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Consortium for Electric Reliability Technology Solutions
Research Overview
LBNL Physics Division
21 May 2010
Joseph H. EtoCERTS Program Office
Lawrence Berkeley National Laboratory
Electric Grid Problems are Costly
Blackouts – 2003 Northeast Blackout cost $5-10 billion
Congestion
• Annual cost estimated to be several billion dollars
• DOE’s 2006 National Electric Transmission Congestion Study indicated that “transmission congestion always has a cost.”
Market Dysfunction – 2001 California electricity crises cost California consumers billions of dollars
Power Quality and Reliability – Inadequate power quality and reliability costs businesses $50 to $100 billion annually
Market Inefficiency – Higher LMP, redispatch, and market power result in higher consumer costs
Need Transmission Investments – Upgrade Existing Grid, Expand Infrastructure, Research and Demonstrate New Technologies, and
Modernize Grid with Monitoring, Visualization, and Digital Technologies
Need Transmission Investments – Upgrade Existing Grid, Expand Infrastructure, Research and Demonstrate New Technologies, and
Modernize Grid with Monitoring, Visualization, and Digital Technologies
In 2004, LBNL Estimated That Power Interruptions Cost the Nation ~$79 B/yr
Yet, LBNL Also Found Significant Uncertainties in the Data
$0
$20
$40
$60
$80
$100
$120
$140
$160
LBNL
Base-Case
Estimate
Regional
Data
SAIDI, SAIFI,
MAIFI
Increased
by 1
Standard
Deviation
SAIDI, SAIFI,
MAIFI
Decreased
by 1
Standard
Deviation
All Outages
Valued
Using
Costs for a
Summer
Weekday
Afternoon
All Outages
Valued
Using
Costs for a
Summer
Weekend
Night
C&I
Customers
Experience
Fewer,
Shorter
Outages
Bill
ions-
$
Momentary Interruptions
Sustained Interruptions
$79 B
$135 B
$22 B
$119 B
$23 B$26 B
$90 B
Residential2%
Commercial72%
Industrial26%
$1.5 Billion
$20.4 Billion
$56.8 Billion
U.S. Total: $79 Billion
Source: Hamachi-LaCommare, K, and J. Eto. Understanding the Cost of Power Interruptions to U.S. Electricity Customers. July, 2004. LBNL-55718 http://certs.lbl.gov/certs-rtina-pubs.html
Consortium for Electric Reliability Technology Solutions
CERTS was organized in 1999 as a partnership among universities, the private sector, and Department of Energy national labs. Consortium includes four labs (Lawrence Berkeley, Oak Ridge, Sandia, Pacific Northwest), Power Systems Engineering Research Center (consortium of universities led by Arizona State), and Electric Power Group.
CERTS Industry Advisory Board includes ISOs, utilities, regulators, generators.
CERTS research leverages public and private resources, includingfunding by the Department of Energy, Office of Electricity Delivery and Energy Reliability, Transmission Reliability Program, and the California Energy Commission, Public Interest Energy Research Program.
CERTS research is focused on addressing gaps in tools, technologies, systems, market rules, and management processes needed to managethe reliability of the electric grid and efficient market operations.
Grid Solutions Framework and CERTS Research Focus
CERTSRESEARCHFOCUS –
“SMART GRID”
Low
$
Investment
High
$$$$$
High
Time
Grid Solutions Framework
Transformers Substations
Capacitors Automation
New Lines
New ROW
New Smart Grid Technologies
Operations Reliability Markets Security
FACTS Technologies
Power Electronics
Advanced Conductors
– Composite
– Superconductor
Grid Upgrades New Grid Infrastructure
Grid Upgrades
Grid Monitoring and Control Technologies
Grid Management & Smart Grid Technology Integration
Market Design Load Control Distributed Generation Storage – Central & Distrib.
Research Focus 1:Reliability Metrics and Compliance
Monitoring Tools
INFRASTRUCTUREDESIGN
WIDE-AREAMONITORING
FORENSICANALYSIS
COMPLIANCEMONITORING
PROBLEM IDENTIFICATION
VISUAL-IZATION
• 1999 Low Frequency Events on Eastern Interconnection
• Declining System Performance
• Frequency Excursions
Wide-areavisualizationinfrastructure
• Relationaltime-seriesdatabase
Wide-areareal timeACE-Frequencymonitoring tool
• Suppliersperformance forAGC andfrequencyresponse
Interchange Error (AIE) Monitoring
• Wide-area Inadvertent Monitoring
Performancestandardsresearch,validation, fieldtrials
• Resourcesadequacy load-generationanalysis andassessment
CPS-BAALmonitoring andanalysis
• Research forsituationalawareness forresourceadequacy
Visualization, Compliance, Monitoring, Infrastructure, Real Time Wide-Area Standards Compliance and Situational Awareness
Layer 3 – Wide-Area Real Time Monitoring Applications – Risk, Probabilistic Based
Real-TimeACE-Frequency,CPS-BAAL, AIE
Monitoring
Real-TimeSuppliers
PerformanceFor AGC and FR
Voltage SecurityMonitoring and
Assessment
Real TimeDynamicsMonitoring
System (RTDMS)
RESEARCH FORFUTURE
SITUATIONALAWARENESS
APPLICATIONS
Layer 1 – Relational Memory Based Database with Time Series Capability
Layer 1 - Data Communications .NET, OPC, Web Based and Data Conversion (API)
Layer 4 – Wide-Area Visualization Solutions
Geo-Graphic Multi-View Multi-Layer RESEARCH FOR HIGH LEVEL VISUAL SOLUTIONSDashboards
Long Term Archiving DatabaseWith PI -Type Tagging
Characteristics for HistoricalData Analysis and Assessment
Real Time Intelligent Alarm,Event and Disturbance Processor
and Services
Real Time Data Quality andPerformance Metrics
Reporting and Notification
Layer 3 – Wide-Area Real Time Monitoring Applications – Risk, Probabilistic Based
Real-TimeACE-Frequency,CPS-BAAL, AIE
Monitoring
Real-TimeSuppliers
PerformanceFor AGC and FR
Voltage SecurityMonitoring and
Assessment
Real TimeDynamicsMonitoring
System (RTDMS)
RESEARCH FORFUTURE
SITUATIONALAWARENESS
APPLICATIONS
Layer 1 – Relational Memory Based Database with Time Series Capability
Layer 1 - Data Communications .NET, OPC, Web Based and Data Conversion (API)
Layer 4 – Wide-Area Visualization Solutions
Geo-Graphic Multi-View Multi-Layer RESEARCH FOR HIGH LEVEL VISUAL SOLUTIONSDashboards
Layer 4 – Wide-Area Visualization Solutions
Geo-Graphic Multi-View Multi-Layer RESEARCH FOR HIGH LEVEL VISUAL SOLUTIONSDashboards
Long Term Archiving DatabaseWith PI -Type Tagging
Characteristics for HistoricalData Analysis and Assessment
Real Time Intelligent Alarm,Event and Disturbance Processor
and Services
Real Time Data Quality andPerformance Metrics
Reporting and Notification
Jan
20
01
Ap
r 2
00
1
Jul 2
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1
Oct
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0 - 11 - 22 - 33 - 44 - 55 - 66 - 77 - 88 - 99 - 1010 - 1111 - 1212 - 1313 - 1414 - 1515 - 1616 - 1717 - 1818 - 1919 - 2020 - 2121 - 2222 - 2323 - 24
COUNT OF FREQUENCY DISTURBANCES > 28 mHz BY MONTH, BY HOUR OF DAY
0-4 4-8 8-12 12-16 16-20 20-24 24-28 28-32
Count of Events by Month
-400
-200
0
200
400
600
800
1000
1200
Jan-
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Fe
b-0
2M
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b-0
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-04
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b-0
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Fe
b-0
7
Ev
en
t C
ou
nt
(Po
sit
ive
> 0
.05
0 H
z, N
ega
tiv
e <
-0.
05
0 H
z)
High Low Total
Applications Architecture
NERC Applications
And Web Server
123 CONTROL AREAS
SEND DATA THROUGH
NERC-NET
NERC Ethernet (Princeton)
XML
Reliability Coordinators
And Other
Applications Users
Early Alarms
Notification
• DATA COLLECTED AT NERC ICCP AND
CONCENTRATED IN DATABASE
SERVER
• DATA PROCESSED FOR NERC-CERTS
WIDE-AREA REAL TIME APPLICATIONS
NERC Secure,
Redundant
Database Server
REAL TIME
MONITORING DATA
BROADCAST OVER
INTERNET-EVERY
60 SECONDS
(3) INTELLIGENT REAL
TIME ALERTS AND
ALARMS
(4) MONITORING AND TRACKING
USING MULTI-VIEW GEO-GRAPHIC
WIDE-AREA G3P VISUALIZATION
(1) DATA ACQUISITION
(2) DATA VALIDATION AND ARCHIVING AT PRINCETON
Typical Use for Root Cause Identification –ACE-Frequency Application
AAct on Early Warning
Intelligent Alarms
BSelect Jurisdiction (s)Violating PerformanceMetric Threshold Now
CIdentify Control Areas
Contributing to Jurisdiction Violation
Now in Last 30-Minutes
DZoom-In and Evaluate
Magnitude and Durationof Problem For Worst
Control AreasSubject Line
High Frequency Trigger Limit Violation 60.055 Hz
Message
FTL HIGH: -EAST 8/23/2005 11:34:00 PM (EDT)Frequency has reached/or exceeded FTL of 60.05 Hz. for more than 5 minutes.
Load-Generation resources under inadequate balance.
Typical Use for Root Cause Identification –ACE-Frequency Application
AAct on Early Warning
Intelligent Alarms
BSelect Jurisdiction (s)Violating PerformanceMetric Threshold Now
CIdentify Control Areas
Contributing to Jurisdiction Violation
Now in Last 30-Minutes
DZoom-In and Evaluate
Magnitude and Durationof Problem For Worst
Control AreasSubject Line
High Frequency Trigger Limit Violation 60.055 Hz
Message
FTL HIGH: -EAST 8/23/2005 11:34:00 PM (EDT)Frequency has reached/or exceeded FTL of 60.05 Hz. for more than 5 minutes.
Load-Generation resources under inadequate balance.
Research Focus 2:North American SynchroPhasor Initiative
INFRASTRUCTUREDEVELOPMENT
FORENSIC ANALYSIS/
BASELINING APPLICATIONSINDUSTRYADOPTION
PROBLEM IDENTIFICATION
VISUALIZATIONFOR WIDE-AREA
SITUATIONALAWARENESS
• 1996 Western Interconnection Blackouts
• 2003 Northeast Blackout
TVA Super PDC
IEEE 37.118
NIST SynchroLab
• Real Time Dynamics Monitoring System
• CAISO Operating Engineers Workstation
• BaseliningStatic Angles in East
• Small Signal Stability Monitoring
Intelligent Alarming
State Estimation
Adaptive Islands
EIPP ->NASPI
WECC WAMTF
Research Roadmap
Phasor Measurements, Real Time Wide-Area Situational Awareness, Visualization, Infrastructure, Monitoring, Alarming, and Control
Cleveland
Inaccurate Dynamic Models were a Cause of the WECC 1996 Breakup
Lack of Wide-Area Visibility Was a Cause of the EI Aug 14th, 2003 Blackout
Source: www.nerc.comAngles are based on data from blackout analysis.Angle reference is Browns Ferry.
ATTRIBUTE Traditional Grid Monitoring (SCADA)
PHASOR Technologies
Resolution1 sample every 2-4 seconds
10-120 samples per second
Measured Quantities Magnitude Only Magnitude & Phase Angle
Time Synchronization No Yes
FocusControl Area (Local) monitoring & control
Wide area (interconnection) monitoring & control
Observability Steady state onlySteady state, dynamic and transients
Monitoring Angles, Damping, Frequency Response, & Other Metrics
No Yes
Oscillation Detection No Yes
Phasor technology is NOT a replacement for SCADA,
rather it complements existing SCADA systems
Phasor technology is NOT a replacement for SCADA,
rather it complements existing SCADA systems
Phasor Technologies Give Operators MRI-like Visibility of Power Systems
Slide 13
WESTERN INTERCONNECTION – EXISTING PMUs
– NEW & PROPOSED PMUs
GOAL – ALL 500 KV SUBSTATIONS, RENEWABLES AND KNOWN CONGESTION POINTS
Visualization Tiers – Dashboard, Interconnection, Reliability Coordinator, Local Area
Visualization – “Dashboard” DisplayReal Time Alarms within
ALLRTDMS Client Applications
Research Focus 3: Science-Based Analysis of Market Designs
and Real-Time Market Monitoring Tools
MARKETANALYSIS
INFRASTRUCTURE
INCORPORATINGNETWORK
PROPERTIES
MARKETMONITORING
TOOLS
COMPLETE OPTIMI-ZATION OF MARKET
DESIGNPROBLEM
IDENTIFICATION
MARKETDESIGN
EVALUATION
• Eastern ISO Price Spikes 1999
• Western Market Meltdown 2000-2001
Experimental economics power system market simulation platform
Auction design evaluations
Effects of demand response
VAR and real power markets
Co-optimization of real and reserve power markets
Revenue sensitivity
Real-time market monitoring prototype tool
Super OPF design studies
Engineering Design Tools, Market Simulation, Real-Time Market Monitoring Tools
Tools that optimally dispatch and correctly price:
• Real energy• VArs• Real power
reserves• Dynamic
reactive reserves
• Voltage
Science-Based Analysis of Electricity Market Designs and Operation
0 10 20 30 40 50 60 70 8035
40
45
50
55
60
65
70
75
80Session 20
Trading Period
Generator 1 Generator 2 Generator 3 Generator 4 Generator 5 Generator 6 Competitive Avg
Research Focus 4: Demand Response or Load As A Resource
• Price Spikes
• Supplier Market Power
• Inelastic Demand
NERC Policy 10 revisions to allow for demand response
WECC CMOPS and MORCWG policy changes
Program design and evaluations for leading ISO demand response program (NYISO, ISO NE, PJM)
Provision of spinning reserve with aggregated demand-side resources
Quantify unique system values of Demand Response –speed of response, geographic targetingMarket power mitigation
Capability Building, Demonstrations, Policy Changes, Enhanced Values
TECHNOLOGYREQUIREMENTS
DEMON-STRATIONS
EFFICIENTDEMAND-SIDE
MARKETPARTICIPATION
PROBLEM IDENTIFICATION
TECHNICAL SUPPORT/
CAPABILITY BUILDING
INSTITUTIONALCHANGE
Technology review
Ancillary services review
59.90
59.92
59.94
59.96
59.98
60.00
60.02
60.04
5:50 6:00 6:10 6:20 6:30
TIME (pm)
FR
EQ
UE
NC
Y (
Hz)
2600-MWGeneration
Lost AGC RESPONSE
GOVERNOR RESPONSE
0
200
400
600
800
1000
1200
16-Ju
l
29-Ju
l
10-A
ug
20-A
ug4-Se
p
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ep9-Oct
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ct
16-N
ov
13-D
ec
23-Dec
10-Ja
n
24-Ja
n
15-Fe
b
27-Fe
b
31-M
ar
24-A
pr
14-M
ay
24-M
ay7-Ju
n
21-Ju
n5-J
ul
19-Ju
l
2-Au
g
16-Aug
19-S
ep
MW
h
MWh Offered
MWh Accepted
2001 2002
1314
1516
17
30-Jul
14-Aug0
100
200
300
400
500
600
700
800
900
MW
Hour Beginning
Interfacing Electricity and Transportation Networks
There Are Five Basic Types of Responsive Load
1. Energy Efficiency programs reduce overall electricity consumption, generally also at times of peak demand
2. Price Response programs move consumption from times of high prices to times of lower prices (real time pricing or time of use)
3. Peak Shaving programs require more response during peak hours and focus on reducing peaks on high-system load days
4. Reliability Response (contingency response) requires the fastest, shortest duration response. Response is only required during power system “events.” – This is new and slowly developing.
5. Regulation Response continuously follows minute-to-minute commands from the grid in order to balance the aggregate system load and generation – This is also very new and appears to be very promising for certain loads.
Contingency Reserves Restore System Frequency
Immediately After Loss of Generation
59.90
59.92
59.94
59.96
59.98
60.00
60.02
60.04
5:50 6:00 6:10 6:20 6:30
TIME (pm)
FR
EQ
UE
NC
Y (
Hz)
2600-MWGeneration
Lost AGC RESPONSE
GOVERNOR RESPONSE
2009 PG&E Test System
PG&E Real Time Display
Research Focus 5: Distributed Energy Resource Microgrids
CONCEPTUALDESIGN
FULL-SCALETEST BED
PROBLEM IDENTIFICATION
PROOF OF CONCEPT
Tool Development, Simulation, Bench-Scale Testing, Full-Scale Test Bed, and Value Engineering
STANDARDIZEDENGINEERING
DESIGNS
ANALYTICTOOL
DEVELOPMENT
• Customer demand for reliability and power quality
• Grid integration concerns
MicrogridConcept
muGrid
DER-Customer Adoption Model
American Electric Power Test Bed
IEEE 1547.4
Lower cost of key components
Simulation analysis
Laboratory bench-scale tests
Test bed design
DR
DR
DR
Microgrids vs. CERTS Microgrids
“A microgrid is an integrated energy system consisting of interconnected loads and distributed energy resources which as an integrated system can operate in parallel with the grid or inan intentional island mode”
Microgrids Research Assessment prepared by Navigant Consulting for DOE and CEC. May 2006
Distinguishing features of the CERTS Microgrid Concept• Seamless islanding and reconnection via single PCC• Peer-to-peer, autonomous coordination among micro-
sources• Plug-and-play - no custom engineering
Distinguishing features of the CERTS Microgrid Test Bed Demonstration• Small sources (<100 kW each)• No stand-alone storage (yet)• No power flow onto the grid
25
AEP/CERTS Microgrid test site
Static Switch
Loads
60 kWSources
Research Focus 6: Reliability Technology Issues and
Needs Assessment
Technology Scoping, Analytical Studies, DOE Analysis Support
• Blackouts, Declining Reliability
• Increased Transmission Congestion
• Inadequate Transmission Investment
•Grid of the Future White Papers
•Real-time tools assessment
•Grid metrics
•Cost of power interruptions to US
•Review of US congestion costs
•Transmission cost allocation
• 2002 National Transmission Grid Study
• 2006 and 2009 DOE Congestion Studies
• 1999 Power Outage Study Team
• 2003 Blackout Investigation
• Renewable operational integration
•Transmission planning R&D needs
• Event reporting
BLACKOUT INVESTIGATION
ECONOMICASSESSMENT
PROBLEM IDENTIFICATION
NATIONALPOLICY STUDIES
TECHNOLOGYSCOPING
TECHNICALASSESSMENT
Residential
2%
Commercial
72%
Industrial
26%$1.5 Billion
$20.4 Billion
$56.8 Billion
U.S. Total:
$79 Billion
Momentary
Interruptions
67%
Sustained
Interruptions
33%
U.S. Total:
$79 Billion
$52.3 Billion
$26.3 Billion
Renewable Resource Production
Summer Day 2010
0.0
1.0
2.0
3.0
4.0
5.0
6.0
1 3 5 7 9
11
13
15
17
19
21
23 Hours
Pro
du
ctio
n (
GW
)
Geothermal Biomass Small Hydro Solar Wind
Renewable Electricity Generation Resources Are Sometimes Located Far From Load Centers
Source: DOE National Electric Transmission Congestion Study
28
Wind is an Intermittent Resource; However, It Is Also a Predictable Resource
-100
0
100
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500
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700
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
Hour
Me
ga
wa
tts
!Average
Each Day is a different color.
!Day 29
!Day 5!Day 26
!Day 9
Tehachapi Wind Generation in April – 2005 Source: CAISO