AMI and the Smart Grid

© 2008 Eventure Events. All rights reserved.

AMI and the Smart Grid

Ron Jarvis


Siemens Energy, Inc

Larsh Johnson

eMeter Corp.

Smart Grid Definitions

•
Different Things to Different Utilities

•
Fuzzy Definition
–

Coverage from Generation to
Consumer

•
DA, AMI, Communications, Asset Management

•
Generally Implementation of Pertinent Subsets


Smart Grid Characteristics

•
Enables active participation by consumers

•
Accommodates all generation and storage options

•
Enables new products, services and markets

•
Provides power quality for the digital economy

•
Optimizes asset utilization and operates efficiently

•
Anticipates & responds to system disturbances (self
-
heals)

•
Operates resiliently against attack and natural disaster

•
Source: DOE Modern Grid Initative

Overall Change in Design Criteria

•
30
-
50 Years Ago

–
Regulated Business Model

–
Large Remote Generation

–
Less Restrictive Environmental Constraints

–
“Overbuild” to Account for Reliability and Load Growth

–
“Understanding” Customer Base


•
Now

–
Equivalent or Increased Reliability Objectives

–
Customer More Sensitive and less tolerant of Outages and Power Quality

–
Emerging “Customer Choice”

–
Significant Emission Restrictions

–
Distributed and Renewable Energy Resources

–
Infrastructure Overbuild Limitations

–
Equipment Utilization Approaching Design Limitations in Loading and Lifecycle

–
Compounded by Aging Workforce Issues


A Smarter, Greener Smart Grid

Source: European Technology Platform SmartGrids, Vision and Strategy for Europe’s Electricity Networks of the Future, V4.0, 2
4.2
.2006

Smart Grid Enabling Platform…

3 Pillars of Domain Expertise

Smart Grid is a transformation to an
information
-
enabled and highly
interconnected network between
electricity Consumers and Suppliers
(both T&D and generation)

Communications

Technology

Information

Technology

Power Production/

Delivery Technology

From
To
Limited Consumer Choice
Many Consumer choices
One Way Communication
Two Way Communication
Few Sensors & Analog
Pervasive Monitoring &
control
Digital Control
Reactive Maintenance
Condition-based Mainten.
Few Consumer choices
Many Consumer choices
Blind
Self Monitoring
Elements of a Smart Grid

Load Development (profile & season)


Use of micro/distributed generation


Advantageous control methods


Reliability contribution


Virtual Generation Planning


Anticipative reconfiguration for:

•
Contingencies

•
Losses

•
Voltage Profile

•
Micro Generation Utilization

•
Short Circuit Duty


On
-
the
-
fly:

•
Contingency Planning

•
Reconfiguration

•
Losses

•
Voltage Profiling

•
Micro Generation Scheduling


RELIABILITY AND

EFFICIENCY PLANNING

MANAGED OPERATIONAL

RELIABILITY

Reconfiguration for reliability


Strategic switching placement

and strategies


Auxiliary device control and

measurement


Local generation management


Catastrophic weather planning on
-
the
-
fly:

•
Local Area Severity Anticipation

•
Reconfiguration

•
Reconnection

•
Crew Management and Dispatch


Automated outage:

•
Identification and Logging

•
Reconfiguration based on Last Status

•
Local Generation Dispatch


Equipment:

•
Condition Monitoring

•
Alarming

•
Forecast Loading vs. Capability

•
Condition Assessment

•
Crew Work Order Generation

•
JIT Service Kit Inventory


Asset Location/Relocation Based on

Field Experience and Measurement

RESOURCE OPTIMIZATION



Smart Grid

Segments of a Smart Grid



Smart

Generation



Smart Grid

Offshore

Wind Power

Distant

Solar Power

Distributed

Energy
Resources

Power


Electronics

Substation


Automation &

Protection

Condition

Monitoring

Distribution

Automation &

Protection

Smart

Meters / Demand

Response

Industrial &

Commercial

Loads

Residential

Loads

PHEV, EV

Transmission Grid

Distribution Grid

Decision Support

System Integrity

Protection

Advanced

Energy Mgmt

System (EMS)

Asset

Management

Distribution

Management

Systems (DMS)

Meter Data

Management

(MDM)

Smart

Consumption

PHEV, EV

PLANNING & MODELING

BACKOFFICE / FRONT OFFICE

Common Information Models and Communications Protocols

RELIABILITY AND

EFFICIENCY PLANNING

MANAGED OPERATIONAL

RELIABILITY

RESOURCE OPTIMIZATION

Solutions Landscape: Elements

Communi
-

cations

Control

Analysis


In Plant (LAN)

Enterprise


Distribution SCADA


Outage Mgmt Sys


Mobile Work Force Mgmt


Energy Market Mgmt (O)


Trans Network Analysis


Op Training Simulator


Distributed Control


System


Cell


BPL


µWave



PLC, WIFI, WIMAX


BPL


Manual


Dist Network Application


Dist Training Simulator


Energy Market
Management (P)


Gen Optimization


SCADA


Auto Gen Control



Demand Response


(Utility)


Satellite


Fiber


Auto Meter Reading


DR (Customer)


Dist Auto


Cap Banks


Switches


µ
Wave


Radio


Telephone


Fiber


Radio

Engineering & Planning

Asset Performance Management System

Generation Planning

Common Modeling

Historical Information


Reclosers


Tiered Cont.


Xfrmrs



RTUs, Data
Concentrators


GTs, CCP, ST, WP


Breakers


Xfrmrs


Volt Regs


Cap Banks


FACTS/SVCs


Environ

Transmission

Distribution

Consumer

Generation


Dist Network Application


Dist Training Simulator


Apparatus
& Device

Solutions Landscape: Layers

Transmission

Distribution

Consumer

Generation

Communi
-

cations

Control

Analysis


In Plant (LAN)

Enterprise


Distribution SCADA


Outage Mgmt Sys


Mobile Work Force Mgmt


Energy Market Mgmt (O)


Trans Network Analysis


Op Training Simulator


Distributed Control


System


Cell


BPL


µWave



PLC, WIFI, WIMAX


BPL


Manual


Dist Network Application


Dist Training Simulator


Energy Market
Management (P)


Gen Optimization


SCADA


Auto Gen Control



Demand Side Mgmt


(Utility)


Satellite


Fiber


Auto Meter Reading


DSM (Customer)


Dist Auto


Cap Banks


Switches


µ
Wave


Radio


Telephone


Fiber


Radio

Engineering & Planning

Asset Performance Management System

Generation Planning

Common Modeling

Historical Information


Reclosers


Tiered Cont.


Xfrmrs



RTUs, Data
Concentrators


GTs, CCP, ST, WP


Breakers


Xfrmrs


Volt Regs


Cap Banks


FACTS/SVCs


Environ


Dist Network Application


Dist Training Simulator


Apparatus
& Device

Knowledge
-
Based Decision Support

Real
-
Time Integrated Operations

Enterprise
-
Wide Resource Optimization

Distributed Intelligent Apparatus/Devices

Ubiquitous Cost
-
Effective Communications

Solutions Landscape: Solution Groups

Communi
-

cations

Control

Analysis


In Plant (LAN)

Enterprise


Distribution SCADA


Outage Mgmt Sys


Mobile Work Force Mgmt


Energy Market Mgmt (O)


Trans Network Analysis


Op Training Simulator


Distributed Control


System


Cell


BPL


µWave



PLC, WIFI, WIMAX


BPL


Manual


Dist Network Application


Dist Training Simulator


Energy Market
Management (P)


Gen Optimization


SCADA


Auto Gen Control



Demand Side Mgmt


(Utility)


Satellite


Fiber


Auto Meter Reading


DSM (Customer)


Dist Auto


Cap Banks


Switches


µ
Wave


Radio


Telephone


Fiber


Radio

Engineering & Planning

Asset Performance Management System

Generation Planning

Common Modeling

Historical Information


Reclosers


Tiered Cont.


Xfrmrs



RTUs, Data
Concentrators


GTs, CCP, ST, WP


Breakers


Xfrmrs


Volt Regs


Cap Banks


FACTS/SVCs


Environ

Transmission

Distribution

Consumer

Generation


Dist Network Application


Dist Training Simulator


Apparatus
& Device

DMS

DMS with DSM

EMS

EMM

(Mkt. Operators)

EMM

(Participants)

Solutions Landscape: Elements

Communi
-

cations

Control

Analysis


In Plant (LAN)

Enterprise


Distribution SCADA


Outage Mgmt Sys


Mobile Work Force Mgmt


Energy Market Mgmt (O)


Trans Network Analysis


Op Training Simulator


Distributed Control


System


Cell


BPL


µWave



PLC, WIFI, WIMAX


BPL


Manual


Dist Network Application


Dist Training Simulator


Energy Market
Management (P)


Gen Optimization


SCADA


Auto Gen Control



Demand Side Mgmt


(Utility)


Satellite


Fiber


Auto Meter Reading


DSM (Customer)


Dist Auto


Cap Banks


Switches


µ
Wave


Radio


Telephone


Fiber


Radio

Engineering & Planning

Asset Performance Management System

Generation Planning

Common Modeling

Historical Information


Reclosers


Tiered Cont.


Xfrmrs



RTUs, Data
Concentrators


GTs, CCP, ST, WP


Breakers


Xfrmrs


Volt Regs


Cap Banks


FACTS/SVCs


Environ

Transmission

Distribution

Consumer

Generation


Dist Network Application


Dist Training Simulator


Apparatus
& Device

Smart

Grid

SmartGen

SmartSubstation

SmartHome,
Facility, Appliance

SmartGear

Transformation to a Smart Grid

Movement From a Static As
-
Designed Infrastructure to
a Proactive Intelligent Infrastructure and Operation

From:

•
Manual Inspection & Reads

•
Periodic Maintenance

•
Upstream Control, Stimulus/Response
Protection, Manual Switching, and

Trouble Response

•
General Knowledge of Related
Environment Conditions

•
Physical Security

To:

•
Self Monitoring, Diagnosis,
Reporting, and Historical Tracking

•
Prioritized Condition Based
Predictive Maintenance

•
Localized Distributed Decisions and
Automatic Response, Predictive
Avoidance

•
Time
-
Correlated Environment,
Operational and Non
-
Operational
Information

•
Intelligent Remote Monitoring and
Detection

The Integrated Utility Enterprise:

Leveraging Smart Grid

Communi
-

cations

Control

Analysis


In Plant (LAN)

Enterprise


Distribution SCADA


Outage Mgmt Sys


Mobile Work Force Mgmt


Energy Market Mgmt (O)


Trans Network Analysis


Op Training Simulator


Distributed Control


System


Cell


BPL


µWave



PLC, WIFI, WIMAX


BPL


Manual


Dist Network Application


Dist Training Simulator


Energy Market
Management (P)


Gen Optimization


SCADA


Auto Gen Control



Demand Side Mgmt


(Utility)


Satellite


Fiber


Auto Meter Reading


DSM (Customer)


Dist Auto


Cap Banks


Switches


µ
Wave


Radio


Telephone


Fiber


Radio

Engineering & Planning

Asset Performance Management System

Generation Planning

Common Modeling

Historical Information


Reclosers


Tiered Cont.


Xfrmrs



RTUs, Data
Concentrators


GTs, CCP, ST, WP


Breakers


Xfrmrs


Volt Regs


Cap Banks


FACTS/SVCs


Environ

Transmission

Distribution

Consumer

Generation


Dist Network Application


Dist Training Simulator


Apparatus
& Device

SmartGen

SmartSubstation

SmartHome,
Facility, Appliance

SmartGear

Integrated

Utility


Front

Office

Smart
Grid

The Integrated Utility Enterprise:

Leveraging Smart Grid

Communi
-

cations

Control

Analysis


In Plant (LAN)

Enterprise


Distribution SCADA


Outage Mgmt Sys


Mobile Work Force Mgmt


Energy Market Mgmt (O)


Trans Network Analysis


Op Training Simulator


Distributed Control


System


Cell


BPL


µWave



PLC, WIFI, WIMAX


BPL


Manual


Dist Network Application


Dist Training Simulator


Energy Market
Management (P)


Gen Optimization


SCADA


Auto Gen Control



Demand Side Mgmt


(Utility)


Satellite


Fiber


Auto Meter Reading


DSM (Customer)


Dist Auto


Cap Banks


Switches


µ
Wave


Radio


Telephone


Fiber


Radio

Engineering & Planning

Asset Performance Management System

Generation Planning

Common Modeling

Historical Information


Reclosers


Tiered Cont.


Xfrmrs



RTUs, Data
Concentrators


GTs, CCP, ST, WP


Breakers


Xfrmrs


Volt Regs


Cap Banks


FACTS/SVCs


Environ

Transmission

Distribution

Consumer

Generation


Dist Network Application


Dist Training Simulator


Apparatus
& Device

SmartGen

EMM

SmartSubstation

EMS/EMM

SmartHome

DMS with DSM

SmartGear

DMS

Integrated

Utility


Front

Office

Smart
Grid

Some Operational Impacts

Example: Intelligent Alarm Management

Crew Resource
Assessment


Identify
Appropriate
Crew


Proximity
to Fault


Experience


Crew Type


Equipment


….



Optimize
Response

Cause
Filtering


Fault Record
Analysis


Fault Type


Location


Probable
Equipment


Environment
Correlation

Alarm

Burst

Abnormal Priority
Filtering


Prioritize


Critical
Customer


Medical


Police/Fire


# Out


….



Protection

Delay

Rapid

Navigation

Analyze

Area Filtering


Area


Substation


Feeder


Equipment


Normal


Abnormal


Present /
Dispatch

Restoration
Options

Clue/Knowledge

Development

Outage
Visualization

* Normal Filtering as Later Priority

** Integration with Asset Management/Maintenance

Impacts on Reliability and Business
Options

•
Asset Performance Monitoring Programs (Local/Centralized)

–
Transformer Condition Monitoring

–
Breaker Condition Monitoring

–
Capacitor Bank Monitoring

–
Non
-
Operational Information

–
Physical Security and Intrusion Detection


•
True Supervisory Coordination

–
Substation Monitors Feeder Load and Voltage Trajectories

–
Proactive Warning to Operators When Within Specified Range

–
Remote Assessment and Decision Guidance

–
Modify Loading and/or Protection Settings


•
Feeder and Feeder Phase Balancing

–
Better Loss Profiles and Loading

–
More Options for Operations


Impacts on Reliability and Business
Options

•
Transmission VAr Support

–
Accurate Voltage Profiles

–
Distribution Capacitor Banks Applied to Transmission VAr Needs

•
Tiered Load Optimization Programs

–
Market Options

–
Prioritized Load Profiles and Contracts

–
Optimized Distributed Generations and Energy Storage/Use (VPP)

–
Voltage Reduction

–
Surgical Load Reduction (selected Feeders and Devices)

•
“Networked” Operation and Automation Strategy

–
Intelligent Substation Controllers Coordinating Field Devices

–
Circulating Current Detection and Automated Response

–
Automated Fault Isolation and Partial Restoration

•
Premium Power Parks and Guaranteed Service Contracts


The Totally Integrated Utility

Enterprise Data Integration Platform

GIS

Maint &
Work

Mgmt.

Sub Station

Automation

Distribution

Automation

CIS & IVR
Systems

ERP,

Inventory


& Others

Meter Data
Acquisition

Financial

Metering and Automation

Facility Management

Enterprise Applications

Customer

Management

T & D Engineering and Operations

Engineering and Operations Dashboard

Asset Operations and Maintenance Process Efficiency, facilitated by:

1.
Automation
–

devices and infrastructure


2.
Real
-
time Modeling
–

real
-
time build & maintain

3.
Historical data retention and enterprise integration
–

Data Historian & Systems Integration


4.
Integrated Information and User Environments
–

Process re
-
design

5.
Analysis and Knowledge Applications

T
-
Operation

Dashboard

Transmission SCADA

Transmission
Applications

TMS

Distribution SCADA

Distribution
Applications

D
-
Operation

Dashboard

Outage

Management

DMS

DAQ

Model
Manager

AMS

HIS

Asset Mgr

Dashboard

Asset

Analysis
Apps

Scheduling

Applications

Market Applications

EMM

Dashboard

CRM

EMM

System

Integration Services

A Data Model View of Smart Grid

Rural

Suburban

Industrial

Commercial

Substation

Planning

Operations

Asset Mgmt

Settlement &

Cost Mgmt

Data Uses

& Sources

Meter Data

Actual & Virtual

•
kW (Demand)

•
kWhr (Interval)

•
kVar (Interval)

•
Voltage (Current& Average)

•
Harmonics (Industrial)

•
Meter / HAN Device status

•
Meter/HAN Device location

•
Meter/HAN Circuit location

•
Meter/HAN configuration

•
Communication status

•
Billing determinates

•
Settlement determinates

•
Tamper Detection

•
Meter Connect/Disconnect

•
HAN Device Set
-
point


Actual & Virtual (Seasonal)

•
kW (Demand)

•
kWhr (Interval)

•
kVar (Interval)

•
Voltage (Current& Average)

•
Harmonics (Industrial)

Grid &

Asset Data

•
Distributed generation and
Grid asset status

•
Instantaneous data

Amps, Volts, Power Factor

•
Alarms

•
Settings

•
Asset sensor data

Temperature

I
2
T, Waveform, etc..

•
Operational data

•
Maintenance data

•
Circuit and GIS location

•
Asset Capacity

•
Asset Configuration

•
Asset Specification

•
Technical losses

Smart Grid

Data

•
Asset loading

•
Grid reliability contribution

•
Distributed generation control
strategy

•
Outage and restoration status

•
Loading & configuration status

•
Distributed generation
availability and set
-
point


•
Asset condition and
performance based monitoring


•
Energy market cost

•
Technical losses cost

•
Demand response

•
Customer Energy mgmt

•
Pricing program mgmt

Data Integration and Analysis

Data Acquisition and Communication Systems

Data

Importer


One View of Smart Grid Systems

Rural

Suburban

Industrial

Commercial

Substation

IP Based Wireless Broadband Network

IEC 61850 Grid Asset Communication 256kbits+

IP Based Metering Network 56k to 128kbits

Extension of IEC 61850

Outside substation

VEE

Services

DRM

Contol

Services

C/DC

Services

DRM

Mgmt

Services

Meter Data

Analysis

& Reporting

Systems

&

Service

Mgmt

Data

Sync

Engine



AMI Mgmt

& MUDR

Databases

Core

Billing

Services


System &

User

Admin

MDUS Services

Energy IP Message Services

AMI

Adapter


AMI Network

Gateway

Server(s)

Distribution Grid

Gateway

Server

Substation

Gateway

Server

SAP

IS
-
U

CRM

EAM

Ops Data

Historian

OMS

WFM

GIS

DMS

ODMS

CIM Compliant

Data Model Mgmt

For all applications

Backhaul Systems

EMS

Control Center Service Bus

Enterprise Service Bus

DRACS

Advanced

Billing

Services


AMI

Adapter


Real

Time

Event

Services

Legacy Meter

Reading Systems


Aggreg
-

tion

Services

Real

Time

Event

Handlng

NERC
-
CIP Compliant Domain

Real
-
time

Services

What is AMI?

•
At least hourly interval data
–

delivered daily
–

for
all customers

•
Meters with two
-
way communications including
control

Smart Grid Networks

Typical AMI networks

•
$75 devices

•
millions of devices

•
3 to 4 data scans per day

•
15 minute samples

•
30
-
60 second latency

•
2+ “9s” reliability (99%)

•
private+carrier

Typical SCADA networks

•
$2,500 RTU devices

•
hundreds of RTUs

•
6 second scans

•
6 second sample

•
<2 second latency

•
4 “9s” reliability (99.99%)

•
private


Plan applications and
processes around the
realistic capabilities of
the network

Potential of broadband n
etworks

•
$150 devices

•
millions of devices

•
<hourly data scans

•
<1 minute samples

•
2 second latency

•
3+ “9s” reliability (99.9%)

•
public carrier (or private utility)

Load Aggregation

•
interval data aggregated by
circuit segment or distribution
asset

•
peak loading generated daily

•
over
-
loaded circuits identified
and reported

•
opportunities for re
-
distributing
load or re
-
conductoring

•
crews complete work and avoid
lengthy outage


Virtual Metering Pt

@
Recloser

XYZ
-
1242

Voltage Monitoring

•
smart meters report line voltage
–

averaged over an interval

•
daily reporting of hourly line
voltage

•
track and report voltage
excursions

•
alarms at selected points (may
be real
-
time)

•
end
-
of
-
circuit voltage monitoring
to validate voltage reduction
programs

•
power quality monitoring


Grid Node XYZ
-
1836

V

Momentary Analysis

•
smart meters often have
momentary event logging and
reporting

•
customer power quality
complaint or

•
analysis of momentary events
indicates most devices related
(GIS info) to
recloser

are also
effected

•
weather/wind conditions
reviewed to confirm likely tree
-
trimming issue

•
crews dispatched to correct




Recloser

XYZ
-
1242

Multiple Levels of AMI and Smart Grid

•
Level 1 grid monitoring and analysis
–

revenue meters

–
aggregating loads by circuit topology & network device

–
event correlation by protective device

–
real
-
time outage, voltage events

–
voltage recording and reporting


•
Level 2 grid monitoring and analysis
–

non
-
revenue devices

–
meter transformers or circuits (meters as RTUs)

–
monitor capacitor switching operation and voltage/
VAr


–
monitor
recloser

and breaker operation (real
-
time events)


•
Level 3 grid controls and real
-
time monitoring

–
remotely program changes for autonomous controllers

–
real
-
time remote monitoring control operations


Smart Grid Systems

•
Distribution asset management system

–
receive load data from MDUS

–
update maintenance forecast

–
condition
-
based assessment drives maintenance


•
Power system simulation and operational network model

–
receive aggregated load data from MDUS

–
load
-
flow analysis augmented with real load data

–
condition
-
based assessment drives maintenance

–
failure impact assessment to prioritize




Smart Grid & Demand Response

•
Enables active participation by consumers

•
Accommodates all generation and storage options

•
Enables new products, services and markets


CO2 emissions targets
driving public policy
and consumer
behavior


By 2020 energy
efficiency and
renewables

accounts
for 70% of carbon
reductions

Smart Energy Objectives & Consumers

conservation &

efficiency goals

renewables

goals

price & market
stability goals

system stability &

reliability goals

TOU

&

RTP

Day
-
Ahead

CPP and PTR

Price
-
responsive

Load

(PCTs, Day
-
of)

Direct Load

Control

Whole house

Load Limiting

Whole house

Disconnect

Usage Information

Services

In
-
Home

Displays

Distributed

Generation

Net

Metering

PHEV

Typical impact on a CPP Day

Summer:

Three
-
Tier TOU with CPP Rate

Off Peak

(Weekday 10PM
–
10AM, Weekends, Holidays)

4.80cents/kWh

Mid Peak

(Weekdays 10AM
–
3PM and 7PM
-
10PM)

7.50cents/kWh

Peak

(Weekday 3PM
–
7PM)



16.75 cents/kWh

CPP

(Weekday 3PM
–
7PM, 10 times per summer)

30.00 cents/kWh

13% Peak Reduction

with information only

23% Peak Reduction

with enabling technology

Source: AmerenUE Criitical Peak Pricing Pilot, June 2006

Sending Demand Response Signals

AMI Net

Internet

Home

Area

Net

Cellular/

Telecom

Dist

Utility

Retailer

or

ESCO

RTO/

ISO

Broadcast

TV, Radio

Newspaper

Emergency

Dispatch

Economic

Dispatch

Reliability

Dispatch

CPP

PTR

Load

Control

Load

Limit

Request

DistGen

Summary:

Smart Grid Characteristics enabled by AMI

•
Enables active participation by consumers

•
Accommodates all generation and storage options

•
Enables new products, services and markets

•
Provides power quality for the digital economy

•
Optimizes asset utilization and operates efficiently

•
Anticipates & responds to system disturbances (self
-
heals)

•
Operates resiliently against attack and natural disaster

Source: DOE Modern Grid Initative
















What Exists Today And Future Functionality To
Deliver Smart Grid Data?

•
Current energy market based systems forecast DR period 24 to 48 hours in
advance

•
Smart thermostats and other load control devices entering the market using
WiFi/Zigbee/Bluetooth or other proprietary modes of communication to meter

Existing

Future

•
Will be expanded to incorporate distributed generation control (plug in hybrid
vehicles, Solar Panels etc.) which will communicate energy supply or storage
capability

•
Will become part of home based energy management systems tied to smart
appliances

DR

Demand Response

Summary


Smart

Grid Characteristic

Today with

integrated AMI

Future with advanced AMI

Enables active participation by
consumers

interactive

pricing and control programs
including enabling technologies

PHEV

and storage will drive more
interactivity

Accommodates all generation
and storage options



net metering supports

customer DG
solutions, control options for large customers

Advanced control and market solutions
to optimize load flows

Enables new products,
services and markets



retail

programs created using interval
data for pricing. DR/EE services with
enabling technologies

PHEV and storage markets to

grow
rapidly as technology and infrastructure
mature

Provides power quality for the
digital economy


initial, some analytic benefits

from AMI to
support corrective/preventative action

More real
-
time sensing and monitoring

with AMI, non
-
AMI devices

Optimizes asset utilization and
operates efficiently



INITIAL
–

some analytic benefits

from AMI
to support maintenance and corrective action

Dynamic power flow management
maintains assets at optimal

utilization

Anticipates & responds to
system disturbances



NO

–

initial AMI deployments will operate
retrospectively but provide data for forecasts

Level 3

AMI instrumentation supports
advanced predictive behavior

Operates resiliently against
attack and natural disaster

INITIAL

–

AMI supported load controls
provide tools to limit impact and support
restoration efforts

Interoperable autonomous

controls
including AMI respond to events
automagically

What Exists Today And Future Functionality To
Deliver Smart Grid Data?

VEE

Aggre
-

gation


Advanced

Billing


Outage

C/DC

Automa
-

tion

Demand

Response

Field

Service

Meter

Data

Analysis

& Reporting

Systems

&

Service

Mgmt

Data

Sync

Engine



AMI Mgmt

& MUDR

Databases

Core

Billing

Services


System &

User

Admin

Meter

Reading

& Data

Collection


Data

Interface

APIs


Core Modules

Advanced Billing

Advanced Integration

Energy IP Message Services

Data

Importer


AMI

Adapter


Meter Data Management

•

Currently supports traditional and TOU/CPP programs

•

SOA and CIM compliant data structure to support enterprise wide integration and API’s to other applications

•

Incorporates business rules to coordinate with Workforce Management and Outage Management

•

Synchronizes with other systems of record for customer billing, GIS and other service delivery point attributes

•

Provides data provisioning for customer web portal

•
Supports multiple AMI technologies; PLC, RF, BPL, etc..

Existing

Future

•

Support Demand Response through monitoring and control of Home Area Network Devices

•

Provide control set
-
points for distributed generation assets

What Exists Today And Future Functionality To
Deliver Smart Grid Data?

Substation Gateways

Extension of IEC 61850

Outside substation

•
Gateways exist that support RTU, IED, and Relay data access to be made
available to enterprise

•
IEC 61850 currently offered for protection and control devices within
Substation

•
IEC 61850 currently supports IP based communication systems and uses
deterministic protocols to minimize latency in command/control
communication

Existing

Future

•
CIGRE Working group currently investigating expansion of IEC 61850 for
outside substation applications

ODMS

CIM Compliant

Data Model Mgmt

For all applications

CIM Compliant

Data Model Mgmt

•
Common Information Model (CIM
-

IEC 61970) data management tools exist
which allow CIM compliant off
-
the
-
shelf CIM/XML import & export adapters to
synchronize network model data with other network data repositories like
ESRI, SmallWorld and Intergraph GIS solutions.

Existing

Future

•
Committee continually expands CIM data model to cover a broader range of
applications which will support exchange of data between Asset
Management, Network Modeling, and Distribution Management System
components. This evolution will lead to condition
-
based assessment data that
can be interfaced with reliability
-
based network planning tools for online
decision support and operational contingency planning.

What Exists Today And Future Functionality To
Deliver Smart Grid Data?

•
Broadband wired, wireless and BPL networks already exist

•
Wireless mesh networks can support incorporation of grid asset
communication, but currently require additional infrastructure to reduce
recursive communication between meters and meters to towers. These could
be converted to broadband IP
-
based networks as cost comes down.

•
Domain provisioning available to support low latency communication

Existing

Future

•
WiMax, LTE (
Long Term Evolution (3GPP 4G technology)

at various frequencies
(licensed and unlicensed) and white space frequency spectrums will emerge
that will support more robust IP communications as wireless surpasses most
wired broadband networks, with dynamic encryption key generation for
security

Wireless Broadband Network

Provider

Technology

Data Bandwidth in Mbps

Uplink

Downlink

AT&T, T
-
Mobile

GPRS

.1

1

10

100

.1

1

10

100

1000

AT&T, T
-
Mobile

EDGE

Sprint, Verizon

CDMA 1X

AT&T

UTMS

Sprint, Verizon

EV
-
DO

AT&T, T
-
Mobile

HSPA

AT&T, T
-
Mobile, Verizon

LTE

Sprint, Clearwire

WiMax

What Exists Today And Future Functionality To
Deliver Smart Grid Data?

•
Currently repository of traditional asset data, product and maintenance
documentation

•
Captures maintenance procedures, typical values of metrics used for
assessing condition based monitoring

AMS

CB Asset Analysis

S/S Transformers

S/S Breakers

Dist
-
Assets

Asset Management Systems

Existing

Future

•
Will coordinate with condition based monitoring products which will assess
asset condition and performance and provide recommendation for loading
and maintenance activity. Currently available for strategic assets such as
Transformers, this will be expanded to cover other asset types over time.

Planning

Transmission and Distribution Planning Systems

•
Currently performs load flow and transmission capability analysis

•
Performs contingency analysis for dynamic and steady state stability

•
Performs off
-
line probabilistic based analysis of system reliability

Existing

Future

•
Will take condition assessment from CB Asset Analysis and calculate system
reliability impact of potential failure probabilities and recommend operating
practice based upon highest probability of occurrence

•
Perform transient analysis associated with consequence of asset failure

© 2008 Eventure Events. All rights reserved.

Ron Jarvis

Siemens Energy, Inc.

ron.jarvis@seimens.com

Larsh Johnson

eMeter Corporation

larsh@emeter.com