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www.peakload.org Shared Integrated Energy Network Using Cutting Edge Data for Insight into the Future of Aggregated Residential Demand Response Sam DeLay, TVA Curt Puckett, DNV GL

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Page 1: Shared Integrated Energy Network - Peak Load

www.peakload.org

Shared Integrated Energy NetworkUsing Cutting Edge Data for Insight into the Future of

Aggregated Residential Demand Response

Sam DeLay, TVACurt Puckett, DNV GL

Page 2: Shared Integrated Energy Network - Peak Load

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TVA Service Territory

• Generation & Transmission entity• Serving 154 Local Power

Companies (LPCs) • 105 Municipals• 49 Electric Cooperatives

• Serving 9 million customers in seven states

Page 3: Shared Integrated Energy Network - Peak Load

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Project Overview

• Innovation at Work – Glasgow Electric Power Board−Grid Smart Appliance Pilot−Infotricity Rate Offering (Demand Rate for All Customers)−Smart Energy Technology Pilot−Virtual Peaker Pilot

• State of TVA’s Business Evolution‒Backdrop – The Utility Environment‒DER Challenges‒DER Future Exploration

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Project BackgroundGlasgow Electric Plant Board…Innovation at Work!

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Innovations• Grid Enabled Appliances

• Infotricity Rate

• Smart Energy Technologies

• Virtual Peaker Pilot

Page 5: Shared Integrated Energy Network - Peak Load

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2012 Grid Smart Appliance Bundle• Heat Pump Water Heater• Dishwasher• Range/Oven• Refrigerator

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GE Appliance Bundle Display and GE Nucleus

Device

Clothes WasherClothes Dryer

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Multi-Phase Experiment

Project 2012-20141. Baseline Monitoring2. GE Smart Appliances3. DR Pricing 2pm-6pm Weekdays4. DR Pricing 6am-Noon Weekdays

Findings• Refrigerator use decrease 33%• HWH use decreased by 71%• Customer variability reduced• Appliance bundle demand

reduced during DR pricing but not enough to garner interest

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2016 Infotricity Rate versus Alternative Rate

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• Infotricity rate transfers the wholesale rate directly to the customer by adding a coincident demand charge of $10+/kW

• All savings passed on to consumers

Infotricity Rate Impact

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2016 Smart Energy Technology

• VPP Software- Always on in the Background

- Machine Learning and Real-Time Control

- Minimize Peak Demand

- Maximize Comfort

- Engage and Delight Homeowners ualpeaker.io

The Sunverge SIS6048-X smart battery 6 kW

For more information:

“Smart Grid Technologies – An Application of Residential Battery Storage”

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Classic DR Control

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July 26, 2016 Infotricity Rate Impact

VPP Impact

Residential Basic – Thermostats & HPWH (n=165)

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Impacts of Adding Batteries!

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VPP Impact

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VPP ImpactBattery Charge

Residential Advanced (n=115) Residential Ultra Advanced (n=50)

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Residential battery storage can be a powerful load management opportunity

As costs come down, utilities can add residential storage to their portfolio of tools

Residential battery storage offers load reduction/control with minimal customer inconvenience or lack of comfort

3 Key Take-Aways

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2017-2018 Virtual Peak Pilot (VPP) Project

• Summary• Contains one of the most unique collections of distributed energy resources in

the world with 165 whole house battery systems• Targeted at reducing GEPB system peak demand to reduce wholesale power bill• Sixteen different platoons examined by rate and configuration• “Full Control” platoon included (85%) customers • Water heater controls, thermostat controls, battery systems, and various

combinations of these three distributed energy resources

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Event Performance Summary

• Successful in capturing GEPB coincident peak demand• GEPB staff used multiple forecasting strategies – weather, load, and local insights‒ Captured the peak day on 15 of the 16 months examined. Only January 2019 was the peak day

not captured in the event calls.

‒ Examining the top two peak and near peak days during the summer and winter, events were called on 100% of the summer days and 81% of the winter days.

‒ Examining the top five peak and near peak days during the summer and winter, events were called on 67% of the summer days and 62% of the winter days.

• Load estimates were developed by technology grouping, temperature clusters & time blocks

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Examples of Performance

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State of TVA’s Evolution

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Sam DeLay, TVA

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TVA’s Business Evolution• TVA’s historic business model – G&T serves 154 LPCs who serves customers• Full requirements contracts• TVA’s 2019 – 10 year Integrated Resource Plan:

• By 2028:• Up to 1,800 MW efficiency, 1,500-8,000 MW solar, up to 2,400 MW batteries • Generation up to 5,700 MW gas CT, and 800-5,700 MW Combined Cycle additions

• By 2038 new demand response up to 500 MW• LPCs requested DER flexibility – TVA requires sustainable debt levels• Align debt held with long term 20 yr. contracts, 10 years of no rate increases • Begin planning for DER integration with LPC distribution business partner

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2019 Utility EnvironmentIt’s a dynamic changing DER world• TVA’s new 5 months of summer• Expensive large plant outages • Wildfire, tree trimming vs. power reliabilityMore energy competition• Faster time response is more competitive• Batteries the standard for quick power shifts• Solar is variable but prices are still falling• Plentiful natural gas and energy efficiency• Amazon and Google homes • Transmission is the gateway to new

aggregation markets – will DR react fast?

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Top Grid Integration DER Challenges - SEPA 2019 InsightsPre-IntegrationForecasting impact of DERs – test how soon, how much, where, and how fast can they react • Contract specifications – new developments at TVA expected – growing integration

Developing use-cases – from local hosting capacity to upstream generation

Interconnection requirements & tests – new standards (IEEE 1547-2018 & much more needed) Benchmarking/market analysis and development – batteries look like a key benchmark

• Cybersecurity – with aggregation, control, and standards – will we have a rogue IoT?

Post-Integration Performance analytics (base case devices vs load alternatives)

• Customer adoption – is the key to system needs and everything else

Informed by GEPB Data

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Thoughts on DER ForecastingLeveraging GEPB analysis• Model circuit impacts for Local Power Company (LPC) – and locational value• Use 8760 hourly load models for program value – base load shape vs DER

Applying tools • Software comparison for Renewable Energy Deployment in a Distribution Network

- tools reviewed (NREL/TP-5D00-64228 2017)

• Feeder level analysis – OpenDSS (ERPI), GridLAB-D (PNNL), CYMDIST (CYME)• EPRI OpenDSS - free open-source distribution circuit hosting capacity and unbalanced analysis• Circuit inputs imported from LPC distribution circuit systems software – Milsoft, CYME, Synergi• Gap - Adding GEPB residential device models - thermostat, HPWH, battery

• Model transmission aggregated impacts- TSO to DSO holistic energy exchanges• TVA Grid 2023 project- Integrated Operations Optimization (for effective G&T

dispatch)• SCUD - Security Constrained Unit Commitment- least cost day ahead commitments; • SCED – Security Constrained Economic Dispatch, dispatch every 5 minutes

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Integration of Future Aggregation• Transmission and aggregated distribution data coordination

• Distribution System metrology (at least a fast estimate) and financial settlement (can be slow and exact)• DER timing and large load commitments are essential for increased system aggregated value.

• Distribution DER Performance Capabilities • Coordinating time and load control directly is difficult. Sending pricing could be easier.• Many consumer devices have been tested through the work at Glasgow and that data is available• Consider standardized communication for residential inverters for solar and new batteries

• Current practice shows they are too small and numerous to connect at most utilities• The new IEEE 1547-2018 has a 10-second standard is long for ISO and RTO market participation

using 2, 4, 6 or 8 seconds• Availability of enabling meter data

• Valley AMI metering at 80%, but, 20% are not remotely metered• Slow daily readings (33%), and hourly (21%)• Helpful 15 minute (31%), and real time (17%)

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Future Exploration• Setting and testing an architecture for TVA and 154 LPCs

• Design fair value at each level among homeowners, aggregator, LPC, and TVA • Anticipate geographically diverse energy, demand response, and load management• Is communicating direct to devices in seconds vs using the cloud in minutes okay?• Device data flow can be 10 MB per house per day. Investigate constant polling, sending and

receiving vs streamlined edge data analytics. • Tests show plug and play is not available today. (e.g. EPRI 2019 Project RAIN)• Investigate aggregating homeowners behind-the-meter uses with Home Energy

Management Systems – (HEMS-Open systems, or Amazon, Google)

• Identify where LPC metering features enable homeowner value • Can low cost Demand Response and other DER connections be recruited?• Setting up Distributed Energy Resource Management Systems is complex

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Questions?

TVASam DeLay

Senior Program [email protected]

DNV GLCurt Puckett

Head of Department+1-517-898-7078

[email protected]

Page 23: Shared Integrated Energy Network - Peak Load

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Appendix

Other Interesting Slides

Page 24: Shared Integrated Energy Network - Peak Load

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Refrigerator Performance

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Baseline Refrigerator Use Post Refrigerator Use

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Electric Water Heater Performance

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Dramatic drop & stabilizingdaily use

Significant reduction in peak demand

Baseline HWH Use Post HPWH Use

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Shifting Load on Appliances

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Opt Out Rate = 3.5%