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This presentation discusses the revolutionizing effect of information technology on the operation, planning, and maintenance of the electric power grid through the implementation of a Smart Grid. It highlights the importance of using time-series data management systems to handle the influx of data and empower decision-makers with actionable insights. The presentation also showcases the capabilities of OSISoft's PI System Data Historian in integrating and managing large volumes of time-series data.
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Opportunities forProviders and Consumersthrough 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 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 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
TSS AMR Stand-alone Systems DSS Line IED’s Manual Reads Data Historian Solution of Choice: Time-Series Historian • Historian Becomes Default Information Integration Platform • Repository for ALL Time-Based System Data
Operations Displays Data Historian Maintenance Spreadsheets Remote Access Outage Response Information Solution of Choice:Time-Series Historian • 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
PI Data Historian & Real Time Performance Management Platform Key Enabling Technology:OSISoft’s PI System Data Historian • 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 Data Historian & Real Time Performance Management Platform PI System Data HistorianCapabilities • 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
Substation RTU’s or Data Conc. GIS Server Stand Alone / Manual Data Entry Systems Operations / Maintenance Data Client Line / Remote IED’s Substation Data Node(s) OMS Server Web Server AM/FM/ GIS Node Remote Access AMR Distribution Automation / Capacitor Control / EMS / State Modeling / Maint. Manage. System Home Automation PI Historian Prototype PI System inDistribution Installation
Stand Alone / Manual Data Entry Systems Operations / Maintenance Data Client In-Line Devices Metering Installations Engineering - Planning Systems Data Exchange w/ Energy Market, Service Providers, Web, Etc. Substation Data Nodes (Generation Sites, Commercial-Industrial Customers, Distribution Companies, other Grids) Substation RTU’s or Data Conc. State Modeling / Contract Monitor & Review / Billing-Payment Prep / Maint. Manage. System PI Historian Prototype PI System inTransmission Installation
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