Micro Grids, Renewable Generation, Electric Power Resiliency PIRE 2016.pdf · Micro Grids,...
Transcript of Micro Grids, Renewable Generation, Electric Power Resiliency PIRE 2016.pdf · Micro Grids,...
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Micro Grids,
Renewable Generation,
Electric Power Resiliency
Patrick E. Mantey
CITRIS
Jack Baskin School of Engineering
University of California Santa Cruz
2016
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Mantey Research Group / Contributors
Ali Adabi (PhD)
Rance Fredericksen*
Paul Naud*
Brandon Kinman*
Theodore Framhein*
John Jacobs*
Eric Cao (current MS candidate)
Olexiy Burov
Henry Krute**
Bryan Smith**
Tim Pace**
Pavlo Manovi**
Michael Bennett**
Nathan Abercrombie**
David Oda**
Kevin Abas**
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Disruptive Future of Electrical Grid
Change from today’s dependence on a tightly connected “synchronous” grid
Reduce vulnerability / increase resiliency
Expand use of renewable energy sources
Build a system of microgrids
Federated
Local generation and storage
Grid tied for economics/ efficiency
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David Crane, CTO NRG Energy
November 12, 2015 [$20M “CarbonX Prize”]
http://www.greentechmedia.com/articles/read/david-cranes-5-steps-to-tackle-climate-change
Push renewables, even when it's hard: Crane's vision for NRG has been to make it the Google or Apple of energy delivery. Wall Street hasn't responded well to the plan. NRG is now splitting its traditional business from its green business in order to appease investors. Interestingly, Crane said that investor reaction might be a positive. “When the market treats every announcement as a negative catalyst, in some ways it’s freeing,” he said. “So you say, ‘I’m not going to try to figure it out; I’m just going to do the right thing.’”
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David Crane, CTO NRG Energy
November 12, 2015
http://www.greentechmedia.com/articles/read/david-cranes-5-steps-to-tackle-climate-change
Decentralize the developing world: If Crane were to start his career over, “I’d be bringing solar to every country in East Africa,” he said. “The opportunities are immense.” The market for off-grid solar is expanding quickly, with record-level commitments coming from local governments and investors in this sector. Crane suggested that emerging economies should avoid building out centralized power systems with large centralized fossil-fuel plants (which NRG owns a lot of).
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Connecting Renewable Generation to the Distribution Grid (US)
Using the Grid as “virtual storage”
Participate in the Energy Market (ISO)
California “Rule 21” Smart InvertersIEEE 1547 UL/ ANSI 1741
Net Metering / Net Energy Metering
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Micro grids:
On Customer Side of theMeter
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Micro Grid
MUD
Campus
Building Complex
Apartment Complex
Commercial Building
Farm
Home
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Why Micro Grids?
Island operation (no grid to serve)
Rural areas
Electrical power availability
Grid outage
storms
instability
terrorism
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Outages
Large areas
Longer time to restoration
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Power System Restoration
M.M. Adibi (editor)
ISBN: 978-0-7803-5397-8
690 pages
June 2000, Wiley-IEEE Press
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Power System Restoration
“At a time when bulk power systems operate close to their design limits, the restructuring of the electric power industry has created vulnerability to potential blackouts. Prompt and effective power system restoration is essential for the minimization of downtime and costs to the utility and its customers, which mount rapidly after a system blackout.”
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Resiliency
“ability to recover from or adjust easily to misfortune or change”
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Micro Grid Management
Research Project
Utility “smart meter” data is inadequate
Employ low-cost instrumentation on customer side of utility meter
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Smart Electrical Distribution Grids
What one consumer can imagine smart meters / smart grid
could facilitate
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Smart Grid ??
The term “Smart Grid” refers to a modernization of the electricity delivery system so it monitors, protects and automatically optimizes the operation of its interconnected elements – from the central and distributed generator through the high-voltage network and distribution system, to industrial users and building automation systems, to energy storage installations and to end-use consumers and their thermostats, electric vehicles, appliances and other household devices.
The Smart Grid will be characterized by a two-way flow of electricity and information to create an automated, widely distributed energy delivery network. It incorporates into the grid the benefits of distributed computing and communications to deliver real-time information and enable the near-instantaneous balance of supply and demand at the device level.
Energy Independence and Security Act of 2007.
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IEEE Smart Grid
http://smartgrid.ieee.org/nist-smartgrid-framework/distribution
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“Smarts” of Distribution
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Silver Spring Networks View
http://www.silverspringnet.com/pdfs/SilverSpring-Datasheet-GE_kV2c.pdf
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TOU Electric Rate
http://www.gosolarnow.com/pdf%20files/PGE%20E7%20Rate%20Schedule.pdf
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http://www.gepower.com/prod_serv/products/metering/en/downloads/kv2ci_oi.pdf
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[GEH-7285, kV2c Encompass Electronic Meter pg.1-10]http://www.gepower.com/prod_serv/products/metering/en/downloads/kv2ci_oi.pdf
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MicrogridGrid
FossilGeneration
Wind Turbine
SolarGeneration
Load
Storage
Microgrid
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Instrumentation Overview
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Develop and apply – a cost/effective system including: monitoring of disaggregated energy use Load control (shedding / adding) Fossil fuel minimization Management of storage
Control/Operate “small” micro grid (nano-grid?)
Transform / integrate data into “intelligence”“Non-Intrusive Load Monitoring”
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Micro grid Challenges
Control Challenge does not scale
Small micro grids not easier than large ones
Maintaining voltage, frequency
Renewable Generation volatility
Loads Constraints
Limited Storage
Minimize use of fossil fuel
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Energy Forensics
Use “AI” pattern recognition on sensor data to extract (“decompile”) aggregate energy consumption
Provide use input to user for retrospective on use
Obtain user preferences on costs/timing
“Smart Agent” implements user preferences vs. TOU, CPP
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Distribution System
Use of Smart Meter Data
System State Estimation
System Identification
System Restoration Speed-up
Data Architecture for Distribution System
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Micro-Grids
Renewables now intermixed in distribution system
Increased variability: difficulty forecasting demand
Effects (locally and regionally) of weather
Customer choices
Electric vehicles
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Microgrid Perspective
Garage
House
Neighborhood
Facility
Campus
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PG &E
Smart Grid
Renewable Energy Sensor Network for the Santa Cruz Wharf
Wind
Generators
Solar
Power
Wind, Imaging &
Solar Sensors
Sensor
Node
Roof Top Pallet
Experiment
Internet
Interface
Wave
Power
Pili
ng
Wave
Sensor
Wharf
Power
Users
User
Sensor
Suites
Interpretive
Center
Research
Wharf Power
Design
Wharf Power
Operations
ClassesAMES
µ Grid
JFV 2-7-10
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??
How would / should a microgrid smoothly and cost-effectively
Disconnect and Reconnect
to the grid?
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Key Assumptions
Grid Connection
Price of energy from the grid depends on “time of use” (TOU) and /or “critical peak pricing” (CPP) “Demand Response” (DR)
DR complicates situations where focus is on minimum cost of energy (vs. minimal use of non-renewable sources)
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Context
Local generation
Renewable (solar, wind)
Fossil fuel generator (standby?)
Storage
Hybrid vehicle
Grid connection
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Key Assumptions
Local Generation (Renewables and ..)
Local loads not (all) essential at all times
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Battery Storage -Example
Tesla “Power Wall”7-10 KWH Energy Storage for a Sustainable Home
“Powerwall is a home battery that charges using electricity generated from solar panels, or when utility rates are low, and powers your home in the evening. It also fortifies your home against power outages by providing a backup electricity supply. Automated, compact and simple to install, Powerwall offers independence from the utility grid and the security of an emergency backup.”
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Battery Storage -ExampleDeeya Energy “L-Cell” technology
Energy Storage Platform (ESPTM) ESP 24KTM.
Modular energy storage
* 6+ hours of storage capacity
* Super fast charging time
* Rugged, outdoor design: -5C to +50C
* Clean, green & non-toxic materials
* 10,000+ charge/discharge cycles
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Local Generation (?)
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Microgrid Control: Load Matches Generation
Generation Load
HVAC
Electric Car
Solar Generation
Wind Generation
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Microgrid : Load Exceeds Generation(Grid Connected)
Generation Load
HVAC
Washer & Dryer
Electric Car
Solar Generation
Wind Generation
Grid
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Microgrid : Load Exceeds Generation(Grid Connected)
Generation Load
HVAC
Washer & Dryer
Electric Car
Solar Generation
Wind Generation
$$Grid $$
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Microgrid: Generation Exceeds Loads (Island)
Generation Load
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Microgrid Control: Generation Matches Loads(Island)
Generation Load
HVAC
Electric Car
Storage as load
Solar Generation
Wind Generation
Solar Generation
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Microgrid : Load Exceeds Generation (Island)
Generation Load
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MicrogridGrid
FossilGeneration
Wind Turbine
SolarGeneration
Load
Storage
Microgrid
MicrogridMonitorin
gAnd
Control
LM
LM
LM
LM=Load Monitor
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Do we need a control room for Microgrid?
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Control /Synchronization
Ideal – smooth transitions from grid-connected to operation isolated from grid and back to grid connection.
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Today
Going off grid – e.g. conventional backup
Grid connection failure initiates local generation
With adequate backup storage and local renewable, may not be disruptive
Otherwise, delay to bring up local generation
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Grid to Microgrid
Going off grid requires matching local load to generation
Generation excess – problem of back feed of generator(s)
Generation deficiency – won’t carry load
Local energy storage critical for smooth transition
Need automated load management to match loads to available power when off-grid
Implies good instrumentation and remote control of loads –power on / off, and possibly varying load
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Control /Synchronization
Ideal – smooth transitions from isolated micro grid back to grid connected operation
Reconnection to the grid requires synchronization
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Today
Reconnecting to grid –synchronization
Requires local generation disconnected
May need to reduce load before reconnect
Load brought back slowly
Reconnect Renewable Generation
(solar, wind) via inverter”
“Power System Restoration”
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Micro-Grids and Power Distribution Research
Micro Grid Instrumentation and Control
Renewable Generation (major energy source)
Operation Grid Connected or as “Island”
Storage (technology, size, management)
Load Identification, Monitoring / Intelligent Agents for Demand /Response Economical Instrumentation for EMS, ToU Pricing
Smoothing Impacts of Renewable Generation on the Grid
VAR Compensation, Distribution Voltage Profile Management
Distribution System Monitoring, Fault Identification and Location to Improve Safety and Service Restoration
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Conclusion
Micro grids present challenges
Micro grids have value to both
Consumers
Utilities