Transcript Managing System Data in the Information Age

Opportunities for
Providers and Consumers
through the
‘SMART GRID’
Utilizing a Time Series (PI) Historian for
System Integration to Create Economic Opportunity
Presented by:
Frank C. Borth, III, Sr. Engineer
Exelon Corporation
Where ARE We All Headed?
To the “Smart Grid”



Through Information Technology (IT) the Operation, Planning, and
Maintenance of the Electric Power Grid will be Revolutionized.
Changes will be on the order of magnitude of those seen in telecom
and entertainment.
IT will form the Sensory and Control Network that enables the
integration of New Technologies – Demand Response / Demand Side
Management, Distributed Generation, and Energy Storage – with
current Grid Generation, Transmission, and Distribution Assets.
The associated influx of huge amounts of Time-Series Data will force
companies to IT (PI) Systems. These systems will be designed to
handle that high-volume, discrete information flow, archive it,
exchange it with peripheral systems performing higher value
functions, archive the analyzed outputs, and provide the actionable
results to company decision makers in a timely manner -
 ALL
TO GAIN BUSINESS ADVANTAGE.
Islands of Information
Old & New
Existing Data Sources





Metering: Line,
Substation, and End
User
Substation Intelligent
Electronic Devices
(IED’s)
Line IED’s
Interconnect points
Etc …
New Data Sources





Real-Time Line
Condition Sensors
Intelligent Home &
Business Devices
Time of Use (TOU)
Energy Pricing
New Distribution &
Transmission IED’s
Etc …
System Information
Customers
Internal Users
Operations
 Maintenance
 Engineering &
Planning
 Member Services
 Marketing
 Senior
Management

External Users
System Operators
 DSM Aggregators
 G&T Investors
 Energy & Ancillary
Services Providers
 Consumers
 AND REGULATORS

What to DO – Expand Upon Existing
Capabilities
The Vast Majority of Existing
Operations, Maintenance,
Engineering, & Service
Information IS Time-Series Based
New Operations, Maintenance,
Engineering, & System
Information Will Also Be
Overwhelmingly Time-Series
Based
Combining ALL the Time-Series
Data from these Information
Sources into One Easily Accessed
System Empowers Users and
Businesses
Solution of Choice:
Time-Series Historian
AMR
TSS
Historian Becomes Default
Information Integration Platform
Repository for ALL Time-Based
System Data
DSS
Manual
Reads
Line
IED’s
Stand-alone
Systems
Data
Historian
Solution of Choice:
Time-Series Historian
Operations
Displays
Data
Historian
Outage
Response
Information
Maintenance
Spreadsheets
All Data Inquiries go to Historian
Native Data Access is Either by
Graphical User Interface,
Spreadsheet Add-in, or Tailored
Application
Data Provided to External
Systems by Developed Interfaces
or Programmatically Through
Applications Programming
Interface (API)
Remote Access to Data Through
Clients using VPN or Web Access
Remote
Access
Key Enabling Technology:
OSISoft’s PI System Data Historian
PI Data Historian
&
Real Time
Performance Management
Platform
Industry Leading Data Historian Software
Over 15,000 Systems Worldwide
US Utility Coverage Includes
Generation
System Operations
Energy Management Centers
RTO & ISO Operations
Distribution Operations &
Automation
Receives Data from Most Modern RTU’s,
IED’s, EMS’s
Well Developed Web-Enabled Client Tools
Integrated with Many MMS, AM/FM/GIS,
EMS and Outage Systems
Integrator-Friendly Software Development
Kit (SDK) Promotes System
Interconnection
PI System Data Historian
Capabilities
Store Time-Series Data at Original
Scan Resolution
Retain Years of History On-Line with
Efficient Usage of Disk Space
Discrete Data Point Counts over
1,000,000 on One PI Server
Can Access Tens to Hundreds of
Information Source Systems
Handles Client Numbers in the
Hundreds Simultaneously
Provides Information to Downstream
Systems Through Native and
Programmatic Interfaces
Scalable, Offers Redundant Data
Paths and System Capabilities
PI Data Historian
&
Real Time
Performance Management
Platform
Prototype PI System in
Distribution Installation
Line /
Remote
IED’s
Remote
Access
AMR
Substation
RTU’s or
Data Conc.
Stand Alone / Manual
Data Entry Systems
Substation
Data Node(s)
OMS
Server
AM/FM/
GIS Node
Home
Automation
PI Historian
GIS
Server
Operations /
Maintenance
Data Client
Web
Server
Distribution Automation /
Capacitor Control /
EMS / State Modeling /
Maint. Manage. System
Prototype PI System in
Transmission Installation
Stand Alone / Manual
Data Entry Systems
In-Line
Devices
Operations /
Maintenance
Data Client
Metering
Installations
Substation
Data Nodes
Substation RTU’s
or Data Conc.
Engineering
- Planning
Systems
(Generation Sites,
Commercial-Industrial
Customers, Distribution
Companies, other Grids)
PI Historian
Data Exchange w/
Energy Market,
Service Providers,
Web, Etc.
State Modeling /
Contract Monitor & Review /
Billing-Payment Prep /
Maint. Manage. System
System Installation:
Challenge & Opportunity
Opportunities for System Integrators Internal as well as External
Identify Data Sources, Existing Systems & Prospective Hi-Value New Sources
Identify Information Users and Analysis Needs




Operations Control
Maintenance Scheduling
Engineering Studies
Marketing and Business Functions
Architect System from Inputs to Consumers, Procure HW, SW and Services
Install Systems, Connect Data Sources, Start Data Input
Construct User Interface Tools and Reports, Connect Interfaces to Downstream
Systems (MMS, AM/FM/GIS, etc.)
Finalize System Procedures (data point addition, system backup, system admin,
user interface construction / maintenance)
Continuous Improvement – Expanding Capabilities Where Business Case
Warrants
System Operation:
Achieving Advantage in the Business
‘Low-Hanging Fruit’

Improvements in Operations



Transmission – Operating Closer to the Limits, Reacting Faster to Condition
Changes, Enhanced System State Prediction Capabilities Through Available
Historical Data, Ability to Document Recurring Issues
Distribution – Real-Time Data to Line Personnel, Better Outage Response Via
Clearer View of Current System State, Event Replay for Diagnostics
Improvements in Maintenance (CBM, JIT,RBM)

Data Exchange & Data Mining – Enable Maintenance Management Systems
(MMS) to Automate Routine Maintenance, or Trigger More Extensive System
Service Through Accumulated System Parameters (Starts, Runtime, Time Above
Critical Load, etc.)
Extending the Base

Applying Layered Third-Party Tools



Provide Predictive Failure Notification
Advanced Identification of Line Losses
Enabling Consumer Load and Cost Control


Providing Price Signal to Motivate Load Shaping
Showing Consumer Monetary Effect of Time-Of-Use Decisions
System Extension:
Opportunities Beyond Current Limits
DA/DSM - Aggregate Consumers to Provide Cost-Effective Services



Incent Consumers with Price
ROI Through Buying Power, Load Control & Peak Shaving
Extend To Commercial & Industrial Users to Gain 10-100 MW Control
Allows Vendor to ‘Bid’ Into Generation Market as Supplier of
Ancillary Services
Identify Profit Opportunity Through Infrastructure Improvement Needs




Grid Operation Data – ID Need for New Generation
Grid Historical Trending – ID Need for Transmission Improvement
Extremely Important – ID Need for New Technology Tools or Mode of
Operation
‘New’ Businesses Enabled By the ‘Smart Grid’




Appliance Monitoring
Placing Distributed Generation for Best ROI
Co-Location of Complementing Infrastructure (Gas Pipeline, Transportation
Node, etc.)
Using Electric Cars as Energy Storage Devices
Questions
THANK YOU
Frank C. Borth, III