of existing infrastructure Functions not used Available Saved Disturbance recorder Analogue limit excursion events Harmonics 1-15th Total power in kVA Power factor 1 x phase voltage Air temperature Voltage: 3 x phases Current: 3 x phases Total Power (kVA) Power Factor Real Power (kW) and direction Reactive Power (kVAr) Total Harmonic distortion Air temperature

  3. Project objectives: • Fully utilise the capabilities of the primary and secondary RTUs. Collection of additional analogues and new functionalities. • Develop and demonstrate a number of visualisation tools. • Demonstrate the business benefits. Asset Optimisation, Planning, Connections, Network Operations, Control. • Evaluate optical sensors (PowerSense). Project highlights: • Automated analysis of existing data from 9500 substations available. • RTU upgrade has started: 350 completed, to meet target of 600 by end 2012. • Beta version of Distribution Network Visualisation Tool being trialled. • Engagement with Business Units (Planning, Connections and Asset Management) to refine tool and start to realise benefits.

  4. Analysis of Network data – Planning / Connections Secondary substation utilisation: • Overview of load demand: Improve connections process. • Overview of load profiles: Identification of changes in load profiles with increase in LV connected generation / heat pumps / electric vehicles. • Load profiling – variation during the day • Utilisation – mapping using colour pins

  5. Analysis of Network data – Planning / Connections Secondary substation utilisation: • Utilisation – variation with time with side by side comparison using bar charts • Utilisation – duration curve

  6. Analysis of Network data – Planning / Connections • Load profiling – using colour pins on map

  7. Analysis of Network data – Asset Management Secondary Substation Ventilation: • Overview of substation ventilation: Identify sites which may be inadequately ventilated or which reach extreme levels of cold. • Potential to prolongtransformer asset life. • Ambient air temperatures – colour pins on map

  8. Analysis of Network data – Asset Management Primary Transformer Tap Changers: • Tap change operating time: Identify tap changer anomalies. • Tap change count: Inform maintenance frequency of tap changers. • Number of Tap Changer Operations in one day for each LPN Primary Transformer (Average 40)

  9. Analysis of Network data – Operations / Planning Secondary Substation Voltage: • High / Low Voltage investigations – colour pins on map • Voltage – Load relationship • Voltage comparison against limits • Inform decisions in respect of voltage investigations. • Provide information in respect of effect of LV connected generation and voltage

  10. Analysis of Network data – Planning Secondary Substation 3ΦVoltage and Current Unbalance • Current Unbalance reports – Average and Maximum • Voltage Unbalance • Current Unbalance • Current unbalance – identification of worst case substations in respect of losses – consistent unbalance – possible mitigation – cost / benefit

  11. Analysis of Network data – Planning Secondary Substation 3Φ Voltage Total Harmonic Distortion (THD) Utilisation • Relationship with load / network configuration. • Helps with RTU alarm settings with a view to obtaining individual harmonic data over defined levels/periods

  12. Generation Detection • Secondary transformer load profile: • Large PV (150kW) installation secondary substation load vs solar radiation • Powersense monitoring trial: • Connected at 11kV at water supply works with generation Load on secondary transformer Solar radiation PowerSense Optical Sensor

  13. Data Cleansing • Data quality affects analysis e.g. long term maximum/average/minimum figures. • Data cleansing algorithms developed to detect and remove anomalies where possible. Spikes Missing data Data anomalies

  14. Measurement observations • Half Hour averaging of power factor – variation between leading and lagging – half hour average incorrect. • Current Transformer (CT) location on one of two parallel cables between secondary transformer and LV board. RTU doubles reading – apparent unbalance if cables not sharing current Transformer Dual LV Cable/Tail Current Transformer Voltage Fuse

  15. Next Steps • Further engagement with business units; • Additional development in respect of usability required; • Investigationsof additional RTU functionality in respect of alarms and event recording continuing; • Integrated phase to start shortly, • interfaces with existing databases and applications e.g Asset Data, Geographical Network Data. • additional functionality to be added to application.

  16. Thank You – Any Questions?

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