Utilizing a Time Series (PI) Historian for System Integration to Create Economic Opportunity Opportunities for Providers and Consumers through the ‘SMART.

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

Questions

THANK YOUFrank C. Borth, III