IntelliGrid Don Von Dollen IntelliGrid Program Manager dvondoll@epri.com www.epri-intelligrid.com (650) 855-2679
Background EPRI s IntelliGrid Program Mission: To accelerate the transformation of the power delivery infrastructure into the intelligent grid needed to support the future needs of society Pathway to the Intelligent Grid Create the vision Identify the barriers for achieving the vision Conduct research, development and demonstrations aimed at overcoming the barriers Electricity Technology Industry Providers Public Sector/ Consumers 2
IntelliGrid Partners Cut Across All Stakeholder Groups U.S. Utilities Kansas City Power & Light Long Island Power Authority New York Power Authority Salt River Project TXU Public Service New Mexico Duke Energy CenterPoint First Energy Hawaiian Electric Others International Utilities Electricite de France Polish Power Grid Company Korea Electric Power Public Agencies Association of State Energy Research and Technology Transfer Institutions International Brotherhood of Electrical Workers National Association of Regulatory Utility Commissioners National Association of State Energy Officials National Conference of State Legislatures National Governors Association Industry State Energy Offices and Research Programs Manufacturers ABB Hitachi Electricity Technology Providers Public Sector/ Consumers 3
The Power Delivery System of the Future: Characteristics Interactive with consumers and markets Self-Healing and Adaptive Optimized to make best use of resources and equipment Predictive rather than reactive, to prevent emergencies Accommodates a variety of generation options Integrated, merging monitoring, control, protection, maintenance, EMS, DMS, marketing, and IT More Secure 4
The Power Delivery System of the Future Foundational Technologies Communications Monitoring Embedded Computing 5
Achieving the Power Delivery System of the Future: Integrating Two Infrastructures Electrical Infrastructure Intelligence Infrastructure 6
The Intelligent Grid 7
How is an Intelligent Grid Created? The Premise Evolve over many years Incremental deployment and integration of intelligent systems Deployed to meet specific business, regulatory or legislative drivers Positive Business Case 8
How is an Intelligent Grid Created? For Example Integration Business/Regulatory Driver: Distribution reliability is most important Based on this priority, you choose to: Deploy simple outage management first Time 9
How is an Intelligent Grid Created? For Example Integration Auto-Restoration Deploy simple outage management first Use outage information to drive auto-restoration Time 10
How is an Intelligent Grid Created? For Example Distributed Generation Integration Auto-Restoration Deploy simple outage management first Use outage information to drive auto-restoration Support auto-restoration with distributed generation Time 11
How is an Intelligent Grid Created? For Example Distributed Generation Auto-Islanding Integration Auto-Restoration Deploy simple outage management first Use outage information to drive auto-restoration Support auto-restoration with distributed generation Add advanced auto-islanding algorithms Time 12
How is an Intelligent Grid Created? For Example Online Contingency Calculation Auto-Islanding Distributed Generation Integration Auto-Restoration Deploy simple outage management first Use outage information to drive auto-restoration Support auto-restoration with distributed generation Add advanced auto-islanding algorithms Link to contingency management Time 13
How is an Intelligent Grid Created? For Example Online Contingency Calculation Auto-Islanding Distributed Generation Integration Auto-Restoration Not everything happens at once Build on what has been done before Keep business/regulatory drivers and goals in sight Time 14
How is it Done Today? Utilities currently tend to develop intelligent systems in isolation Neither project is typically developed with the other in mind. Auto Restoration 15
How is it Done Today? One-Off Integration Integration is typically done after the fact Cost is significant Auto Restoration 16
How is it Done Today? Doing it the Next Time Distributed Generation Now want to link in new systems Must first make the old system expandable Then must do another one-off integration Auto Restoration Auto Islanding 17
How is it Done Today? And again Distributed Generation On-Line Contingency Auto Restoration Auto Islanding Real-Time Simulation 18
How is it Done Today? And then you remember Distributed Generation On-Line Contingency Security Auto Restoration Auto Islanding Real-Time Simulation 19
A Better Way: Top-Down Design Security Network Data Auto Restoration Determine requirements first Define standardized interfaces Incorporate security, network management and other strategies right from the beginning Adopt open, standards-based systems Initial costs are a bit more than one-off integration, but not much more New applications can build directly to the new architecture 20
A Better Way: The Next Phase Security Network Data Distributed Generation Can re-use the development from the first phase Expansion was expected Adaptation to legacy systems was planned in advance Overall costs much lower Auto Restoration Auto SCADA Islanding 21
A Better Way: And so on Security Network Data Distributed Generation On-Line Contingency Benefits INCREASE with time Opposite of the old way Auto Restoration Auto SCADA Islanding Real-Time Protection Simulation 22
Creating an Intelligent Grid: Consumer Opportunities Utility Com m unications Internet Consum er Portal & Building EMS Efficient Building Systems Renew ables PV Dynamic Systems Control Distribution Operations Advanced Metering Control Interface Plug-In Hybrids Data Distributed Generation & Storage Smart End-Use Devices Energy efficiency and demand response is a driver that will greatly accelerate the creation of a smart grid 23
Creating an Intelligent Grid: Evolution of Relay Data Electro-Mechanical 0 Data Points 1 st Generation Microprocessor <10 Data Points Configuration Only 2 nd Generation 3 rd Gen. 4 th Gen. 100 s of Data Points Lots of Remote Data Standardized Protocols 10 s of Data Points Some Remote Data Available 500+ (1000+?) Data Points Data Becomes Multi-Dimensional (Attributes, Relationships, References) All Remotely Accessible Standardized & Universal Protocols Available Field Data Enterprise Capacity to Effectively Process Data ~1990 ~1993 ~1998 (Now) 24
Creating an Intelligent Grid Data Generated by an AMI System New devices in the home enabled by the smart meter generating data? 400 Terabytes / Year 350 300 250 200 150 100 50 You are here. 300 Terabytes per year of meter data by 2012 (here). 0 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 Based on a 5 million meter deployment 25
Creating an Intelligent Grid: Grid Data Convergence New devices in the home enabled by the smart meter Annual Rate of Data Intake 800 TB 600 TB RTU Upgrade 400 TB Mobile Data Goes Live You are here. 200 TB OMS Upgrade Programmable Communicating Thermostat Come On-line AMI Deployment Distribution Rollout GIS System Deployment Time Distribution Automation Substation Automation System Workforce Project 26
Creating an Intelligent Grid: AMI Interactions Settlement- Ready Usage Data Invoices Independent System Operator Third Parties Energy Trader Validated Measurements (subset) Validated Measurements Data Retrievers Event Notifications Energy Market Demand Response Services Power Procurement System Grid Control Center Demand Response Services Wholesale Transaction Records DR Enrollment And Status Validated Measurements (subset) Aggregated Measurements Validated Measurements Utility Web Planners, Site Forecasters, etc. System Operator Demand Response Services Meter Data System Validated Measurements Website Customer Information SCADA Distribution Resources Availability and Control System Validated Measurements (subset) Customer Service System Real-Time Response Feedback Distribution Automation Node Measurements And Status System Aggregated Demand Response Dialogue Aggregated Measurements Third Party Meter Reader Cost Calculations Aggregated Measurements Data Center Aggregator Dispatcher Coordination Distribution Status Aggregated Measurements (subset) Troubleshooting And Provisioning Services Troubleshooting and Provisioning Services Other Measurements Customer Service Requests Maintenance Planner Demand Response Dialogue System Console Meter and Distributed Generation Status Measurements And Status Rate and Prepayment Info Customer Representative Equipment Procurement System Gateway Mgmt Premise Gateway Bills Equipment Orders Meter Other Measurements Equipment Orders Equipment Control Customer Contact Website Customer Access Coordination Troubleshooting and Provisioning Services Troubleshooting and Provisioning Services AMI Meter Local Measurements and Status Load Control Device Monitored Equipment Customer Telecom Control Center Meter Mgmt System Network Managment Local Meter Maintenance Customer Messages Installation Data Display Device Customer Display Access Network Managment Field Tool Initial Program Meter Display Access Communications System Operator Field Elements Field Person AMI Component Vendor Building Mgmt System NOTE: Only the endpoints of interfaces are shown, NOT any intervening routers, repeaters or networks 27
Creating an Intelligent Grid Tremendous increase in data coming from the field Substantial communications networks needed to move the data around Complex systems Huge systems engineering challenges Requires integration of all enterprise applications Operation of a smart grid will be much more complex One size does not fit all Business case Utilities and regulators watching AMI rollouts closely 28
Creating the IntelliGrid Vision: Barriers Utility practices and culture Business case for building infrastructure Integration methods and tools Standards Suppliers 29
Creating the IntelliGrid Vision: Technical Barriers Scaling Pilots vs Implementations System Security Data Interoperability 30
EPRI s IntelliGrid Program Develops the methods, tools and integrating technologies that enable utilities to make investment decisions for intelligent systems Assists members in implementing results share lessons learned with other members Coordinates with other smart grid R&D activities www.epri-intelligrid.com 31
Conclusion An Intelligent Grid will provide tremendous benefits to utilities and consumers It isn t a question of if an intelligent grid will be created - it s a question of how quickly and how efficiently will it be created. Utilities will spend billions of dollars in the coming years creating the intelligent grid The cost of doing it wrong is tremendous! 32