Solving Big Data Challenges US Electric Utility Industry

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1 1 Solving Big Data Challenges US Electric Utility Industry IEEE PES Meeting July 29, 2014 Sunil Pancholi

2 2 Agenda Smart Grid and Big Data Lockheed Martin Big Data Expertise Lockheed Martin Solutions in Utility Space

3 3 Lockheed Martin Corporation Energy Solutions 115,000 Employees $45B Annual Sales Aeronautics Information Systems & Global Solutions Electronic Systems 70,000 Scientists, Engineers and IT Professionals 570 Facilities 50 States 70 Countries 300 Partnerships Mission Systems & Training Space Systems International Celebrating More than 100 Years of Innovation

4 4 LM Energy Solutions Offerings Energy Efficiency & Renewable Energy Utility DSM Programs Commercial ESCO / Design-Build Federal Energy Savings Performance Contracting (ESPC) Operations Technology Utility Mission Applications Oil & Gas Mission Applications Cyber Security - NERC/CIP Smart Grid Enterprise Energy Management Demand Management/Response Utility Analytics and Big Data

5 Smart Grid Smart, but Complex with Enormous Data The Conventional Grid Generation Transmission Distribution End-users 5 The Smart Grid Utilities are striving for Solutions to deliver Smart Grid benefits

6 Annual Rate of Intake 6 Smart Grid Exponential Data Growth Key Triggers to Data Growth Source: EPRI Intelligrid 1000 TB New Devices in the Home Enabled by the Smart Meter 800 TB 600 TB Home Energy Management Advanced Distribution Automation Distribution Management Operations Systems Integration Grid Visualization and GIS 9 10 Distributed Energy Resources Management (DERMS) 400 TB Demand Response/DSM 200 TB 0 TB Substation Automation System Distribution Automation AMI Deployment 1 2 Time A recent EPRI study concludes that 3 biggest areas for Big Data are: Visualization, Situational Awareness and Predictive Forecasting

7 7 Utility Priorities - Big Data Solutions Visualization (Presentation) Accurate distribution grid connectivity information Accurate Meters, DG and Energy Storage information Cyber Security and NERC Security management Situation Awareness (Decision making) Demand Response and Distributed Generation contributions Grid Management Reliability and Resiliency Grid Efficiency - Optimal Capital and O&M costs Predictive Forecasting (Prescriptive decision options) Wide-Area situational awareness System protection & restoration Grid security

8 8 Utility Perspectives Goal: Develop an effective & efficient data analytics environment that optimizes enterprise level operations Big Data Benefits: Improve the reliability and resiliency of electric grid Optimize the asset management and operations costs Share the data/intelligence for improved decision making Integrate legacy systems for improved data flow Improved data analytics and enterprise intelligence

9 9 Agenda Smart Grid and Big Data Lockheed Martin Big Data Expertise Lockheed Martin Solutions in Utility Space

10 10 LM Big Data Expertize INTEL & DEFENSE Intel Agency rethinking analytics NGA New architecture image/video analytics Defense extending information base with unstructured data sets Air Force Pilot, sensor data, scientific analytics CIVIL AGENCIES/COMMERCIAL CMS Shorten time for claims data mgmt. FDIC Predicting banking asset risks FTC analytics for law enforcement FAA Air traffic flow optimization

11 11 Example Client Project Business Need An effective & efficient data & analytics environment supporting goals of providing effective service at lower cost Today s Challenge Delayed Access to Data Data & Analytics Growth In-flexible Legacy solutions Data and Analytics Duplication Results by numbers Market data from current 4-6 weeks to less than an hour Reduced legacy cost and improve agility to meet new business needs Flexible solution supporting data & analytics growth

12 12 LM Perspectives Big Data Legacy Data Sources Big Data Foundation Data Analytics Data Analytics Energy Planning Analytic Tools of choice Big Data Store & Compute T&D Operations Reliability Capacity Planning System Planning Resources Planning Operations New Construction Work Management Data Management Team Data Hub Admin Cyber Security

13 13 LM Perspectives Applications Based Legacy Data Sources Big Data Foundation Data Analytics Data Analytics Energy Planning Analytic Tools of choice Big Data Store & Compute T&D Operations Reliability Capacity Planning System Planning Resources Planning Operations New Construction Work Management Data Management Team Data Hub Admin Cyber Security

14 14 Agenda Smart Grid and Big Data Lockheed Martin Big Data Expertise LM Solutions in Utility Space

15 Grid Visualization SEEview Enterprise Energy Management 15 SEEview SEEview Architecture

16 Grid Visualization SEEload Advanced Load Management 16 SEEload

17 VirtuGrid FIM Grid Visualization Grid Connectivity by Power Tagging Technology 17 Power Tagging signals transverse the grid, determine grid location, and provide grid information in near real-time Radial Grid Networked Grid Campus Grid 1 Feeders FIM VirtuGrid Feeder VirtuGrid FIM Campus Meter

18 18 Situational Awareness/Predictive Forecasting Microgrid Architecture SEEview HMI

19 19 Situational Awareness/Predictive Forecasting Advanced Distribution Mgmt. System ADMS Common Operating Picture (COP) State Estimation Power Flow Forecast Outage Awareness Analytics, reporting System Simulation (Study) FLISR Switching Orders Tagging, Notes Alarming DR, IVVC Coord DG, Microgrid Monitoring ADR Mgmt Archiving Model Manager SCADA Interface (ICCP) Distribution Scada

20 20 Realize Big Data Value Journey: Analytics platform to Advance analytics Collaborative analytics New and improved analytics Reap Benefits of low cost, high performing environment Build out foundation to handle Data challenges Big Data Enabled TIME

21 21 Thank You!

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