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Building the Resilient Grid NRECA SFA
This document discusses key areas for developing a resilient grid, including distributed generation, microgrids, segmentable and agile control, a secure internet, advanced power electronics, architecture, standards, data capabilities, and analytics. It emphasizes developing common control methods that allow different areas to communicate at different scales, from buildings to transmission. This will enable a "grid of grids" with rules that scale. Advancements in things like distributed energy resources, secure communications infrastructure, and data-driven decision making can improve resilience.
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Building the Resilient Grid NRECA SFA
- 1. Building the Resilient Grid Slidesand content courtesy of the NRECA & The Security Fabric Alliance
- 2. Agile / FractalGrid • Concept: a grid that where distributed generators can integrate with and island from each other and the broader grid. • Approach: develop common / shared methods for grid control so that different areas of control can communicate with each other without the development of custom interfaces • Principle: the method of control should be the same at different scales, from building automation and industrial controls, to distribution to generation and transmission.
- 3. Key Areas ofDevelopment to Realize the Resilient Grid 1. Distributed Generation 2. Microgrids 3. Segmentability, Agile Control and Fractal Construction 4. An Internet You Can Trust 5. Advanced VAR Control and Solid State Power Electronics 6. Advanced Architecture 7. Improving Standards 8. Real Big Data Capabilities 9. Advanced Analytics 10. High Performance Communications
- 4. Distributed Generation There isno technical challenge in making electrons. The challenge is In grid integration.
- 5. Segmentability, Agile Control Synchronizationof Independent Oscillators Decision Making:
- 6. Fractal Construction • A“Grid of Grids” • Challenge is to develop rules that scale
- 7. Back up slides “TheRest of the Story”
- 8. An Internet YouCan Trust? – Cheaper and Faster but not better
- 9. An Internet YouCan Trust – Now: Better Internet of Things Internet2 Industrial Internet
- 10. Advanced VAR Controland Solid State Power Electronics
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- 16. STAGE 4: Bus(MultiSpeak® model)
- 18. Abstract the Datato Support Open Application Development
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- 21. Improving Standards • MultiSpeak® •IEC 618** • CIM (as data dictionary) • NIST security standards • MultiSpeak® security extensions • GWAC • Abstraction model interfaces Goal: Get out of the N *(N-1) approach
- 22. Real Big DataCapabilities • Address unstructured data • Reporting by exception • NO SQL high performance databases • Hadoop? • Passive as well as active capture • Shared data model “The Comprehensive Grid State Database”
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- 24. Advanced Analytics • StaticPower Flow • Dynamic Power Flow • Abstraction from Data Management • Open community • Workforce Development • Distinction between models and solvers
- 25. General Structure ofa Modeling Framework Source Data Reference Data Models Reference Outputs Solvers Monetization & Visualization Module Critical features Common data Common outputs Multiple solvers Run management
- 26. Features Source Data Reference Data Models Reference Outputs Solvers Monetization & Visualization Module CommonMetrics • ROI, IRR • Payback • Out of range values • …. Common Data • EIA • BEA • Weather • Feeder • Census • …. Common Outputs • $$$$ • Voltage • Current • Frequleency • Angle • …. Multiple Solvers
- 27. High Performance Communications •Reporting by exception • Understanding the “interesting” day • Build from the Substation of the Future taxonomy • Neighborhood of the future • Distributed data model • IP based with redundant paths