ACEEE From Grid Response to Grid Interactive: An Evolving Perspective Autonomous Load Control For Resilient Reserves Joseph E. Childs JosephEChilds@Eaton.com 303.279.3714 © 2013 Eaton. All rights reserved. PV Market and Policy Drivers PV Price & Penetration Legislated Renewable Standards Policies and Goals Texas Renewable Energy Resource Assessment IREC North Carolina Energy Center ME ‐ 2020: 30% • • Decreasing by 30%/year Driven by off‐shore manufacturing (China) VT ‐ 2025: 24.8% 2020: 15% 2015: 15% 2025: 25% • Initially driven by mandates and subsidies 2025: 25% 2020: 33% 2015: 10% NH ‐ 2017: 20% 2015: 29% 2015: 10% 2025: 20% 2025: 15% 2020: 30% 2021: 18% 105 MW 2020: 20% 2021: 15% 2015: 15% CT ‐ 2020: 27% NJ ‐ 2021: 20.4% 2020: 20% DE ‐ 2026: 25% 2015: 5880 MW 2030: 40% Note: Data for solar only http://www.seco.cpa.state.tx.us/publications/renewenergy/ “inflection point” • • MA ‐ 2020: 22.1% RI ‐ 2020: 16% MD ‐ 2022: 20% < 10% 10% ‐ 20% > 20% Economic / social benefits prevail (< $0.10/kWh) Renewable penetration exceeds 5% (point of stability problems) • Penetration of PV at inflection point • Other intermittent sources and loads continue to drive complexity in distribution grid © 2013 Eaton. All rights reserved. 2 Distribution System – Power System Models Voltage % of nominal IEEE 34-Bus Test Feeder with PV integration Voltage % of nominal Voltage rise introduced by reverse power flow from PV integration © 2013 Eaton. All rights reserved. 3 Real vs. Idealized PV Power Output PV Power Output “Ideal” Insulation Data source: NREL • Intermittency is one of major challenges of renewables © 2013 Eaton. All rights reserved. 4 NRECA Customer Foot Print vs Policy vs Market • • • • • Individual Utility Goals Urban and Remote Power Systems Feeder Level Power Issues Multiple Use Cases Seasonal Value Propositions © 2013 Eaton. All rights reserved. 5 Demand Side Management with Adaptive Probabilistic Deconfliction NODES Program Objectives CATEGORY 1: Synthetic Frequency Response Reserves DOE Project metrics • • • • • • • Initial Response Time < 2 seconds Reserve Magnitude Target (RMT) > 2 % of load Reserve Magnitude Variability Tolerance (RMVT) < +/- 5% Ramp Time < 8 seconds Duration> 30 seconds Availability > 95 % Recovery < 4 Hours Solution Metrics • • • • • • Funding agency: DOE ARPA-E Technical Objectives of NRECA GridBallast • Local frequency reserves & voltage management • Integrate ordinary deferrable loads • Probabilistic frequency & voltage response algorithms Initial Response Time 7-10 Cycles (+.12 Secs) Reserve Magnitude Target (RMT) 5 % of load Reserve Magnitude Variability Tolerance (RMVT) 2% Ramp Time < 2 seconds Duration> 10 Minutes Recovery < 1 hour © 2013 Eaton. All rights reserved. 6 GridBallasts – Autonomous Load Control Frequency and Ramping Reserves • Autonomous, Collaborative & Central Control • Probabilistic frequency & voltage response algorithms • Alonetic Power System Modelling • Quantity, Placement, Sensitivity © 2013 Eaton. All rights reserved. 7 7 © 2013 Eaton. All rights reserved. 8 Business Discussion • Skate to where the puck will be (Ed Cannon) • Healthy Company • There are 10 times more new product ideas than funding available • Market vs. Market Potential • How many products are delivered each year • How big can the market get • Chicken and the Egg vs. Catch 22 © 2013 Eaton. All rights reserved. 9 © 2013 Eaton. All rights reserved. 10 © 2013 Eaton. All rights reserved. 11 Context – America’s Electric Cooperative Network: • Serve 75% of the nation’s land mass. • Provide power to approximately 42 million consumers from 65 generation and transmission coops. • Operate 42% of the nation’s distribution lines. © 2013 Eaton. All rights reserved. 12 12