1. Presentation Title ( Arial, Font size 28 )
AMI experience of Tata Power
Date, Venue, etc..( Arial, Font size 18 )

2. Introduction
Tata Power is engaged in Supply of Electricity across Mumbai Licensed area.
The total spread of licensed area is 485 sq. km. and houses a population of approximately 1.45 crores
Customer base in the Mumbai licensed area is around three lakh.
Customers include Railways, Refineries, Mumbai Port Trust, BARC, Ordanance factory, Mumbai Municipal corporation, RCF etc
Tata Power has recently installed an Automatic Meter Reading system for customers in Industrial & commercial segment as well as for energy meters installed on Distribution Transformers. 1

3. Objective of AMR system
To fully automate the process of meter reading and billing without any human intervention.
Faster detection of metering abnormalities, theft and network faults.
Monitoring and profiling energy consumption of consumers.
Provide load profile data to key customers on Tata Power Customer Portal.
Facilitate accurate Load forecasting.
Facilitate Demand Response Initiatives. 1

4. Important design consideration
Meters installed for Industrial & commercial consumers are of different makes. It was decided not to replace existing meters for the purpose of AMR.
The meters are read using API provided by meter manufactures as per MIOS standards.
The modems installed for AMR are designed to have bidirectional communication and remote configuration features and work on GPRS technology.
To manage large amount of meter data ,a Meter Data Management System (MDM) is installed. The MDM system generates many MIS reports which help in faster detection of metering abnormalities /theft /tamper etc . 1

5. AMR system architecture
AMR Data Centre
HT/ LT customers
Communication
technology
SAP PI
MDM
Middleware
MDAS
SAP Billing
server
Secured GPRS cloud
Web
server
Internet
Information to customer through internet

6. MDAS Meter Data Acquisition System (MDAS) :
A common Meter Data Acquisition System is deployed to read all makes of meters.
MDA system acquires meter raw data stored in the Modem memory.
Raw files received from different types of meters are processed through the respective API utility tools and converted into XML file.
A Web Interface is provided for the MDA system. A client can access instantaneous data collected from meter at 15 minute intervals.
Also, health status of all the installed modems, communication logs and events can be seen on the web portal. 1

7. MDAS- Web Portal 1

8. MDAS- Instantaneous Data1

9. MDAS- Alarms Reports 1

10. AMR equipment - MDMS Meter Data Management System (MDMS) :
Itron Enterprise Edition (IEE) is used as Meter Data Management (MDM) System.
MDM is the central repository for meter data and maintains interval data, event logs , register data & outage history for all the connected meters.
The MDM system has a facility to upload meter data read through CMRI. This facility is used to manage the data of meters not covered under AMR.
MDM validates meter data as per predefined validation rules to ensure that only correct data is sent for billing.
The MDM system provides many useful MIS reports 1

11. Middleware Middleware :
The SAP PI middleware is used for integrating MDAS, MDM and SAP billing system for seamless exchange of data.
The SAP PI system maps the meter CDF file with MDM system.
New meter creation or deletion is done in SAP system which is communicated to the MDM through the middleware. 1

12. MDMS Itron Enterprise Edition Platform
The MDM system has following functional elements
- Data collection, aggregation and analysis
- Validation, Editing & Estimation
- Report generation and status reporting
- Event list
- Customer Care
- Revenue Protection System
Utility Operational and Back-office Systems
Meter
Data Management
Customer
Care
Curtailment Manager
Revenue Protection
Suite
Itron Enterprise Edition Platform
Handheld AMR Solutions
C&I Meter and Collection Systems
AMI
Multiple Data Collection Systems 1

13. Reports available from MDM
1. Engineering Unit Report –
This report shows demand and consumption for a meter for a selected time range The Maximum, Minimum and Average values are also displayed. 1

14. Reports available from MDM
2. Coincident / Non Coincident peak demand report–
This report shows Coincident demand for a group of meters along with peak demands recorded by concerned meters individually. 1

15. Reports available from MDM
Coincident/Non Coincident peak Report– Cont..
This report also shows the load factor, diversity factor and coincident factor. 1

16. Reports available from MDM
3. Weekly Report for a meter–
This report shows demand or consumption data of a single channel for a period of one week. High, Low, and Sum of interval values for each day are available from this report. 1

17. Reports available from MDM
4. Missing Interval Data Report –
This report shows the intervals for which the data is missing in a given date range The report can be generated for a single meter or multiple meters. 1

18. Event reports from MDM 5. Events recorded by a meter –
This report provide details of events recorded by a meter for a given date range 1

19. Analytical Graphs from MDM.
Trending of load patterns ( Single channel) for a meter 1

20. Analytical Graphs from MDM
Trending of load patterns for a meter - multiple channels
(eg Kwh, Kvarh lag, Kvarh lead, Kvah) 1

21. Analytical Graphs from MDM
Comparison between load patterns of multiple meters: 1

22. Next steps To deploy AMR solution for cluster meters
To deploy AMR solution for DLMS meters
Enhance functionality of MDM
Prepare a plan for deployment of smart metering solutions.

23. IEE Revenue Protection Suite Customer Care
MDM Enhancement
IEE Revenue Protection Suite
Customer Care

24. RPS Focuses on Commercial Losses
Taxes
Financial Costs
O&M
Depreciation
Energy Purchased
Administrative Loss
Technical Loss
Commercial Loss
Profitability
Commercial Losses
Theft
Mis-metered
Un-metered / Unbilled
Theft from
known accounts:
Purposeful diversion of consumption to avoid accurate
Billing by customers known to the utility, which includes:
Unauthorized consumption
Self-reconnect
Stopped meters 24

25. IEE Revenue Protection
RPS Daily Workflow
Analytics application that helps utility Revenue Assurance teams identify tamper and theft
Data Upload
Correlates tamper events, field work orders, weather data, and customer usage to identify suspects
Includes workflow to trigger field work and track investigation status
Includes robust statistical model to compute customer baseline usage levels
Revenue Analysis Task
Candidates
The expected benefits of RPS are:
Quicker investigation and recovery of abnormal metering cases
Increases revenue recovery for unbilled electricity.
Improves operational efficiency of revenue investigation / Vigilance teams.
Reduces dependence on field staff to visually inspect meters.
First Suspect List
Final Suspect List
Investigation

26. RPS Application Architecture
IEE
Monthly Consumption
Baseline Model
Deviations Actual /
Predicted Consumptions
Other Estimation Models
Average Demand
Tamper Counts
Coincident Tamper Flags
Service Orders
Investigation Information
RPS Data Mart
- Readings Data
- Interval Data
- SIC/NAICS
- Tamper Events
- Service Orders
- User Defined Attributes
- Account Status
- Meter Status
- Daily Consumption
- Occupancy Change
- Meter Change-out
AMI, AMR Data Collection Systems
Daily feed
Weather Data
Utility In-House Data
All of external info (three buckets to the left) feed into the IEE platform and are extracted daily to the RPS Data Mart, from which all of the RPS calculations and analyses are run.
As part of the overnight batch process in the RPS datamart, we run analytics which calculate an estimated consumption for each account based on weather data and individual consumption history. Besides this estimated consumption many other useful metrics are calculated as you will be able to see during the demo. You will see in the demo that there are many other important The most powerful part of the RPS is the application is the RPS functionality which allows the RI to apply wide range of filters and thresholds for just about any data element in the RPS datamart. Once a final suspect list is created it can be exported for further analysis or an investigation can be initiated.
Once an investigation has started and as part of the investigation the status changes for instance from “Assigned to the field” to “Tamper found” then this new status can be uploaded to RPS and this additional information gets linked to the specific account. In this way the RI can track the status of actions taken on each suspect account.
Suspect List
RPS Application
Initiate Investigation 26

27. Usage Score How Baseline Consumption is Calculated
Each account is evaluated differently depending on its own consumption patterns over several months. The mean is different for each customer.
In this scenario, a consistent traveler standard deviation is much broader than the homebody’s.
Note that the baseline model calculates when someone is outside their standard usages, and this is calculated uniquely for each account.
Traveler’s Billed Consumption
Traveler’s Standard Deviation: 17.54
Homebody’s Standard Deviation: 4.62
Homebody’s Billed Consumption

28. Detailed View
The RPS Data mart stores only monthly consumption data. IEE stores all the data. RPS can calculate weekly and daily consumption values on-the-fly.
These values can be calculated for the drill down.
Daily and Weekly Consumption for Interval and Daily Register Reads
End of Month consumption for Monthly Register Reads
Weekly
Daily
If the data was collected from an interval channel the customer can drill down and look at the data on a weekly or daily resolution levels. Normally this step is only taken ones an account is considered suspect. 28

29. Suspect Account
Consumption dropped and tamper flags occur. No explanation for this behavior  Suspect account .
Consumption drop co-insides with tamper flags. No Service order, occupancy change, account or meter status or any other of the available information can explain the tamper flags or the consumption drop. This is a suspect account and should be investigated in the field. 29

30. IEE Customer Care

31. Evolving Customer Service Goals
Sell Energy
Generate Revenue
Raise Customer Sat
Market Optimal Use
Complete Automation/ Control
Increasing Service Complexity
Personalized, Optimized Recommendations
Alerts, Online Energy Education
Interactive Tools/Services,
Real-time system info
Online Bill Pay
Paper Bill
Online Information
Auto Pay
Auto Banking
Internet
Smart Meters
Smart Homes
Technological Sophistication

32. C&I - Load Analysis
View daily and average weekly and monthly load profiles.
Identify operational and scheduling anomalies
Load variations by month, week, season and day type
TOU summary statistics
Rank peak loads
View average hourly consumption levels and load duration curve.
View load duration curve for weekday, weekend, and all days

33. C&I - Usage Analysis View usage for selected time period
View summary statistics such as load factor; average, min, and max demand
Compare to prior periods
Display results aggregated to different levels (day/week/month)

34. Usage Portlet for retail consumers

35. Usage Portlet – Day View

36. Usage Portlet Comparison View

37. Usage Portlet – Week View

38. Usage Portlet - Month View

39. Usage Portlet – Year View

40. Usage Portlet – Table View

41. Table View – With Comparison

42. Usage Port let - Highlights
Configurable notes built around a list of variables
Optionally, associate icons with notes. Conditional text formatting
Total use increased 1%.
On-peak use decreased 2%
Average Temperature decreased 3°F
CO2 Consumption was 795 lbs.

43. Asset Management – Better Data Means Better Results
How do actual rather than estimated loads affect distribution asset analysis and design?
How do automated design tools impact design quality and enforcement of engineering standards?
Are my transformers over-loaded? Under-loaded?
Can I reduce O&M expense and / or capital expenditures?
Distribution Asset Analysis & Design
Distribution Asset Monitoring & Control
Can I use the AMI infrastructure to monitor distribution circuits and automate distribution operations?
What are my distribution circuit loads
Can I remotely monitor and control capacitor banks?
Can I monitor power quality?
Asset Management
Portal
Sample Asset management using IEE
Provide simple Transformer Load Management overloaded tx calculations
Aggregate usage to transformer
Compare against transformer name plate rating
Calculate overload %
Provide list, sorted by % overloaded, color coded

44. First Steps towards Smart Grid
Future Road Map
First Steps towards Smart Grid

45. Smart Metering solution
Pilot on Smart Grid:
It is proposed to install one pilot towards implementation of Smart Grid initiatives. This would include smart metering, Home Area Network (HAN) with energy gateway which can be used for following functions:
- Demand Response Signaling.
- Provision of Customer Energy Usage Information to In-Home Displays.
- Control Activation/Deactivation of HAN Appliances.
- Remote connection/disconnection.
- Real time pricing signals 1

46. Pilot project Agenda Pilot Project Objectives AMI Pilot Project Scope
AMI Customer Benefits

47. Pilot Project Objectives
To enhance business case for a full rollout of Smart metering solution based on experience of Pilot project with current AMI technology.
To understand customers’ interests in and concerns about AMI through personal contact.
To study the meter data collected by the meter data management system and determine its value for various customers and operational purposes as below
flexible rates
demand response mechanisms
transformer load management
outage detection

48. Pilot Project Objectives
To evaluate the potential value of remote equipment control, thermostats, and other energy conservation features
To evaluate electricity meters with a load limiting/disconnect switch
To evaluate customer interest & experience in Home Area Display Units

49. AMI Pilot Scope
Trials for following communication technologies - GPRS - RF Mesh / Zigbee
- Power Line Carrier
Install MDAS for above technologies
Integration of multiple MDAS with MDMS
Revenue Protection
Transformer Load Management
Customer Care Applications

50. Pilot project architecture

51. Targeted Customer Benefits
Convenience - customer has access to their own data - accurate timely meter reads without intrusion in their property
Consumption and Demand Response Control - interval data for time of use rates - smart thermostats - load limiting disconnect switch
Reliability - reduced outage times - proactive load and voltage data

52. Targeted Customer Benefits
Power Quality - accurate timely load and voltage information for Network planning
Utility/Customer Business Savings - meter reading cost
- asset management - outage management - theft reduction - other operational savings

53. Future is in modularity
2 “Plug & Play” Field Swappable Modules (FSM)
Extended options for communication to the host (LAN/WAN):
GPRS, 3G, Ethernet, PLC, Mesh RF etc...
Wireless communication in the home (HAN):
Zigbee, Mbus Wireless, RF433MHz etc...
Modularity is key to ensuring that the utility will not be tied down to one specific communication type
Itron’s new metering and communication platform is designed on a modular architecture, accommodating not one but two external, field swappable modules affording various communication technologies (PLC, GPRS, UMTS/3G, Ethernet, Mesh RF, Zigbee, MBus wireless, etc.). This translates into easy adaptability of communications to both the local area network (LAN) and the home area network (HAN), as requirements and technologies evolve.
Remarks:
The FSM2, for the HAN Can support two interfaces simultaneously (e.g. ZigBee + M-Bus)
Optional fixed communication port:  Mbus wire

54. FSM 1: communication to the head end system
GPRS, 3G, Ethernet, …
First version/release of the meter platform will cover PLC SFSK, GPRS, 3G UMTS & Ethernet
The next releases will be PLC OFDM PRIME or Mesh RF depending on market opportunity
PLC OFDM PRIME vs PRIME G3: what is the best?
=> no specific advice. We are involved in both alliances. Once we have return from experience (PRIME Meter from itron Q3 2012, Linky G3 pilot expected in 2012), we will be in better position to compare.
=> We will integrate whatever market is requiring (provision has been made to be able to manage both)
IPV6 with PLC OFDM G3
IPV6 ready with 3G/UMTS (network operator dependant)
Mesh RF:
- already expertise from the US (Openway Cisco IPV6)
- also other technology under evalution
- selection under discussion
- mainly depend on customer requirement
- no new meter development, just FSM development needed
- will be based on open standard
Remark: of course Data concentrator, or gateway, will be part of end to end offering. Supporting any communication media choosen, or protocol
PLC S-FSK G1
PLC OFDM PRIME
PLC OFDM G3
Mesh RF

55. FSM 2: COMMUNICATION IN THE HOME

56. What’s Next? Smart homes The "smart" meter can be utilized to:
Read the meter both locally and remotely (on demand)
As a sensor
Remote limitation of the throughput through the meter to control demand
Interconnection to premise-based networks and devices, remote control of meters within home
Remote provisioning of services (e.g. Security)
The opportunities are endless…
Allow customers to have fun with High tech products the way they were meant to be ....
Control almost anything:
Lighting
Security Systems
Thermostats
Remote controlled devices
Home controls
Traditional/
AMR meter
Manual/
Automated
reading
Interface
Utility database
Smart meter
Gateway
AMI Infrastructure
How Smart metering is different from Traditional metering

57. Thanks for patient hearing.