Integrated Grid Planning Symposium

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Integrated Grid Planning Symposium State of IGP Technology 16 November 2017 Derek Stenclik,

GE s Hawaii Grid Planning Experience Evaluation of Sustainable Energy Options for the Big Island Oahu Wind Integration and Transmission Study (OWITS) Oahu-Maui Interconnection Study (Stage 2) Oahu Distributed PV Grid Stability Study 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 Hawaii Grid Services study Maui Wind Integration Study Hawaii Solar Integration Study (HSIS) Hawaii RPS Study Oahu Battery Storage Study For more information and recent reports: http://www.hnei.hawaii.edu/projects#gi Special thanks to: Integrated Grid Planning Symposium 16 November 2017 2 2

Sharing Best Practices from across the Industry 2004 New York 3 GW Wind 10% Peak Load 4% Energy 2007 Texas 15 GW Wind 25% Peak Load 17% Energy 2013 PJM 96GW Wind 22GW Solar 30% Energy Gradients indicate systems subject to individual studies and also included in larger regional studies 2005 Ontario 15 GW Wind 50% Peak Load 30% Energy 2006 California 13 GW Wind 3 GW Solar 26% Peak Load 15% Energy 2009 Western U.S. 72 GW Wind 15 GW Solar 50% Peak Load 27% Energy 2010 New England 12 GW Wind 39% Peak Load 24% Energy 2012 Nova Scotia ~1500MW Wind 40% Energy 2014 Minnesota 8 GW Wind 4.5 GW Solar 50% Energy 2016 Pan-Canadian ~72GW Wind 30% Energy Underway Saskatchewan Colorado Springs Integrated Grid Planning Symposium 16 November 2017 3

Three Pillars of Power System Planning & Operations Don t take reliability and stability for granted! Customers want their electricity to be affordable, clean, and reliable all are important Part of a comprehensive analysis for power system planning Responds to emergency (contingency) events, not normal operations Important at different time scales of system operation; seconds to minutes Sustainability (Clean) Affordability (Economic) Reliability & Stability Integrated Grid Planning Symposium 16 November 2017 4

Grid Services are Evolving Across the Industry Short Duration Grid Services also known as Ancillary Services or Essential Reliability Services General trend away from ancillary now a primary rationale for system operator decisions (commitment and dispatch of generators), Speed of Response Especially relevant for Hawaii and other island systems Long Duration Other grid services, not evaluated in this analysis: Short Circuit Strength and/or Voltage Support Synchronous Inertia Primary Frequency Response Ramping Reserves Black Start Capability Integrated Grid Planning Symposium 16 November 2017 5

Maintaining grid stability requires actions within seconds cycles Grid must be prepared for and respond to emergency (contingency) events Important at different time scales of system operation; sub-seconds to minutes During a contingency, system frequency will change quickly (high RoCoF*) Conventional response is from system inertia (kinetic energy in synchronous generator) As renewables increase, system inertia decreases, leading to faster changes Synchronous Inertia & UFLS FFR *RoCoF = rate of change of frequency = df/dt Source: adapted from NERC Essential Reliability Services Working Group Integrated Grid Planning Symposium 16 November 2017 6

Where are FFR programs taking shape? National Grid HECO CAISO EirGrid ERCOT Existing program Pilot program Proposed program AEMO Transpower Integrated Grid Planning Symposium 16 November 2017 7

50 45 40 35 30 25 Interval = 1min Interval = 5min Interval = 10min Positive Sequence Load Flow (GE PSLF TM ) Modeling Tools for all Timescales of Power Systems No one tool does it all Long-term Dynamic Simulations (AGC) TM GE PSLF Grid Simulations Voltage & stability performance Frequency response Contingency analysis GE MAPS or PLEXOS Production Cost Simulations Sub-hourly chronological dispatch model System operations and economics with increasing levels of W&S integration 1 sec 1 year 20+ years 1 min 10 min 1 hr 1 day 1 wk Voltage Governor Support Response Governor Inertia Response Governor Response Automatic Generation AGC Regulation Control Economic Dispatch Planning Arbitrage STATISTICAL Variability Analysis GE MARS Reliability LOLE Simulations Characterize wind and solar variability 2 sec data to 60 min Develop operating reserve profiles 50 40 Statistical Wind Power Variability Assessments 30 0% percentile (10min) = -0.14 0% percentile (60min) = -0.45 20 0.1% percentile (10min) = -0.09 0.1% percentile (60min) = -0.27 10 2008 Interval = 10min Interval = 60min 50 40 Interhour Renewables Variability Analysis TM Multi-Area Production Simulation (GE MAPS TM ) 30 99.9% percentile (10min) = 0.1 0% percentile (10min) = -0.14 99.9% percentile (10min) = 0.1 99.9% percentile (60min) = 0.3 0% percentile (60min) = -0.45 99.9% percentile (60min) = 0.3 20 Integrated 100% percentile Grid (10min) = 0.1 Planning 0.1% percentile (10min) = Symposium -0.09 100% percentile (10min) = 0.18 100% percentile (60min) = 0.4 0.1% percentile (60min) = -0.27 100% percentile (60min) = 0.48 16 November 2017 8 10 2008 Interval = 10min Interval = 60min System reliability model Calculates loss of load expectation (LOLE), resource adequacy, and capacity value of wind and solar 0-0.25-0.2-0.15-0.1-0.05 0 0.05 0.1 0.15 0.2 0.25 0-0.25-0.2-0.15-0.1-0.05 0 0.05 0.1 0.15 0.2 0.25 0.1% percentile (1min) = -12.27 99.9% percentile (1min) = 11.7685 50 Interval = 10min 50 Interval = 10min 0.1% percentile (5min) = -31.336 0.1% percentile (10min) = -49.305 99.9% percentile (5min) = 33.0615 99.9% percentile (10min) = 54.0865

Next Steps & Ongoing Analysis How should FFR be designed & calibrated? What is the capacity value of storage and demand response? What is the value of resource diversity? What mitigations can reduce curtailment and save money? What do you think we need to evaluate? Integrated Grid Planning Symposium 16 November 2017 9

Thank You! Derek Stenclik Manager, Power Systems Strategy (518) 385-7438 derek.stenclik@ge.com Integrated Grid Planning Symposium 16 November 2017 10