Transcript Slide 1

Implementing the Smart Grid:
Enterprise Information Integration
Presented at
Grid Interop Forum
Albuquerque, NM
November 9, 2007
By
Ali Ipakchi, VP, Integration Services
ML Chan, Sr. Principal Consultant
KEMA, Inc.
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Smart Grid Business Drivers
An emerging new Business Environment
Greenhouse
Gases
Operational
Efficiency
Renewable
Resources
Aging
Infrastructure
SG
Demand
Response
Aging
Workforce
SECURITY & QUALITY OF SUPPLY
Capacity
Supply
Reliability
Power
Quality
2
The Smart Grid of The Future
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, selfhealing
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
3
Smart Grid Challenges
• Business
– Roadmap uncertainties: regulatory and cost recovery
– Risk averseness: impact on existing operations and practices
– Changing customer and market expectations
• Technology
– Complexity of the just-in-time power delivery operations
– Potential scope of impact
– Limited industry supported standards for the technology and its interoperability
• IEEE, ANSI and other regional and utility standards: Network Design,
Interconnections, and operations
• IEC TC57: IEC61850 for SA, IEC61968 for DMS – IEC61970 for EMS – CIM
and its extensions
– Sluggishness of the established vendor community and the potential risks
of emerging and smaller suppliers
• Process
– Traditional organizational roles and responsibilities and business practices
limit the required innovations
• People
– Multi-disciplinary nature of required changes
– Aging workforce and limited availability of in-house expertise
4
Smart Grid Building Blocks
–
–
–
–
•
Regulatory Incentives
Organizational Capabilities
Business Processes
Roles & Responsibilities - Skills
Technology
–
Supply Side
•
•
–
Distributed & Demand-Side Resources
Interconnections and Micro-Grids
Network Design
Protection and Control Strategies
Asset Management & Utilization
Information Technologies
•
•
•
•
Data Communications
Data Management
Enterprise Level Integration and Interoperability
Intelligent Applications
Organizational Capabilities
Business Processes
Systems and Data Integration / Interoperability
Power Delivery
•
•
•
–
People &
&
People
Process
Process
•
Environment – Conservation
Reliability
Policy
Policy
Regulatory & Market Incentives
Technology
Technology
•
Data Processing,
Analysis & Intelligent Applications
Data Communications
Grid Design &
Configuration
Intelligent Devices;
Metering. Protection, Control & Monitoring Equipment
Demand-Side
Automation
Distributed Generation
Technologies
5
Smart Grid Requires an End-to-End Operational View
• Individual technologies and enablers are critical components
– E.g., high-bandwidth, secure, and two-way communications infrastructure
• However, real benefits are achieved when considering the endto-end impact and integration
Power Delivery & Customer
Services Operations
WMS
AMI Back-end
SG Front-end
T&D Field Devices, Sensors
& Comms Equipment
Distributed
Resources
Customers
Renewable
Resource
MWF
Web Access
ERP
CIS
MDM
Asset
Mgmt
System
Backhaul
Comms
GIS
OMS
Billing &
Settlements
Ops
Data
Mart
Forecasting
&
Scheduling
ISO & Energy
Markets
EMS
Data
Collection
DMS,
DSM
SCADA
Substations
Local
Comms
Demand
Response
& Enhanced
Automation
Substation
Automation
Condition
Monitoring
Distribution
Automation
Distributed
Generation
Stakeholders
6
Smart Grid Also Requires A Holistic View Of The Business
•
Examples:
– Advanced Metering
• Customer Services (metering) –
System Operations (DSM and
Distribution Automation)
Planning &
& Engineering
Engineering
Planning
– Requires a resistance to the lure of
easier short-term solutions made with
a “silo” mentality
Asset Management
Management
Asset
High values are gained through
projects
crossing
organizational
Boundaries
Customer Services
Services
Customer
collaboration
T&D System
System Operations
Operations
T&D
– Decisions
require
between business units
•
Greater
Operational Coordination
Changes touch many parts of the
organization
Power Supply
Supply
Power
•
– Outage Management
• Customer
Service
&
System
Operations, Enterprise systems
– Asset Management – System Ops
•
•
•
People: Organizations, Responsibilities, Skills
Process: Roles, Information & Work Flow
Technology: Information, Automation
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Example: Improved Reliability Through OMS/DMS/AMI Integration
Integrating Outage Management with GIS,
SCADA, AMI and Mobile Workforce
Automation
Sample SAIDI Values
160
Last gasp and outage verification from meters
Network Connectivity from GIS
Integration with SCADA/DMS remote switching
Mobile workforce dispatch and communications
•
Significant Improvements in SAIDI
•
Timely and Accurate Data to Customers
140
120
US Averages
100
80
US Best Practices
60
Field
Crew
MWF
WMS
20
Hong Kong
UK Average
Scotland
Florida
Texas
Midwest
AMI
Southern California
MDM
Northern California
SCADA
0
Pacific NorthWest
IVR
Midwest - Rural
CIS
Customers
DA
40
Altantic
GIS
OMS
DMS
EU Averages
Singapore
–
–
–
–
180
Minutes
•
Best
Practices
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Example: Management of Distributed & Demand Side Resources
Solar PV
`
Power Factor
Feeder
Breaker
Coordinated Voltage VAr Control
Capacitor
Controller
Regulator
Controller
Meter
Connector
Demand
Response
Data Communications
+
-
+
-
Storage, Plug-in Vehicle
DA
DMS
DSM
MDM
Generation
Market
Ops
Scheduling
Dispatch
SCADA
GIS
CIS
Electrical Network
Billing
Settlements
•
Large penetration levels require significant data management
–
–
–
•
•
Information Network
Aggregation, scheduling, market operations, billing and settlements
Distribution voltage and power quality management, distribution automation
Islanding and micro-grid operations
Electrical Network need to be supported by an Information Network
Project and technology synergies need to be fully explored and exploited
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Example: Asset Management - Condition Based Maintenance
and Inspection
Breaker
`
Capacitor
Controller
Continuous, Scheduled and/or Event Driven
Condition Observations
Information Network
Meter
Connector
Data Communications
Electrical Network
MWF
Regulator
Controller
Ops
Data
Mart
Condition
Monitoring
MDM
Dynamic
Limits
ERP
WMS
Asset
Mgmt
SCADA
GIS
DMS
OMS
•
•
•
•
EMS
Equipment Life Extension, System Capacity Expansion
Equipment performance and failure probabilistic model
Improve O&M efficiencies - Improve maintenance processes
Reduce number of “catastrophic” failures
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A Utility of the Future Vision
Higher values are gained through enterprise level information and process integration
Executive Dashboards
Asset Management
CBM
Maintenance
History
Corporate
Assets
D/B
InterOperability
Engineering & Field Services
MWM
WMS
GIS
Protection &
Control
EMS
HR
DMS
OMS
DSM
Integration
Reporting
Planning & Design
Load
Analysis
Network
Analysis
Planning
Studies
Information
System Operations
SCADA
Enterprise
Projects Supply Finance
Chain
Budgeting
Customer Services
MDM/S
CIS
CRM
IVR
Billing
Data Communications
Plants
Renewable
Resources
Substation
Automation
Distribution/Feeder
Automation
Advanced
Metering
In-Home Network
& Automation
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Smart Grid Technology Implementation Considerations
• An end-to-end and holistic view is required
• Data integration and data management is a key requirement
End-to-End Business
Requirements
Business
Processes
Software / Automation
Applications
Enterprise
Data Assets
Enterprise
Integration
Strategy
Business
Solution
Information Integration
& Access Technologies
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Utility Enterprise Information Management
•
•
Identify the Enterprise Data Assets
Establish System of Records
–
•
Version of Truth – Master Data
Define Enterprise Data Management Disciplines
–
Data Stewardship, Data Organization, Content Management, Data Access
•
•
Data Ownership, Data Modeling Standards, Data Maintenance
Data Marts and Data Federation
Enterprise Integration
EMS / SCADA
Operational
Data
OMS / DMS
Outage
Data
AMI
Metering
Data
CIS
Customer
Data
Enterprise Data Assets
Geo-Spatial
Data
GIS
Asset
Data
Asset
Management
Project
Data
Work
Management
Personnel
Data
ERP (HR)
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Enterprise Information Integration
•
Integration of messages, events & notifications – Message Service Bus
–
•
Integration of Operational and Business Data
–
•
•
Real-time, queuing and guaranteed delivery
Published Data Schemas, Data Access, Data Federation and Data Marts
Service Oriented Integration Strategies
Functionality and flexibility needed to support utility operations and business
Enterprise Integration
EMS / SCADA
Operational
Data
OMS / DMS
Outage
Data
AMI
Metering
Data
CIS
Customer
Data
Process Integration – Messages, Events, Alarms, Etc.
Data Integration
Geo-Spatial
Data
GIS
Asset
Data
Asset
Management
Project
Data
Work
Management
Personnel
Data
ERP (HR)
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A Case Study
• Utility Vision
– To make the diverse T&D operational data available to the users
across company end-users and functional areas:
•
•
•
•
Where and when needed;
Right person gets the right data;
In a form that is most useful to the users; and
While ensuring high levels of data quality.
– Correlate operational data and knowledge into meaningful
information about the overall health of power systems
• Coverage of Scope
– People: Regions, Asset Management, System Operations,
Technical Services, Engineering, Constructions, Operations
– Process: T&D Business Life Cycle
– Technology: Operational Systems, Applications, and Data
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Current State Assessment: Observations
• Improvement areas
–
–
–
–
–
–
Many systems but separate and un-integrated database
Lack of company-wide guidelines for data management
Unclear data ownership and custodianship
A need for defining a single authoritative source for each data group
No common definitions, formats, and units of measure for master data
A need for performance indices to measure, monitor, and manage data
quality and data services
– Lack of the concept “utilizing data” and therefore insufficient quality control
on data input
• Can further improve Operational Efficiency, Effectiveness, Reliability
and Safety
GeoSpatial
AM/FM
GIS Data
CSPS
LVSS
Data
Customers
& Outage
TCOM
Enterprise Apps
Process Control
SAP Data
Assets
SAP Data
WMS
DMS
Data
EMS
Data
Planning & Design
DNAS
NPSP
NPBS
Etc.
ODGAM
Protection Data
Relay Data
Etc.
Engineering Services
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Current State Assessment:
Summary
• The utility puts significant effort to collect operational data.
• The data can be further utilized to speed up operational decisions
• The following two aspects are critical to developing high-value
operational intelligence applications:
– Data quality
– Information integration infrastructure
• The utility should:
– Improve data quality by establishing enterprise data management policy
– Set up enterprise architecture framework to minimize the development
and operating costs
– Implement Smart Grid applications to reap benefits
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Users
Users
Applications
Users
Users
Applications
Applications
Users
Enterprise Architectural Framework
Data Portal
Data Mart
Integration Infrastructure
Information Management Principles
Data Governance
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Information Management Principles
Stewardship
(Chain-of-custody)
Content
Organization
(Quality)
(Definition)
Data
Access
Presentation
(Readiness)
(Presentation)
Integration
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Apply Best Practices to IT Systems: Implementation
Steps
•
•
Identify the utility’s key Data Assets
Apply Information Management Principles – Data “Quality” Program
– Define Data Stewardship - Governance
– Formalize Data Organization – Operational Data Modeling & Mgmt Standards
– Implement Data Content Management – SLA
•
Establish a Reference Architecture for Enterprise-wide Data Access
– Data Access and Integration Framework - Data Mart Concept
– Data Transformation and Presentment – Data Portal Concept
•
Implement Key System Capabilities to Close High-Value Gaps
– Operational Data Warehouse – DMS and Field Data
– Operational Data Portal
•
Utilize the Capabilities to Improve Operational Efficiencies
– Condition-based Inspection and Maintenance
– Intelligent Outage Restoration System
– Advanced project planning, design and commissioning
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Roadmap to Smart Grid / Utility of the Future
• Strategic Planning
– Phased Implementation Approach
• Transformation from a “Silo-Based” Business
• Business Case Analysis
Costs
Benefits
EX
EN
LL
CE
M
EN
T
VI
RO
N
S
SG
N
O
EN
TI
RA
PE
CE
– Data and applications
O
– Organizational – People
– Technology
• Practical and Leveraged Solutions
• Interoperability Standards
D
Application A
Cost Benefit
Gap
Apps
B
C
Incremental
Cost
Base Cost
• Enabling and Foundational Capabilities
Cost Benefits
– Business Supported and Business Driven
Initiatives
– Project Synergies
Net Benefits
SECURITY & QUALITY OF SUPPLY
• First Movers
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Thank You !
Contact Information:
[email protected]
[email protected]
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