Download ppt - Advanced Metering Infrastructure (AMI) Andrew Bordine Smart Grid Enablement Engineer Mark Knight KEMA Smart Grid Smart Grid Enablement during the Consumers

Advanced Metering Infrastructure (AMI)Advanced Metering Infrastructure (AMI)

Andrew Bordine

Smart Grid Enablement Engineer

Mark Knight

KEMA

Smart GridSmart Grid Enablement during the Consumers Energy AMI pilot, and the need to integrate Operational and Non-Operational Data

with AMI data

Advanced Metering Infrastructure (AMI)Advanced Metering Infrastructure (AMI)Advanced Metering Infrastructure (AMI)Advanced Metering Infrastructure (AMI)

Consumers Energy and Michigan

Serving Michigan families and businesses since 1886

We provide electric and natural gas service to 6.5 million people

8,000 employees Serving all 68 Lower Peninsula counties Company motto: “Count on Us”


Building the Right Team

Our AMI team includes employees from:• Information technology

• Operating technology

• Metering and operations

• Customer service

• Marketing

• Rates

• Generation

• Strategic planning

• Communications

• Regulatory affairs


Customer Outage Detection

Demand ResponseTheft ID

Remote TFTN

Remote Meter Programming

Load Control

Price Signals sent to Customer

New Rate Design

AMR

AutomatedMeter Reads

AMR Capability+

AMI

Smart Grid

AMI Capability+

Remote detection

Central and distributed analysis

Correction of disturbances on the grid

Optimizes grid assets

Hourly RemoteMeter Reads

Customer Voltage Measurement

Load Profiling

Vision of the Future:AMR to AMI to Smart Grid


Cost Latency

Deciding where to draw the line


What is in the pipeline?

AMI and Meter Communication Layer

Distribution Line Monitoring

Distribution System Protection

Transmission Monitoring

SCADA Interface for System Control

Communications Backhaul


OMS, GIS, GMS, etc.

AMI

Work Management

Customer

Billing

AMI

EXTENSION

SOA

INTERFACE

Critical Infrastructure

NERC – CIP

MDUS

&

HISTORIAN

Smart Grid Technical Landscape

HISTORIAN

Gas & ElectricSCADA

RTUs

Enterprise Application Suite

DemandResponse Distribution

AutomationField devices

AMIHeadEnd

PlantDCS


Smart Grid: Power Delivery System of the Future

Uses communications, computing and power electronics to create a system that’s:

• Self-Healing and Adaptive• Interactive with consumers and markets• Optimized to make best use of resources and equipment• Predictive rather than reactive, to prevent emergencies• Distributed across geographical and organizational boundaries• Integrated, merging monitoring, control, protection, maintenance, EMS,

DMS, marketing and information technology• More secure from attack

Source: Electric Power Research Institute IntelliGrid


Assessing New Technology

Smart grid architecture components Security Standards Network management Geospatial analysis System capability and requirement

validation


AMI Conceptual Diagram w/SCADA

Communications backbone

Collector Head End

Enterprise Application Suite

...

...

Outage Mgt SystemGrid Mgt Systems

Geospatial...

MeterHistorian

Data Verification

0000

HAN

RTV

RTV

SCADA

Inte

gra

tion

Hu

b

AMI

ERPAMI

EAMAMI

IS-U

GridHistorian


AMI-ENT

Security – Zone Defense

Home PC

OMS61968-3

Planning&

Scheduling61968-5

MDMOr

MDUS61968-9

DataCollection61968-9

Control &Configuration

61968-9

MeterMaintenance

61968-9

WMS61968-6

NetworkOperations

61968-3

LoadMgmt.

61968-9

CIS61968-8

GIS61968-4

LoadControl61968-9

MDM61968-9

MDUS61968-9

Open HAN1.0

Third Parties – Retailers, etc

Meter Data & Comm.C12.19C12.22

Data Collection Systems

Utility SystemsMDM SystemWide Area

Networks

Meter-Specific

Networks

HAN

AMI-SEC

AMI-SEC

AMI-COMM???


2008 Program Focus

Architectural assessment• Components• Security • Demonstration lab• Geospatial analysis – preliminary findings

AMI@SAP collaboration• Generic software testing @ SAP (Q2)• Install & test in CE environment (Q3-Q4)• Purchase software (Q4)

CEA2• Communicating AMI requirements• Aligning with CEA2

Regulatory alignment Pilot – 10,000 Meters in Field Q4


New Connections and Functions

Distributed Generation &Demand Side Resources

Smart Power Electronics

Demand Response

Information Technologies

Advanced Metering


The Smart Grid Move

20th Century Grid 21st Century Smart Grid

Electromechanical Digital

Very limited or one-way communications Two-way communications every where

Few, if any, sensors – “Blind” Operation Monitors and sensors throughout – usage, system status, equipment condition

Limited control over power flows Pervasive control systems - substation, distribution & feeder automation

Reliability concerns – Manual restoration Adaptive protection, Semi-automated restoration and, eventually, self-healing

Sub-optimal asset utilization Asset life and system capacity extensions through condition monitoring and dynamic limits

Stand-alone information systems and applications

Enterprise Level Information Integration, inter-operability and coordinated automation

Very limited, if any, distributed resources Large penetrations of distributed, Intermittent and demand-side resources

Carbon based generation Carbon Limits and Green Power Credits

Emergency decisions by committee and phone

Decision support systems, predictive reliability

Limited price information, static tariff Full price information, dynamic tariff, demand response

Few customer choices Many customer choices, value adder services, integrated demand-side automation


A KEMA working description Smart Grid is the networked application of digital technology to the

energy delivery and consumption segments of the utility industry. More specifically, it incorporates advanced applications and use of distributed energy resources, communications, information management, and automated control technologies to modernize, optimize, and transform electric power infrastructure.

The Smart Grid vision seeks to bring together these technologies to make the grid self-healing, more reliable, safer, and more efficient, as well as empower customers to use electricity more efficiently.

It also seeks to contribute to a sustainable future with improvements to national security, economic growth, and climate change.


System Reliability & Customer Expectations Improving grid reliability has been a major concern

• Recent power outages

Limited automation and inability to “see the whole grid” Improved Monitoring, Controls and Integrated Information Systems and

Operations

Source: Roger N. Anderson Colombia Univ.

Sample SAIDI Values

0

20

40

60

80

100

120

140

160

180

Min

ute

s

US Averages

US Best Practices

EU Averages

LeadingPractices

Sample SAIDI Values

0

20

40

60

80

100

120

140

160

180

Min

ute

s

US Averages

US Best Practices

EU Averages

LeadingPractices


Intermittent and Distributed Resources Renewable Portfolio Standards (RPS) Significant increase in the penetration of intermittent (Wind, Solar)

resources is expected Intermittent resources are creating a major challenge for systems

operators• Forecasting, Scheduling, Trading, Balancing, Regulation, Settlement

0

200,000

400,000

600,000

800,000

1,000,000

1,200,000

2006 2020

MW C

apac

ity

Demand Resp.

Other

Pumped Storage

Renewables

Hydro

Nuclear

Gas

Oil

Coal

2%2%8%

10%

40%

6%

32%

4%4%

15%

7%

13%

32%

5%

20%

2006 source: US EIA data – 2020 source: a forecast

0

200,000

400,000

600,000

800,000

1,000,000

1,200,000

2006 2020

MW C

apac

ity

Demand Resp.

Other

Pumped Storage

Renewables

Hydro

Nuclear

Gas

Oil

Coal

2%2%8%

10%

40%

6%

32%

4%4%

15%

7%

13%

32%

5%

20%

2006 source: US EIA data – 2020 source: a forecast


A Vision of the Future Market Segmentation

SmartGeneration

SmartGeneration

CentralizedCentralized DistributedDistributed

IntermittentIntermittent

Critical / Backup

Critical / Backup

SmartGrid

SmartGrid

SmartEnd UseSmart

End Use

TransmissionTransmission DistributionDistribution

InformationSystems

InformationSystems

AssetManagement

AssetManagement

Grid Monitoring

Grid Monitoring

Grid Automation

Grid Automation

EnterpriseIntegrationEnterpriseIntegration

BaseloadBaseload

PeakingPeaking

GreenPowerGreenPower

Commercial/Industrial

Commercial/Industrial ResidentialResidential

Smart Motors& Devices


Smart Appliances

Smart Appliances

BuildingAutomation

BuildingAutomation

PhotovoltaicPhotovoltaic

Plug-in HybridsPlug-in Hybrids

Advanced Metering

Advanced Metering

Site EnergyMgmt Systems


DemandResponseDemand

Response

DistributionOperations


PowerElectronics

PowerElectronics

SmartStorageSmart

Storage

Communication& Control


© Center for Smart Energy

TransmissionOperations


Smart Dist. Devices

Smart Dist. Devices

Energy Markets

SmartGeneration

SmartGeneration



Critical / Backup

Critical / Backup

SmartGrid

SmartGrid

SmartEnd UseSmart

End Use


InformationSystems

InformationSystems

AssetManagement

AssetManagement

Grid Monitoring

Grid Monitoring

Grid Automation

Grid Automation


BaseloadBaseload

PeakingPeaking






Smart Appliances

Smart Appliances

BuildingAutomation

BuildingAutomation



Advanced Metering

Advanced Metering




Response



PowerElectronics

PowerElectronics

SmartStorageSmart

Storage






Smart Dist. Devices

Smart Dist. Devices

SmartGeneration

SmartGeneration



Critical / Backup

Critical / Backup

SmartGrid

SmartGrid

SmartEnd UseSmart

End Use


InformationSystems

InformationSystems

AssetManagement

AssetManagement

Grid Monitoring

Grid Monitoring

Grid Automation

Grid Automation


BaseloadBaseload

PeakingPeaking






Smart Appliances

Smart Appliances

BuildingAutomation

BuildingAutomation



Advanced Metering

Advanced Metering




Response



PowerElectronics

PowerElectronics

SmartStorageSmart

Storage






Smart Dist. Devices

Smart Dist. Devices

Energy Markets


The Need for Enterprise-Level Information Integration

Advanced Metering Infrastructure Advanced Metering Infrastructure

Distribution Management

MWMMWMOMSOMSGISGIS

T&D Planning & Engineering

Asset MgmtAsset MgmtMaintenance Mgmt

Maintenance Mgmt

SystemsPlanningSystemsPlanning

Communications Infrastructure

FeederAutomation

FeederAutomation

Power Procurement & Market OpsPlanning &ForecastingPlanning &Forecasting

Bidding &SchedulingBidding &

Scheduling

SettlementsSettlements

Trading &ContractsTrading &Contracts

ResourceDispatchResourceDispatch

SCADASCADA

EMSEMS OperationsPlanning

OperationsPlanning

DSMDSM

DMSDMST&D Operations

Executive DashboardsExecutive Dashboards

Customer Services

MDMSMDMS CISCIS BillingBillingCall CenterCall Center

EnterpriseInformatio

n Integration

Plant Controls

Plant Controls

Substation Automation Substation Automation


Enterprise Level Information Integration “Operational” Data

Data that represents the real-time status, performance, and loading of power system equipment

This is the fundamental information used by system operators to monitor and control the power system

Examples:• Circuit breaker open/closed status

• Line current (amperes)

• Bus voltages

• Transformer loading (real and reactive power)

• Substation alarms (high temperature, low pressure, intrusion)


Enterprise Level Information Integration “Non-Operational” Data

Data items for which the primary user is someone other than the system operators (engineering, maintenance, etc.)

Note that operators are usually interested in some data that is classified as non-operational

Examples of “Non-Operational” data:• Digital fault recorder records (waveforms) (protection engineer)

• Circuit breaker contact wear indicator (maintenance)

• Dissolved gas/moisture content in oil (maintenance)

Information for which the primary user is group that maintains the substation monitoring and control equipment:

• Protective relay technicians/relay engineers

• SCADA/RTU/ personnel

• IT/Security personnel

Examples:• Protective relay settings

• SCADA data point mapping

• IED Passwords


A number of collaborations are seeking to bridge the gap in identifying and/or

specifying broad-based, common communications protocols.

Consortium Objectives/Focus Principle Supporters

• Interoperable devices at all levels within the grid – from utility to consumer

• Advanced sensor, communication, control, & IT systems for real-time operation/response

• Govt - Dept of Energy, Pacific NW Labs

• Utilities – AEP, BPA, ConEd

• Vendors – GE, IBM

• Facilitate broad adoption of AMI & demand response

• Recommend “open standards” for AMI through info/data models, reference designs, and guidelines

• Diminish stakeholder risk concerns & foster innovation

• Vendors – Cellnet, Comverge

• Utilities – PSE&G, SCE, SDG&E

• Consultants – KEMA, SAIC

www.gridwise.org

www.openami.org

• Create a "self healing" power system capable of handling emergency and disaster situations

• Develop open, standards-based set of blueprints for integrating power and communications systems to improve grid reliability, quality, and security

• GE and EPRI (founders)• Vendors –Lucent,

Systems Integration Specialists, Electrotek Concepts, & Hypertekwww.intelligrid.info

Selected Broad-Based Consortia

These organizations are loosely intertwined, leaving the key question of a clear roadmap for the AMI industry overall.

AMI Overview


Questions?

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