The document outlines the advancements in Meter Data Management (MDM) 2.0, emphasizing its role as a comprehensive system that improves data integration, operational efficiency, and utility management through analytics and real-time monitoring. It discusses the importance of integrating MDM with other enterprise systems, such as GIS and outage management, to enhance outage detection, optimize asset planning, and prevent losses due to theft. The paper concludes that leveraging MDM leads to greater service reliability, cost savings, and the ability to meet increasing energy demands sustainably.

1. Meter Data Management 2.0
New levels of enterprise integration and analytics to improve utility business
operation
July 2012
Make the most of your energy SM

2. Summary
Executive Summary . ................................................................................... p 1
Introduction ................................................................................................. p 2
Start with data storage and analytics ........................................................... p 4
Integration across the enterprise .................................................................. p 5
Work Management....................................................................................... p 6
Outage Management. .................................................................................. p 7
.
Operational and business network losses .................................................... p 8
Load profiling and planning........................................................................... p 9
Visualization . ............................................................................................... p 10
Conclusion................................................................................................... p 11

3. Leveraging AMI for Outage Management
Executive summary
The fact that a Meter Data Management (MDM) system is the single, secure
repository for the millions of data points collected by an AMI makes it the logical
solution for data analytics such as validation, editing and estimation that improve
the accuracy of billing information. Yet, as a single-source system of record,
the MDM also is the starting point for integration of meter-read data with other
enterprise systems to improve real-time efficiency of network operations and
business processes.
The MDM with meter modeling components and standardized connectivity can
integrate with the utility geodatabase (GIS) and outage management system
(OMS) to significantly streamline outage detection and restoration verification.
MDM integrated with the utility supervisory control and data acquisition (SCADA)
system or distribution management system (DMS) allows comparison of
information at substation/net-stations with aggregated meter data to detect
potential theft or network loss during distribution. Similar aggregate comparison
helps analyze power quality, identify demand trending and forecast demand.
These network analysis capabilities empower accurate asset planning and the
utility’s ability to meet demand without adding more capacity.
In all of these enterprise-level functions, MDM integration with the GIS provides
valuable visualization that facilitates operator and analyst identification of areas of
concern or opportunity.
The real-time network intelligence possible with such a powerful MDM solution can
return substantial benefits to several utility operations and business processes —
well beyond the initial-level billing accuracy improvement.
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4. Leveraging AMI for Outage Management
Introduction
According to the “2012 Smart Grid Executive Survey” from Zpryme Research
and Consulting, more than 52 million smart meters will be installed in the
United States by the end of 2012, signaling an industry-wide expansion of
the advanced metering infrastructure (AMI). Already, smart meters are feeding
hundreds of thousands of readings per day to utilities, providing critical data in
near real-time.
To enable the utility to cope with the sheer numbers of data points flowing in,
and then effectively use this data, every AMI has a Meter Data Management
(MDM) system that serves as a central information depot. These powerful
solutions perform critical Validation, Estimation, and Editing (VEE) functions
before sending data on to the utility’s CIS. These VEE functions ensure the
accuracy and timeliness of billing and have been the primary purpose of MDM
systems for some time.
However, the data generated by the AMI and processed by the MDM provides
a wealth of information that utilities can put to work in real time, beyond
accurate billing. This information provides the entire enterprise, even customers
themselves, insight into energy consumption patterns. Powerful analytic
calculation engines integrated with the MDM system can develop trends and
insights that can be hugely beneficial in future infrastructure or distribution
planning. Yet, often this valuable information is left on the table and not exploited
to improve distribution management and consumer options — and to help the
utility move forward toward its Smart Grid goals.
In this paper, we discuss how innovative MDM solutions can integrate with utility
enterprise systems to offer a new doorway to better business and operational
improvements.
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5. Meter Data Management 2.0

6. Meter Data Management 2.0
Start with data storage and analytics
Consider the amount of data your AMI generates,
even with 250,000 meters, each reading two data
values (e.g. kw, and kwh) four times an hour: this AMI
produces at least 2 million data values an hour, 48
million a day and 17,520 million a year.
A core feature to extracting the most value from the
AMI is a single, secure database where the millions of
data points being collected from multiple sources can
be stored and integrated. The MDM data collection
application automatically identifies meters, configures
data points and can measure consumption at
different time intervals to support time-based variable
rates. It also can collect different reading types, such
as kwh, kw and power quality.
With the single database, the MDM system with
highly precise VEE functions can draw from historical
data to check data integrity; identify missing readings,
invalid meter multipliers and meter tampering; and
replace any missing data with accurate estimates.
Configurable rules can specify which validations/
estimations to apply and how to apply them. This
flexible framework creates custom validations that
support specific workflows.
For example, if the system gets a full day’s worth of
data, and some data points are missing in the middle,
it can either interpolate the data, look at consumption
data for a similar day for that customer, or look at
average consumption data for this customer type —
such as single family apartment — for that day, to
replace the missing data with an accurate estimate.
Alternatively, the MDM system can issue automatic
re-read requests when missing data cannot be
estimated.
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7. Meter Data Management 2.0
Integration across the enterprise
MDM provides not only a single-source system
of record for meter-read data, but also a point
of integration of that data with other enterprise
systems; see Figure 1. The MDM system with meter
modeling components and standardized connectivity
can integrate with the utility geodatabase (GIS),
distribution management system (DMS), supervisory
control and data acquisition (SCADA) system and
outage management system (OMS) to support
identification of network outages, losses, overloading,
theft and load forecasts.
Visual Displays
G G
G G
Business Gateway: Incoming Data & Queries
CIS
CIS
Business Gateway: Outgoing Notifications
Desktop Smart Client Web Thin Client
MDM Main Components
WMS
OMS
Data Aggregation Reporting Engine Rate Structures
Verification, Estimation Meter Modeling
and Editing
Distributed Real-time Data Collection
…
…
Real-time Database
Smart Connector Collection
SCADA/
DMS
G
G
…
DA
Smart Connector Smart Connector Smart Connector
G G G
Figure 1. The Telvent Conductor MDM shares AMI data with key business and operational
applications in real time, to improve efficiency and support decision making across the
enterprise.
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8. Meter Data Management 2.0
Work management
The ability of the MDM system to identify meters
exhibiting abnormal performance enables the initiation
of appropriate action. In the instance when the MDM
cannot estimate missing data based on defined
parameters or analytics results, as described above,
integration with a Work Management System (WMS)
can trigger the necessary workflow for the meter
involved. For example, a work order could be issued
if a meter indicates a roll back status, has an isolated
outage, has a specific type of firmware or has shown
to fail under specific operating conditions (last gasp
+outside temperature +spike check).
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9. Meter Data Management 2.0
Outage Management
With near-real-time readings coming in from meters,
MDM systems quickly identify meters that are
returning ‘last gasp’ messages, signaling a potential
power outage. An OMS with enhanced processing
power and advanced prediction algorithms,
integrated with the MDM, will accurately identify the
outage event and rapidly determine the scope.
The MDM system also can contribute event
notifications from non-meter devices higher on the
network. The OMS can prioritize those events and
rapidly identify related downstream locations — all to
implement faster response and restoration.
The MDM system also helps in verifying outage
status and optimizing restoration efficiency by actively
pinging meters to determine their power status. This
capability helps the utility prevent over-prediction
of outages and identify nested outages during
restoration, providing specific information to field
restoration crews and reducing additional trips into
the field.
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10. Meter Data Management 2.0
Operational and business network
losses
With readings automatically collected on a regular
basis, in real time, AMI and MDM implementation also MDM integrated with an Advanced DMS
(ADMS) supports operational excellence
eliminates truck rolls into the field for everyday meter
through:
readings.
• ower quality and network analysis —
P
However, those meter technicians also provided a
voltage and current information from
monthly field inspection of each meter while collecting strategic nodes helps improve state
the reading, imparting the first line of defense estimation.
against meter alteration for theft purposes. Without
in-person monthly inspections, that defense might • emand-side management — more
D
be greatly reduced. New MDM systems fill this void intelligent data helps the utility grow without
with built-in analysis tools that can compare real- adding more capacity.
time data to historical trends from the same meter or
similar customers. This analysis can identify patterns
that suggest theft or tampering, and automatically
generate a work report for the revenue department
and field teams to investigate.
In addition, the integration of the MDM system with
SCADA or DMS allows aggregate comparisons of
energy supply and demand load, helping to identify
potential theft or network loss. For example, the MDM
system can aggregate usage data from all the meters
tied to a specific feeder and compare those figures to
the power delivered to that feeder. Aggregated usage
figures that are significantly less can signal the utility
of potential theft or network loss during transmission.
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11. Meter Data Management 2.0
Load profiling and planning
Similar aggregate comparison can assist utilities in
analyzing the network and planning for the near and
long term. This capability can be highly valuable for
utilities facing the challenges of increasing energy
demands and a more complex energy generation
distribution. MDM systems create advanced network
load projections by leveraging the meter-read
database to identify demand trending and forecast
demand during key periods, such as peak load or
storm situations.
With this information, utilities can manage peak
loads and plan for increasing energy demands
more effectively, reduce the need to add generation
capacity and take advantage of distributed sources
of renewable energy generation. By integrating MDM
systems with DMS solutions and accurate weather
feeds, utilities can optimize the performance of
existing networks and achieve key environmental and
business goals.
Similar benefits can be seen on a smaller scale,
by aggregating the data from individual meters to
determine the load on transformers and higher level
devices and identifying equipment that should be
replaced in order to optimize asset performance.
For example, existing residential infrastructure might
become ineffective with the introduction of electric
vehicles. MDM can identify for utilities where load
demand has exceeded rated capacity, allowing the
utility to replace the device before a more expensive
and disruptive event, such as a blown transformer,
occurs.
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12. Meter Data Management 2.0
Visualization
All of these enterprise businesses gain tremendous The tools described above, available with an
value through the visualization enabled by the advanced MDM solution, help the utility extract the
integration of the MDM and the GIS database, which true return on investment from AMI implementation,
provides a clear display of network information, data providing highly valuable intelligence that enables a
and AMI deployment; see Figure 2. During power better understanding of the network and its real-
outage situations, this display allows controllers time behavior. As more and more utilities realize
to view the size and scope of the outage. A visual MDM capabilities beyond simple meter-to-cash
identification of geographic areas at high risk for theft functionality, the industry can expect they will
can help the utility manage business loss. integrate MDM across all operational enterprises to
help achieve a smarter network grid.
Figure 2. The visualization enabled by the integration of the MDM and the GIS database
can assist controllers by spatially displaying areas of projected concern or opportunity.
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13. Meter Data Management 2.0
Conclusion
With the rich repository of network intelligence possible with MDM, utilities can
squeeze every network performance benefit possible from their AMI initiative:
• fficiency and cost savings are realized with system interoperability, reduced IT
E
costs, reduction of peak demand, and optimized forecasting of demand.
• ervice reliability increases through a more efficient distribution network,
S
management of peak loads without additional generation capacity, and
improved outage management.
• he utility is better able to extend the network with renewable sources and
T
achieve GHG emissions goals.
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14. ©2012 Schneider Electric. All rights reserved.
Schneider Electric USA, Inc.
4701 Royal Vista Circle
Fort Collins, CO 80528
Phone: -866-537-1091
1
+ (34) 9-17-14-70-02
Fax: 1-970-223-5577
www.schneider-electric.com/us
June 2012