High Penetration Solar and Energy Storage Introduction

Transcription

1 High Penetration Solar and Energy Storage Introduction Presentation at Smart Grid Live September 25, Navigant Consulting, Inc. D I S P U T E S & I N V E S T I G AT I O N S E C O N O M I C S F I N A N C I A L A D V I S O RY M A N A G E M E N T C O N S U LT I N G

2 Important Notice This presentation was prepared by Navigant Consulting, Inc. exclusively for SMART GRID LIVE. No part of it may be circulated, quoted, or reproduced for distribution outside these organization(s) without prior wripen approval from Navigant Consulting. This presentation is incomplete without reference to, and should be viewed solely in conjunction with the oral briefing provided by Navigant Consulting. September 25, Navigant Consulting, Inc. All rights reserved. Navigant Consulting is not a certified public accounting firm and does not provide audit, attest, or public accounting services. See for a complete listing of private investigator licenses. Investment banking, private placement, merger, acquisition and divestiture services offered through Navigant Capital Advisors, LLC., Member FINRA/SIPC Navigant Consulting, Inc. 2 ENERGY

3 Context SMUD could see a high penetration of solar across its service territory, creating uncertainty with integration. Drivers» GHG regulations and RPS are driving solar installations in SMUD s service territory.» However, this creates some uncertainties with integration Solar forecasting is not developed enough for minute ahead forecasts during variable weather Solar peaks 4 to 5 hours before utility peak Distribution system reliability could be impacts Grid operation costs could increase.» To manage these issues, SMUD is studying energy storage at all levels of its electricity system Navigant Consulting, Inc. 3 ENERGY

4 Show a video here 2012 Navigant Consulting, Inc. 4 ENERGY

5 Our Project Our US Department of Energy funded demonstration project is deploying energy storage in a neighborhood with 300 solar homes. PV and Energy Storage Demonstration at Anatolia Subdivision Residential Energy Storage (RES) Community Energy Storage (CES) Transformer Utility Meter Customer Panel Transformer Broadband Router Utility Meter Broadband Router Com. Module RES Unit w/ Li ion BaPeries CES Unit w/ Li ion BaPeries Cell Modem Com. Module Customer Panel PV Array PV Inverter PV Array PV Inverter 5.0kW/7.7kWh X 15 units 30kW/34kWh X 3 units The purpose of the demonstrations are to understand how PV and ES systems interact, what their impact is on the grid, and what benefits those impacts yield Navigant Consulting, Inc. 5 ENERGY

6 Key Research Questions Our project s goal is to answer Key Research Questions that will define the value of energy storage in a high penetration solar community. S t r a t e g i c Understand how the integration of energy storage could enhance the value Objective 1 of distributed PV resources within the community Key Research Questions 1. Does the location of energy storage significantly change the utility s ability to firm customer load and distributed PV capacity? 2. How much storage is necessary to accomplish the desired PV and load firming effects? 3. Can an integrated PV/energy storage system provide service reliability benefits for customers? S t r a t e g i c Determine if the addition of energy storage could add value for the utility Objective 2 Key Research Questions 4. Can energy storage in a high penetration solar deployment help support SMUD s super peak from 4 PM to 7 PM, particularly when PV output drops off after 5PM? 5. Does the location of energy storage significantly affect the ability of the utility to manage the resource? 6. How variable is PV output within a community or distribution feeder, and what is the potential operating impact for the utility? 2012 Navigant Consulting, Inc. 6 ENERGY

7 Testing Our ba\ery system has four different operating modes that we ll use during the study. Testing Modes Load Firming In 10 second intervals, the bapery will try to smooth net house load or net load to the transformer around what happened in the past. Load Shifting by Price the bapery uses the time periods of a customer s rate schedule to govern charging and discharging. The bapery charges during periods of low rates and discharges during periods of high rates. Predictive Load Shifting the bapery uses historical load and weather information to predict when to charge and discharge in order to minimize peaks and valleys in load. Custom Load Shifting The bapery charges or discharges for a period and rate specified by the utility. We have developed ten different tests, or Operating Scenarios, using these operating modes that will lead to grid impacts that will be analyzed to help answer the Key Research Questions Navigant Consulting, Inc. 7 ENERGY

8 Key C O N T A C T S ENERGY Jay Paidipati Associate Director jpaidipati@navigant.com direct Navigant Consulting, Inc. Confidential. and proprietary. Do not distribute or copy. 8 ENERGY

9 Distribution Level Metering in the Anatolia Subdivision Jason Bank Sept 25, 2012 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC.

10 Metering Objectives at Anatolia Innova&on for Our Energy Future In order to support the ongoing RES / CES research project data is being collected at several levels throughout the Anatolia Circuit This collected data will be used to validate the operation and assess the benefits of the deployed battery systems Metering Equipment and Locations Include: SMUD SCADA data at the Neighborhood and Substation level 12 Distribution Transformers in the Anatolia Circuit Power Quality and Configuration on the RES and CES units PV production and household data for participating customers Weather Station and Irradiance data at the substation Global Horizontal Irradiance near the Neighborhood In addition to providing the transformer monitoring and irradiance/weather data NREL is aggregating the collected data on a central FTP site

11 Innova&on for Our Energy Future Metering Locations in Anatolia Subdivision 10. LiPod (GHI) Frequency at which Data is Collected 10 seconds 1 minute 5 minutes 15 minutes Key = Voltage = Current = Power = Energy = Temperature = Solar Insola+on = Weather Data

12 Distribution Monitoring Units Each Unit measures voltage and current phasors, RMS values, real, reactive and apparent power, power factor and temperature (external and internal) Data transmitted point-by-point in real-time through a Ethernet, WiFi or Cellular internet connection Output data rate configurable from 1 Hz - 60 Hz GPS equipped for timestamping and Phasor calculations Twelve units have been fielded into Anatolia Circuit in single phase distribution transformers Meter installa+on on a Pad Mount Residen+al Transformer in Sacramento Innova&on for Our Energy Future

13 Innova&on for Our Energy Future Data Collection Network DMU measurements are immediately sent out through the onboard cellular modem using the PMU communication protocol specified by the IEEE C Standard The data streams pass through the internet, arriving at the Data Concentrator at NREL The Data Concentrator time-aligns these streams and condenses them into one data set containing all of the measurement data The concentrator data stream is sent to the Historian for archival, then onto the Data Visualization applications and any other end users requiring live data feeds. The Data Concentrator is capable of receiving data from any internet connected device that can transmit using the C protocol, which includes almost all off the shelf PMUs and Phasor Data Concentrators The OpenPDC software package ( provides the server-side software for both the concentrator and historian

14 Innova&on for Our Energy Future Collected Transformer Data PV Production The red traces on these plots are global horizontal Irradiance measurements Taken from a MIDC tower in the Anatolia Neighborhood Blue traces are power flow through a transformer serving 10 houses, each with about 2.5 kw of installed rooftop PV These plots represent three consecutive days, one cloudy, one sunny and one with intermittent cloud cover Sept 24 Sept 25 Sept 26

15 Collected Transformer Data Load Characteristics Upper plot is measured P and Q at a transformer serving 10 houses in Anatolia A load is observed switching on then off throughout the time span This load is about 5 kw and is observed all over the system at all times of day, most likely AC This switching effect is also apparent in the voltage measurements on the bottom plot Innova&on for Our Energy Future

16 Innova&on for Our Energy Future RES Responding to Drop in Solar Output (5/3/2012) Reduced solar resource, PV production drops Battery discharges Battery firms household output, compensating for drop in PV production

17 Innova&on for Our Energy Future CES Responding to Utility Commands (4/22/2012) Clear, sunny day CES discharges and transformer load drops CES charges

18 SMART GRID LIVE Home Energy Management Presentation September 25, 2012

19 Project Approach OPPORTUNITY Integrating large amounts of distributed renewable energy is critical to California achieving its current Renewable Portfolio Standard target of 33% renewable energy. Moreover, it is increasingly clear that distributed solar PV, both in rooftop and ground mounted applications, represents the greatest opportunity for implementing distributed renewable energy in California over the next 10 years. PROJECT ADDRESSED CHALLENGES Technical Issue 1: Grid connected PV systems cannot be fully integrated into the Smart Grid until there is sufficient two way communication and control capability between the utility and PV inverters. Technical Issue 2: The production characteristics of distributed PV in a high penetration scenario have not been sufficiently tested, and utilities have not been able to develop adequate models and forecasting techniques with which to consider distributed PV as a grid resource. Technical Issue 3: While energy storage is seen as a potential solution for firming the variable output of PV, there is a lack of experimental data to show how effective storage might be for overcoming these problems. Proprietary and Confidential

20 The Community Demonstration at Anatolia SolarSmartSM Community with Lennar Homes Over 270 homes with 2kWave PV installed 20 Proprietary and Confidential

21 Project Details Control group of 25 homes with PV RES Group 15 units UL listed Silent Power units 10kW peak /7.7 kwh SAFT Li-ion CES Group 3 units Connected to secondary of 50/75 kva pad mounted transformers serving 9-12 homes 30 kw/30 kwh SAFT Li-ion batteries Installing utility and customer portals to monitor PV, storage, customer load Sending price signals to affect changes in customer usage Quantifying costs and benefits of this storage deployment to gain insights to broader application 21 Proprietary and Confidential

22 GridPoint Solution Components Home Energy Management (HEM) software portal for customers Utility control and analytics portal for event management, execution and analysis Project systems integration and program management partner 22 Proprietary and Confidential

23 DEMONSTRATION 23 Proprietary and Confidential

24 QUESTIONS 24 Proprietary and Confidential

25 APPENDIX APPLICATION SCREEN SHOTS 25 Proprietary and Confidential

26 Main Dashboard Overview Proprietary and Confidential

27 GridPoint Analytics Portal Status 27 Proprietary and Confidential

28 GridPoint Analytics Portal Schedule Dashboard 28 Proprietary and Confidential

29 GridPoint Analytics Portal Schedule Dashboard 29 Proprietary and Confidential

30 GridPoint Analytics Portal Schedule Dashboard 30 Proprietary and Confidential

31 GridPoint Analytics Portal Power Delivery Dashboard 31 Proprietary and Confidential

32 32 SMUD Anatolia RES & CES Demonstra8on Inves8gate the effects and benefits of distributed badery storage, par8cularly in an area of significant PV genera8on All badery systems have been installed o 3 CES on secondary of Distribu+on Transformers o 15 RES in customer homes A large variety of data collec8on devices have been installed on all levels of the distribu8on system Test case and data collec8on phase underway Project Concludes and Report Published Sept hdps://solarhighpen.energy.gov/project/sacramento_municipal_u8lity_district

33 Energy Systems Integra8on Facility Jason Bank, PhD Na+onal Renewable Energy Laboratory

34 NREL s Energy Systems Integration Facility (ESIF) NREL s largest R&D facility (182,500 ft 2 ) Space for 200 NREL staff and research partners Focus of the ESIF is to conduct R&D of integrated energy systems (Electricity, Fuels, Transportation, and Buildings & Campus systems) LABORATORIES HPC DATA CENTER Addressing the challenges of large scale integra8on of clean energy technologies into the energy systems infrastructure OFFICES hnp:// 34

35 Current Status and Construc8on Targets October 2012 substan8al comple8on November 2012 commissioning and move in January 2013 move lab equipment DOE Programs moving into ESIF Solar Systems Integra+on, CSP Wind Systems Integra+on Fuel Cell Technologies Buildings Vehicles (lab tes+ng) Office of Electricity Scien+fic Compu+ng 35

36 36 ESIF s Unique Advanced Capabilities HPC Petascale HPC and data management system in showcase energy efficient data center. Virtual utility operations center and visualization rooms to understand impact of high penetration variable renewables, electric vehicle, and energy efficiency deployments. Interconnectivity to external field sites for data feeds and model validation.

37 37 ESIF Laboratories Electrical Systems Laboratories 1. Power Systems Integra+on 2. Smart Power 3. Energy Storage 4. Electrical Characteriza+on 5. Energy Systems Integra+on Thermal Systems Laboratories 6. Thermal Storage Process and Components 7. Thermal Storage Materials 8. Op+cal Characteriza+on Fuel Systems Laboratories 9. Energy Systems Fabrica+on 10. Manufacturing 11. Materials Characteriza+on 12. Electrochemical Characteriza+on 13. Energy Systems Sensor 14. Fuel Cell Development & Test 15. Energy Systems High Pressure Test High Performance Compu8ng, Data Analysis, and Visualiza8on 16. ESIF Control Room 17. Energy Integra+on Visualiza+on 18. Secure Data Center 19. High Performance Compu+ng Data Center 20. Insight Center Visualiza+on 21. Insight Center Collabora+on

38 38 ESIF Research Infrastructure Research Electrical Distribu+on Bus REDB (AC 3ph, 600V, 1200A and DC +/ 500V, 1200A) Thermal Distribu+on Bus Fuel Distribu+on Bus Supervisory Control and Data Acquisi+on (SCADA)

39 39 ESIF - Hardware-in-the-Loop (HIL) Testing Model validated with field data Utility Substation Real Time Simulator (RTS) Running System Model Actual hardware sited in ESIF labs Connected to RTS outputs Subdevelopment with PV at end of circuit HIL I/O Interface Residential Appliances and PV Load Banks Visualiza+on Interface Grid Simulators Simulation loop closed with actual hardware running inside a simulated power system Battery Systems Data Visualization Capabilities

40 40 Thank you For more informa8on on NREL Integra8on Projects and ESIF: hdp://