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Active Load Management and the MicroGrid

Learn how advanced operation and software capabilities play a crucial role in participating in real-time markets, peak shaving, load shifting, regulation, pre-cooling, and microgrid congestion management.

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Active Load Management and the MicroGrid

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  1. Active Load Management and the MicroGrid June 24, 2010 Allen M. Freifeld SVP External Affairs Viridity Energy afreifeld@viridityenergy.com 443-878-7155

  2. Participation in the Real Time Markets Requires Advanced Operation and Software Capabilities Peak Shaving Load Shifting + Regulation Load Shifting Pre-Cooling Pre-Cooling Capacity • Easy to Implement • Low Barriers to Entry • Primary DR Offering Real-Time Energy • Real Time Optimization & Control • Daily Price Settlement • Load Optimization and Microgrid Congestion Management • Leverages storage assets • High Barriers to Entry Efficiency • Self-Balancing Microgrid • Co-optimizes multiple markets • Integrates Electrical Vehicles • High Barriers to Entry Requirements Capacity Energy Efficiency Metering Type Basic Utility Settlement Grade Revenue Grade Settlement/Data Intervals Monthly Daily – 15 minute Real Time – 5 minute Notification Email, Phone Real Time Real Time Software Platform None required Advanced Advanced Optimization None required Required Required NOC None required Required Required Consulting Services Optional Yes Required Outsourced Services Optional Yes Required

  3. Smart Grid: an Integrated Solution • A vision for the future – a self-balancing network of distributed resources driven by communication and intelligence Processors Execute special protection schemes in microseconds Offices Houses Solar Panels Smart Appliances These can shut off in response to frequency fluctuations Wind Farm Sensors Detected fluctuations and disturbances can signal for areas to be isolated Industrial Plant Generators Energy from small generators and solar panels can reduce overall demand on the grid Disturbance in the grid Demand Management Use can be shifted to off-peak times to save money Storage Energy generated at off-peak times could be stored in batteries for later use Isolated Microgrid Central Power Plant Source: iTeres

  4. Viridity: Full Spectrum of Microgrid Services Virtual Power Dispatchable Load • • RTOs Reliability Delayed Capital Investments DR, Emissions Goals Economic Value Self-Sufficiency Reliability Sustainability Targets • • • • • • • • Customer s Viridity Energy Utilities Distr. Utilities Investor Owned Utilities Munis/Coops • • Microgrid asset owners Building Automation System providers End-users • • • •

  5. Microgrid SWOT Analysis Strengths Opportunities Modular in Nature Carbon regulation Heterogeneous Power Quality Expanding renewables market Reliable Power (even during grid outage) Smart Grid Investment Flexible architecture Inverter and Storage Technology Advances Multiple ownership models Declining Cost of Curves Diverse applications Telecommunications Advances Integrated heating and cooling Growth in developing world Broad global markets Plug in hybrids Weaknesses Threats Incentives diffuse Political power of incumbents Unclear road map Lack of clear standards Fragmented regulation Competing business models Utility safety concerns

  6. Active Load Management and the Microgrid Microgrids • Control • Optimization •

  7. Control – Power Analytics • As designed specifications and performance Actual Real time performance • • Protective device coordination; Power flow studies; voltage; fault analysis; reliability of system components • What is vs. what if conditions. Collision avoidance; early warning • •

  8. Active load Management and the MicroGrid • Optimization • Solutions based on operating and market data • Constraints (environmental, comfort) considered • Real time re-optimization •

  9. VPowerTM– System Architecture Model Builder VP Load Forecast CBL Generation Forecast Power Analytics PJM CBL Calculation Optimizer Market Interfaces PORTAL Integration Layer Carbon Footprint Calcula tion Forecast Data Feeds VPower Gateway UI Engine Settlement SCADA EMS BMS External Services Displays` 9 9

  10. Optimization Example Imported Power HVAC 6/27/08 Case 0 Case 1 √ Case 2 √ √ √ Case 3 √ √ √ √ √ √ $75/MWh $247/MWh Solar Panels (2 MW) T Optimized Solar 2 MW Battery 5 MWh Gas Gen 5 MW Battery (5 MWh) Diesel Gen 5 MW √ √ √ Fixed Load GT Gen Costs Diesel Gen Costs Retail Night Retail Day G + T Import MWh Supply Savings DR Revenue Fuel Costs Net Savings 7 MW $75/MWh $247/MWh $55.00 $65.00 $37.50 $75/MWh $247/MWh $ 55.00 $ 55.00 $ 55.00 $ 55.00 $ 65.00 $ 65.00 $ 65.00 $ 65.00 $ 37.50 $ 37.50 $ 37.50 $ 37.50 226.24 214.77 $ - $ 969.64 $ 1,817.59 $ 9,893.02 $ - $ 5,986.45 $ 8,247.70 $ 21,376.18 $ - $ - $ 6,956.09 $ 10,065.29 $ 19,177.18 $75/MWh $247/MWh $75/MWh $247/MWh Gas Fueled Gen (5 MW) 202.31 63.64 Diesel Generator (5 MW) $ (12,092.02) 10 10

  11. 14.00 300 GENERATION Case 3 Jun 27, 2008 Jun 27, 2008 12.00 250 Diesel Gas Gen 10.00 Solar Battery 200 Import LMP 8.00 150 6.00 100 4.00 50 2.00 0.00 0 700 100 130 200 230 300 330 400 430 500 530 600 630 730 800 830 900 930 1430 2200 1000 1030 1100 1130 1200 1230 1300 1330 1400 1500 1530 1600 1630 1700 1730 1800 1830 1900 1930 2000 2030 2100 2130 2230 2300 2330 0 30

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