utilizing a time series (pi) historian for system integration to create economic opportunity...
Post on 17-Dec-2015
218 Views
Preview:
TRANSCRIPT
Utilizing a Time Series (PI) Historian forSystem Integration to Create Economic
Opportunity
Opportunities forProviders and Consumers
through the‘SMART GRID’
Presented by: Frank C. Borth, III, Sr. EngineerExelon 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 InformationOld & 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 InformationCustomers
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 BasedNew Operations, Maintenance, Engineering, & System Information Will Also Be Overwhelmingly Time-Series BasedCombining ALL the Time-Series Data from these Information Sources into One Easily Accessed System Empowers Users and Businesses
Solution of Choice: Time-Series Historian
Historian Becomes Default Information Integration Platform Repository for ALL Time-Based System Data
DataHistorian
Line IED’s
Stand-aloneSystems
TSSAMR
DSS
ManualReads
Solution of Choice:Time-Series Historian
All Data Inquiries go to HistorianNative Data Access is Either by Graphical User Interface, Spreadsheet Add-in, or Tailored ApplicationData 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
DataHistorian
OperationsDisplays
MaintenanceSpreadsheets
OutageResponseInformation
RemoteAccess
Key Enabling Technology:OSISoft’s PI System Data Historian
Industry Leading Data Historian SoftwareOver 15,000 Systems Worldwide US Utility Coverage Includes
GenerationSystem OperationsEnergy Management CentersRTO & ISO OperationsDistribution Operations & Automation
Receives Data from Most Modern RTU’s, IED’s, EMS’sWell Developed Web-Enabled Client ToolsIntegrated with Many MMS, AM/FM/GIS, EMS and Outage SystemsIntegrator-Friendly Software Development Kit (SDK) Promotes System Interconnection
PI Data Historian&
Real TimePerformance Management
Platform
PI System Data HistorianCapabilities
Store Time-Series Data at Original Scan ResolutionRetain Years of History On-Line with Efficient Usage of Disk SpaceDiscrete Data Point Counts over 1,000,000 on One PI ServerCan Access Tens to Hundreds of Information Source SystemsHandles Client Numbers in the Hundreds SimultaneouslyProvides Information to Downstream Systems Through Native and Programmatic InterfacesScalable, Offers Redundant Data Paths and System Capabilities
PI Data Historian&
Real TimePerformance Management
Platform
Prototype PI System inDistribution Installation
PI Historian
SubstationData
Node(s)
Substation
RTU’s orData Conc.
Line / Remote IED’s
Remote
AccessAMR
AM/FM/GIS
Node
Stand Alone / Manual Data
Entry Systems
GIS Server
Operations /
Maintenance Data
Client
WebServer
Distribution Automation /
Capacitor Control /EMS / State Modeling /
Maint. Manage. System
OMS Server
HomeAutomat
ion
Prototype PI System inTransmission Installation
PI Historian
Stand Alone / Manual Data
Entry Systems
Operations /
Maintenance Data
Client
Data Exchange w/
Energy Market, Service
Providers,Web, Etc.
State Modeling /Contract Monitor &
Review /Billing-Payment Prep /Maint. Manage. System
Substation RTU’s
or Data Conc.
In-LineDevices
Metering Installati
ons
SubstationData Nodes(Generation Sites,
Commercial-Industrial Customers, Distribution
Companies, other Grids)
Engineering-
PlanningSystems
System Installation:Challenge & Opportunity
Opportunities for System Integrators -Internal as well as ExternalIdentify 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 ServicesInstall Systems, Connect Data Sources, Start Data InputConstruct 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
top related