Smart Grid Demonstration Lessons & Opportunities to Turn Data into Value

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1 Smart Grid Demonstration Lessons & Opportunities to Turn Data into Value Matt Wakefield Senior Program Manager Berlin, Germany December 3rd, 2012

2 EPRI Smart Grid Demonstration Projects Integration of Distributed Energy Resources 23 Utilities, 15 Large Scale Demonstrations TEPCO Resident Researcher Hawaii Electric 2

3 EPRI Smart Grid Demonstration 4-Year Update EPRI Report Available for Download at Exciting Times Steady Stream of Results Focus on Case Studies & Benefit Assessments thru Year Update 13 Case Studies From 10 Utilities Presentation Tomorrow at 14:20 References to All Deliverables from the Project 3

4 Drivers for New Collaborative Big Data Demo s Top Down - 10 Smart Grid R&D Challenges Standards & Interoperability Communications Technology Energy Mgmt Architecture & Integration Security & Privacy Renewable & DER Integration Data Mgmt, Analysis & Visualization Grid Management & Planning (Bulk) Smart Grid Cost Benefit Analysis Customer Integration Strategies Advanced Technology Assessments Bottom s Up Distribution & Transmission DMS Interest Group Grid Ops and Planning Dx & Tx Applications IntelliGrid GIS & EA Interest Group Enabling Infrastructure Common Information Model 4

5 Challenges: Turning Data into Opportunity & Value The world generated five Exabytes* of data between the dawn of civilization through That amount of data is now created every two days. *1 Exabyte = 250 Million DVDs Erich Schmidt 2010 That rate is estimated to have Doubled since

6 Challenges: Turning Data into Opportunity & Value Our industry is no Different From 1 Meter Read/mo to Hourly (720/mo) =71,900% increase in Data (((720-1)/1)*100%) No. Of PMU s installed has doubled in the past 12 months Generating Terabytes of data Transitioning from Implementation to Analysis Management (Optimization) of the Grid = Management of Data 6

7 Distribution Application Examples Turning Data into Value 7

8 Advanced Data Mining Algorithms Create Additional Value Improve GIS & Distr. Apps AMI Enabling Automatic Customer Phase ID Improve GIS - Automatically maintain accurate phase (A, B or C) association of every customer Benefit outage management, enable advanced volt/var optimization, improve distribution efficiency Clustering algorithm on voltage drop/rise data during capacitor bank operation uncovers customer connectivity with phase C 8

9 Distribution Application Examples Using AMI data to Auto-Generate Secondary Circuit Models Using AMI and Sensor Data for Distribution State Estimation Combine data from similar circuits and weather data to identify benefits Pattern Recognition - Using Feeder Monitors to Locate Faults and Estimate Cause Trends & Forecasting Detecting Stressed Assets 9

10 Transmission Application Examples Turning Data into Value 10

11 Example #1: Synchrophasor-based Situational Awareness and Decision Support Online Monitoring Key Interface Real-time Stability Assessment Risk Dominant oscillation mode Phase Clock on the mode Simplified model on the interface Time Phasor data Scenario N Scenario 2 Scenario 1 Look-Up Table Risk & Control Timing Interconnected Power System Control Action 11 Visualization at Control Room

12 Transmission Application Examples Combine Synchrophasor & Other Data for: Disturbance Location Identification Dynamic Model Development & Validation Synchrophasor-Based Early Warning of Inter-Area Oscillations Sensor Data - The Source of Asset Condition Information 180 Phase Difference (deg.) Time (s) 12

13 Enabling Infrastructure Examples Enabling Infrastructure May Apply to both Transmission & Distribution 13

14 Enabling Technologies that are Emerging Enterprise architecture Visualization technology Database technology Standards for interoperability 14

15 DMD & TMD Project Plan Overview Member Workshops, Immersions & Roadmaps Assess Analytical Methods Tools & Algorithms For Demo s Utility Demonstrations Implementing & Assessing Analytical Methods, Tools & Algorithms for Distribution Applications Case Studies & Cost Benefit Analysis Tech Transfer, web Casts, Face-to-Face Meetings, Publications & Guidebook Utilities in Both DMD & TMD: Tasks Coordinated As Applicable 15

16 R&D Response 2 Demonstrations on Big Data ( ) Distribution Modernization Demonstration (DMD) & Transmission Modernization Demonstration (TMD) Data Management & Analytics to Support Operations, Planning and Asset Management Accelerate Collaborative Learning Capture Known Successes & Share Learn by Doing Identify Most Valuable Applications of Data Leverage Existing Data for New Applications Implement Algorithms & Methods 5-Year International Collaboration Demonstrate Applications & Assess Value Benefits Assessment & Case Studies Increases the Value of Smart Grid Infrastructure and Data 16

17 Why EPRI? Global Collaboration in Demonstrations The Whole is Greater than the Sum of its Parts Shared Intellectual Capital Expertise & Ideas More Rapid Education of Staff Access to EPRI Industry Experts Accelerate Learnings New Technical Innovation Applications, Architectures, Analytics Financial Leverage Avoid Duplication of Efforts Accelerate Decision Making Leverage Research Dollars across Many Utilities Reduce Risk - Learn from others 17

18 Questions Together Shaping the Future of Electricity Thank You Matt Wakefield