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1
Reduce losses, improve efficiency and protect
revenues with analytics
True Grid Intelligence (TGI) using In-Grid Analyti...
22
Schneider Electric protects grid revenue
by helping distribution utilities easily
locate energy losses and improve grid...
3
Over $200B of energy wasted yearly
Annual value of global Non Technical
electricity losses (annual increase +2,5%)
Sourc...
4
Technical Losses
MV Theft
&
LV Theft
Wiring errors
TotalLosses
Metering errors
Line Losses
Transformer
core loss
Transfo...
5
What do you think your non-technical
losses currently are?
a - < 2%
b - 2% to 5%
c - 5% to 10%
d - >10%
e - Don’t know
6
Smart meters find some theft
Meter
tampering
Low voltage
diversion
Losses identified
using Smart Meters
and Meter Data
A...
7
In-Grid Data finds MORE losses
Losses identified
using Meter Data
Analytics alone
LV diversion
at transformer
Unmetered ...
8
The Challenges
Many distribution companies
struggle to:
• recover their investment in
smart metering
• interpret the mea...
9
Immediate & Long Term Benefits
Losses
50%
Time
~3 years
Start of
Program
In-grid data
collection &
analysis
Losses ident...
1010
But where to start looking?
With the TGI platform, Schneider
Electric helps distribution utilities
determine the high...
11
Revenue
Protection
Manager
Investigations
Manager and
Analyst
Field
Investigator
Data analytics approach
Possible
Theft...
12
Data analytics approach – and beyond
Most analytics vendors stop here.
The utility is assumed to ingest the
results int...
13
TGI segments the grid
List of possible
theft locations
TGI uses conventional meter data
analytics as an input to the Ri...
14
TGI applies risk algorithms
List of possible
theft locations
TGI uses conventional meter data analytics
as an input to ...
17
TGI RISK ADVISOR
Identifies and ranks
high-risk grid segments
TGI Dashboard: Assess top priorities
and recommend Next B...
18
… and a methodology for each step
Recommend
TGI Risk Advisor
• High loads
• Transformers
• Tamper flags
• Demographics
...
1919
In-Grid Data Analytics
TGI Dashboards provide
recommendations for Next Best Actions:
• Verify billing
• Balance phase...
20
Does NTL´s analysis require a Big Data
Architecture?
a - Yes, always
b - Not at all
c - Most of the times
d - It depend...
21
Key feature comparison
Meter Vendors IT Software TGI
Requirements
Analytics engine ✔ ✔ ✔ ✔
Ability to segment the grid ...
22
Progressive and timely approach
Pre project Proof of Concept Pilot Deployment Continuous
Improvement
•Define stake
•Com...
2323
Conclusion
As the global specialist in Energy
Management™, Schneider Electric helps
Electric Distribution Utilities t...
24
Make the most of your energySM
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Using Grid data analytics to protect revenue, reduce network losses and improve efficiency

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Currently electricity losses are a significant issue for utilities totalling an estimated annual costs of over $200 billion and electricity theft is a worldwide problem but which varies depending on regions. These losses also have environmental impacts causing 1.200 M tonnes of CO2 emissions and wasting up to 8% of generation capacity annually.

Published in: Technology
  • Dear Jean-Yves and Misa, thank you very much for your time and efforts to present your view with both commercial and technical losses issues utilities worldwide are facing with. I would like for us to stay in touch for further exchange of both expirience and information. Best regards, Jovan Jovanovic
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Using Grid data analytics to protect revenue, reduce network losses and improve efficiency

  1. 1. 1 Reduce losses, improve efficiency and protect revenues with analytics True Grid Intelligence (TGI) using In-Grid Analytics April 28th, 2015 Jean-Yves Blanc, Schneider electric Mischa Steiner-Jovic, Awesense
  2. 2. 22 Schneider Electric protects grid revenue by helping distribution utilities easily locate energy losses and improve grid operations & efficiency. Schneider Electric has partnered with Awesense Inc. to deliver a best in class grid data analytics solution.
  3. 3. 3 Over $200B of energy wasted yearly Annual value of global Non Technical electricity losses (annual increase +2,5%) Source: World Bank 2011-2014
  4. 4. 4 Technical Losses MV Theft & LV Theft Wiring errors TotalLosses Metering errors Line Losses Transformer core loss Transformer copper loss - overload Transformer copper loss phase imbalance Billing errors Capital costs ARE NOT needed to reduce these losses Capital costs ARE needed to reduce these losses Non-Technical Losses Technical vs. non-technical losses? Savings Total Losses
  5. 5. 5 What do you think your non-technical losses currently are? a - < 2% b - 2% to 5% c - 5% to 10% d - >10% e - Don’t know
  6. 6. 6 Smart meters find some theft Meter tampering Low voltage diversion Losses identified using Smart Meters and Meter Data Analytics ✔ ✔
  7. 7. 7 In-Grid Data finds MORE losses Losses identified using Meter Data Analytics alone LV diversion at transformer Unmetered loads & illegal MV connections Low efficiency from phase imbalance Low efficiency from heavy transformer loading Losses identified using In-Grid Data combined with Meter Analytics Data Meter setting & wiring errors ✔ ✔ ✔✔ ✔✔
  8. 8. 8 The Challenges Many distribution companies struggle to: • recover their investment in smart metering • interpret the meaning of the trends and alerts generated from analyzing big data • relate the customer and consumption data to the grid operating condition • determine the Next Best Action to reduce losses In many cases smart meter investments are motivated by a desire to reduce grid losses Total Losses Start recovering losses sooner Recovermorelosses 20152014 20172016 20192018 20212020 20232022Losses
  9. 9. 9 Immediate & Long Term Benefits Losses 50% Time ~3 years Start of Program In-grid data collection & analysis Losses identified and reduced Persistent in-grid data collectors deployed
  10. 10. 1010 But where to start looking? With the TGI platform, Schneider Electric helps distribution utilities determine the highest risk segments of the grid – and the best places to start investigating.
  11. 11. 11 Revenue Protection Manager Investigations Manager and Analyst Field Investigator Data analytics approach Possible Theft Cases (~10 per day) Monetize results Special Investigations Unit Investigate? No Yes Data Analytics Triage Meter Data Alerts (>100 per day) Feedbackfalsepositive Metering Data (>1000 per day) Insurance, finance and IT industries have long used a systematic approach to reduce loss due to fraud & abuse. The TGI platform brings this systematic approach to distribution utilities. Ricardo
  12. 12. 12 Data analytics approach – and beyond Most analytics vendors stop here. The utility is assumed to ingest the results into their business processes to find the cause of theft. CUSTOMER SYSTEMS BUILDING DATA RATES & MEASURES ENTERPRISE SYSTEMS METER DATA OPERATIONAL SYSTEMS List of possible theft locations 3rd Party Analytics Many distribution companies don’t have smart meters – and don’t have the data they provide.
  13. 13. 13 TGI segments the grid List of possible theft locations TGI uses conventional meter data analytics as an input to the Risk Advisor to determine the highest risk Grid Segments, making field investigations more effective. TGI RISK ADVISOR Ranked list of high- risk grid segments with all types of losses (not just theft) CUSTOMER SYSTEMS BUILDING DATA RATES & MEASURES ENTERPRISE SYSTEMS METER DATA OPERATIONAL SYSTEMS CASE MANAGEMENT GIS RISK FACTORS FIELD INVESTIGATIONS BILLING SYSTEM 1 2 3 3rd Party Analytics
  14. 14. 14 TGI applies risk algorithms List of possible theft locations TGI uses conventional meter data analytics as an input to the Risk Advisor to determine the highest risk grid segments, making field investigations more effective. TGI RISK ADVISOR CUSTOMER SYSTEMS BUILDING DATA RATES & MEASURES ENTERPRISE SYSTEMS METER DATA OPERATIONAL SYSTEMS CASE MANAGEMENT GIS RISK FACTORS FIELD INVESTIGATIONS BILLING SYSTEM TGI CASE MANAGER TGI REPORTING TOOLS TGI INVESTIGATION MANAGER TGI FIELD INVESTIGATION TOOLS TGI DASHBOARD TGI IN-GRID DATA ANALYTICS 3rd Party Analytics
  15. 15. 17 TGI RISK ADVISOR Identifies and ranks high-risk grid segments TGI Dashboard: Assess top priorities and recommend Next Best Actions TGI Placement Advisor: plan optimal investigations of target segment. TGI Repository, TGI Reporter: Chain of evidence and secure documentation of Energy Balance, Phase Balance, Transformer Load Study, etc. …with tools for each step Recommend Plan Investigate Analyze TGI Sensor Management: sample load data on live distribution lines
  16. 16. 18 … and a methodology for each step Recommend TGI Risk Advisor • High loads • Transformers • Tamper flags • Demographics • Customer type • other 1 2 3 Plan TGI Placement Advisor Data sampling plan: • Total kVA • Customer load • Customer count • other Investigate TGI Investigation Tools • Detailed sensor location info • Verify GIS data • Annotate each placement (photos, etc.) TGI Reporter In-Grid data analytics: • Losses & theft • Billing/wiring errors • Phase imbalance • Energy balance • Transformer overload • Phase association using Smartscan Σ Σ Analyze
  17. 17. 1919 In-Grid Data Analytics TGI Dashboards provide recommendations for Next Best Actions: • Verify billing • Balance phases • Upgrade high-risk transformers TGI retains full audit trail of all investigations: • People involved • Locations identified and reasons • Time-stamped snapshots of grid • Process followed with photo evidence • Full reporting
  18. 18. 20 Does NTL´s analysis require a Big Data Architecture? a - Yes, always b - Not at all c - Most of the times d - It depends of data volumes to be managed
  19. 19. 21 Key feature comparison Meter Vendors IT Software TGI Requirements Analytics engine ✔ ✔ ✔ ✔ Ability to segment the grid ✔ Prioritization of cases by risk ✔ ✔ ✔ Roving in-grid sampling ✔ “Next best action” recommendations ✔ ✔ ✔ Case management ✔ ✔ Litigation-ready evidence trail ✔ Role-based dashboards ✔ ✔ ✔
  20. 20. 22 Progressive and timely approach Pre project Proof of Concept Pilot Deployment Continuous Improvement •Define stake •Commitment from power sponsor •Assess feasibility 4-6 weeks 3-6 months 3-5 years As long as relevant •Demonstrate methodology works and operational compliance •Demonstrate NTL identification in a small scale •Identify NTL •Sustain results •Dashboard •Project follow-up •Recommendations •NTL identification •Dashboard •Project follow-up •Recommendations •Dashboard NTL •(quantify & locations) •Project follow-up •Integration of legacy systems (GIS, MDM, CRM) •Ranking of feeder segment •Report booklet •Recommendations Timeline Objective Deliverables 4-6 weeks •Data source inventory
  21. 21. 2323 Conclusion As the global specialist in Energy Management™, Schneider Electric helps Electric Distribution Utilities to identify, measure and locate Non Technical Losses: • Minimize the losses • Improving grid operations • Improve grid efficiency
  22. 22. 24 Make the most of your energySM

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