SlideShare a Scribd company logo
1 of 27
Download to read offline
Cold Weather and Wind
Forecasting
Generator Weatherization Workshop
ERCOT Operations
Cold Weather and Wind
Forecasting
Generator Weatherization Workshop
ERCOT Operations
Table of Contents
– Overview
– Wind Forecast @ ERCOT
– Wind Forecast and Extreme Weather (Icing Event)
Acronyms for this presentation:
– WGR: Wind-powered Generation Resource
– STWPF: Short-term Wind Power Forecast
– COP: Current Operating Plan
Overview
Installed Wind Generation in ERCOT
Wind Regions within ERCOT
Panhandle:
2129 MW
South:
541 MW
West:
9,539 MW
North:
923 MW
Coast:
1900
MW
Challenges in Wind Forecast
1. Relatively concentrated geographic region for wind installation (lack of spatial diversity)
2. Texas weather can change rapidly
3. Severe changes in wind generation output caused by different types of extreme weather
(large wind ramps)
• Frontal system, trough, or dry line/Thunderstorms/Low-level jets/Weakening pressure
gradients/Strengthening pressure gradients
4. There is an approximation of hypothetical wind speed-power curve to the real one
Hypothetical
Power Curve
Actual Wind Farm
Power
The steep part of the power curve from 4-12 m/s is where power
increases strongly with speed.
Cold Weather
-8
-6
-4
-2
0
2
4
6
8
10
0
2
4
6
8
10
12
2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001
Coldest
Temperature
Cold
Days
Amarillo
Cold days with temperature below 5 F COLDEST Temperature
Wind Generation Record
WIND
(MW)
LOAD(MW) Penetration
03/29/2015 02:12 10,308 25,400 40.58%
02/19/2015 22:25 11,154 32614 34.20%
Day-Ahead Wind Forecast Error
Wind Forecast
4.2.2 Wind-Powered Generation Resource
Production Potential
(1) ERCOT shall produce and update hourly a Short-Term Wind Power
Forecast (STWPF) that provides a rolling 48-hour hourly forecast of
wind production potential for each Wind-powered Generation
Resource (WGR). ERCOT shall produce and update an hourly
Total ERCOT Wind Power Forecast (TEWPF) providing a
probability distribution of the hourly production potential from all
wind-power in ERCOT for each of the next 48 hours. Each
Generation Entity that owns a WGR shall install and telemeter to
ERCOT the site-specific meteorological information that ERCOT
determines is necessary to produce the STWPF and TEWPF
forecasts. ERCOT shall establish procedures specifying the
accuracy requirements of WGR meteorological information
telemetry.
Please note : For a WGR going through commissioning process, ERCOT will start providing STWPF to the QSE once
WGR receives approval to Generate into the ERCOT Grid (Part II of the Commissioning check list)
3.9.1 Current Operating Plan (COP) Criteria
(7) For the first 48 hours of the COP, a QSE representing a Wind-powered
Generation Resource (WGR) must enter an HSL value that is less than or
equal to the amount for that Resource from the most recent Short-Term Wind
Power Forecast (STWPF) provided by ERCOT.
[NPRR615: Replace paragraph (8) above with the following upon system implementation:]
(8) For the first 168 hours of the COP, a QSE representing a Wind-powered
Generation Resource (WGR) must enter an HSL value that is less than or equal to the
amount for that Resource from the most recent Short-Term Wind Power Forecast (STWPF)
provided by ERCOT, and a QSE representing a PhotoVoltaic Generation Resource (PVGR)
must enter an HSL value that is less than or equal to the amount for that Resource from the
most recent Short-Term PhotoVoltaic Power Forecast (STPPF) provided by ERCOT.
NPRR 686 Changing the IRR Forecast from Next 48 Hours to Next 168 Hours
WPF Process Inputs
Source Data
Registration system 1. Resource Parameters
 Resource Name
 Location of wind farm (latitude and longitude or equivalent for the center point of wind farm)
 Location of the meteorological tower (latitude and longitude or equivalent)
 Type (manufacturer/model) and number of turbines
 Turbine hub height(s) above ground level with associated number of turbines
 Manufacturer’s power curve (capability curve)
1. Resource Commercial Operation Date
Energy Management
System (EMS)
1. Most recent Resource (wind farm) status with date/time
2. Most recent MW output of wind farm with date/time
3. Most recent wind speed and direction at hub height from one meteorological tower
with date/time
4. Temperature and barometric pressure at 2 m above ground level on the
meteorological tower
Telemetry value
SCADA telemetry values are sent every 5 minutes from EMS to the wind power forecast
service provider (all of these are Unit specific information with their Qualified Scheduling
Entities (QSE) mapping)
1. MW Average
2. Wind Speed
3. Wind Direction
4. Temperature
5. Barometric Pressure
6. HSL Average
7. Num of Turbines ON
8. Num of Turbines Off
9. Num of Turbines Unknown
10. Curtailment Flag
Wind Forecast and
Extreme Weather
(Icing Event)
Icing Impacts
Wind Turbines in Cold Climates: Icing Impacts and Mitigation
Systems, http://www.springer.com/us/book/9783319051901
Wind forecast on Feb 10, 2014
0
500
1,000
1,500
2,000
2,500
3,000
3,500
4,000
4,500
5,000
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
MW
Hour Ending
Day-ahead STWPF for Feb. 10, 2014 Est. Uncurtailed Output (MW) Hour-ahead STWPF for Feb. 10, 2014
0
500
1,000
1,500
2,000
2,500
3,000
3,500
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
MW
Hour Ending
Day-ahead STWPF for Feb. 11, 2014 Est. Uncurtailed Output (MW) Hour-ahead STWPF for Feb. 11, 2014
Wind Forecast on Feb. 11, 2014
Wind forecast on Dec. 30, 2014
2,000
2,600
3,200
3,800
4,400
5,000
5,600
6,200
6,800
7,400
8,000
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
MW
Hour Ending
Day-ahead STWPF for Dec. 30, 2014 Est. Uncurtailed Output (MW) Hour-ahead STWPF for Dec. 30, 2014
Wind Forecast on Feb. 23, 2015
0
1,000
2,000
3,000
4,000
5,000
6,000
7,000
8,000
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
MW
Hour Ending
Day-ahead Wind Forecast (MW) Est. Uncurtailed Output (MW) Hour-ahead Wind Forecast (MW)
Challenges Created by Icing
• Icing created a mismatch between the forecast and
actual production.
• This created an error in the forecast which then was
provided to WGRs.
• This error was used in the COP for RUC.
• Could lead to ERCOT counting on more wind than
WGRs are able to generate.
Addressing the Wind Turbine Icing
• Key to addressing Icing is to update the telemetry for
number of turbines on and off.
• If the outage will last greater than 2 hours then enter into
the outage scheduler.
3.1.4.5 Notice of Forced Outage or Unavoidable Extension
of Planned or Maintenance Outage Due to Unforeseen
Events
(2) Any Forced Outage that occurs in Real-Time must be
entered into the Outage Scheduler if it is to remain an Outage
for longer than two hours.
RRGRR-0003
• Notice of request for information for wind-powered generation
resources was issued in 2015
• SITECODE
• Resource Entity
• Resource Name (Unit_Code_Mnemonic)
• WGR GROUP_CODE
• Turbine Manufacturer/Model
• Maximum Operating Temperature (Fahrenheit (°F))
• Minimum Operating Temperature(Fahrenheit (°F))
• High Wind Speed Cut-Out (meters per seconds (m/s))
• High Wind Speed Cut-Out time (minutes)
• High Wind Speed Cut-Out Reset (meters per seconds (m/s))
• High Wind Speed Cut-Out Reset Time (minutes)
Cold Weather Extreme Package for Wind Turbines
• It ensures that wind turbine operates in temperatures as
low as -30C (-22F), and in survival mode without
operation, at temperatures as low as -40C (-40F) (for
example GE 2.5xl wind turbines).
• Similar cold weather package is also offered by other
wind turbine manufactures.
Minimum temperature
(standard) operational / survival
Standard weather
package
-15°C/-20°C (5F/-4F)
Cold weather
package
-30 °C/-40 °C (-22F/-40F)
ERCOT Wind Resources with Minimum
Operating Temperatures > 0 deg F
1954
3948
Capacity at Risk with Temperatures
between 6-14 deg (F)
Capacity at Risk with Temperatures
between 0-5 deg (F)
Weather Outlook
Manual Override
Questions?

More Related Content

What's hot

NatSat INSPIRE Presenation
NatSat INSPIRE Presenation NatSat INSPIRE Presenation
NatSat INSPIRE Presenation Linda Schmidt
 
EUREC-NTUA Projects - Carlos Silva
EUREC-NTUA Projects - Carlos SilvaEUREC-NTUA Projects - Carlos Silva
EUREC-NTUA Projects - Carlos SilvaCarlos Silva
 
Michael Fuchs the Head of Technology at E.On Kernkraft (Atoms for the Future ...
Michael Fuchs the Head of Technology at E.On Kernkraft (Atoms for the Future ...Michael Fuchs the Head of Technology at E.On Kernkraft (Atoms for the Future ...
Michael Fuchs the Head of Technology at E.On Kernkraft (Atoms for the Future ...Société Française d'Energie Nucléaire
 
Critical Power: Generators and Generator System Design
Critical Power: Generators and Generator System DesignCritical Power: Generators and Generator System Design
Critical Power: Generators and Generator System DesignConsultingSpecifyingEngineer
 
Paralleling Switchgear
Paralleling SwitchgearParalleling Switchgear
Paralleling Switchgearmichaeljmack
 
Estrategias para ahorro de energía en applicaciones de misión crítica de IT
Estrategias para ahorro de energía en applicaciones de misión crítica de ITEstrategias para ahorro de energía en applicaciones de misión crítica de IT
Estrategias para ahorro de energía en applicaciones de misión crítica de ITData Center Consultores
 

What's hot (8)

NatSat INSPIRE Presenation
NatSat INSPIRE Presenation NatSat INSPIRE Presenation
NatSat INSPIRE Presenation
 
EUREC-NTUA Projects - Carlos Silva
EUREC-NTUA Projects - Carlos SilvaEUREC-NTUA Projects - Carlos Silva
EUREC-NTUA Projects - Carlos Silva
 
Table summary of reactor unit status at 18-april 2011
Table  summary of reactor unit status at 18-april 2011Table  summary of reactor unit status at 18-april 2011
Table summary of reactor unit status at 18-april 2011
 
Michael Fuchs the Head of Technology at E.On Kernkraft (Atoms for the Future ...
Michael Fuchs the Head of Technology at E.On Kernkraft (Atoms for the Future ...Michael Fuchs the Head of Technology at E.On Kernkraft (Atoms for the Future ...
Michael Fuchs the Head of Technology at E.On Kernkraft (Atoms for the Future ...
 
Critical Power: Generators and Generator System Design
Critical Power: Generators and Generator System DesignCritical Power: Generators and Generator System Design
Critical Power: Generators and Generator System Design
 
16 lave 2016_pv_grid_integration_workshop_lave3_sand
16 lave 2016_pv_grid_integration_workshop_lave3_sand16 lave 2016_pv_grid_integration_workshop_lave3_sand
16 lave 2016_pv_grid_integration_workshop_lave3_sand
 
Paralleling Switchgear
Paralleling SwitchgearParalleling Switchgear
Paralleling Switchgear
 
Estrategias para ahorro de energía en applicaciones de misión crítica de IT
Estrategias para ahorro de energía en applicaciones de misión crítica de ITEstrategias para ahorro de energía en applicaciones de misión crítica de IT
Estrategias para ahorro de energía en applicaciones de misión crítica de IT
 

Similar to Operations analysis impact_of_cold_weather_on_wind_forecast

Capacity building 2010 day 1 wind energy in morocco
Capacity building 2010 day 1 wind energy in moroccoCapacity building 2010 day 1 wind energy in morocco
Capacity building 2010 day 1 wind energy in moroccoRCREEE
 
Capacity building 2010 day 1 wind energy in morocco
Capacity building 2010 day 1 wind energy in moroccoCapacity building 2010 day 1 wind energy in morocco
Capacity building 2010 day 1 wind energy in moroccoRCREEE
 
Wind Resource Assessment
Wind Resource AssessmentWind Resource Assessment
Wind Resource Assessmentmtingle
 
Wind Energy Technology
Wind Energy TechnologyWind Energy Technology
Wind Energy TechnologyAjay Bhatnagar
 
Nwtc turb sim workshop september 22 24, 2008- boundary layer dynamics and wi...
Nwtc turb sim workshop september 22 24, 2008-  boundary layer dynamics and wi...Nwtc turb sim workshop september 22 24, 2008-  boundary layer dynamics and wi...
Nwtc turb sim workshop september 22 24, 2008- boundary layer dynamics and wi...ndkelley
 
Wind Power Generation Schemes
Wind Power Generation SchemesWind Power Generation Schemes
Wind Power Generation SchemesVignesh Sekar
 
Power Performance Optimization using LiDAR technology : India Pilot Project R...
Power Performance Optimization using LiDAR technology : India Pilot Project R...Power Performance Optimization using LiDAR technology : India Pilot Project R...
Power Performance Optimization using LiDAR technology : India Pilot Project R...Karim Fahssis 卡卡
 
Mcclellan afb digital wind measuring system
Mcclellan afb digital wind measuring systemMcclellan afb digital wind measuring system
Mcclellan afb digital wind measuring systemwebadminjk
 
Must-hybrid-power-generation-station {wind turbine (hawt)&solar (pv)}
 Must-hybrid-power-generation-station {wind turbine (hawt)&solar (pv)} Must-hybrid-power-generation-station {wind turbine (hawt)&solar (pv)}
Must-hybrid-power-generation-station {wind turbine (hawt)&solar (pv)}Mohammed Ahmed Ramadan
 
The Wind Powered Generator
The Wind Powered GeneratorThe Wind Powered Generator
The Wind Powered GeneratorIOSR Journals
 
Wind Prospect Poster 023 - Optimising Facility Power Curve Calculations in So...
Wind Prospect Poster 023 - Optimising Facility Power Curve Calculations in So...Wind Prospect Poster 023 - Optimising Facility Power Curve Calculations in So...
Wind Prospect Poster 023 - Optimising Facility Power Curve Calculations in So...Matthew Behrens
 
Wind turbine power curves types & factors for evaluation
Wind turbine power curves   types & factors for evaluationWind turbine power curves   types & factors for evaluation
Wind turbine power curves types & factors for evaluationvasishta bhargava
 
ABT a complete report and a case study
ABT a complete report and a case studyABT a complete report and a case study
ABT a complete report and a case studyWaseem Hashmat
 
Review of different Fault Ride through (FRT) Control Strategies for a DFIG Wi...
Review of different Fault Ride through (FRT) Control Strategies for a DFIG Wi...Review of different Fault Ride through (FRT) Control Strategies for a DFIG Wi...
Review of different Fault Ride through (FRT) Control Strategies for a DFIG Wi...IRJET Journal
 
S4 oman wind energy the technology 2016
S4 oman wind energy the technology 2016S4 oman wind energy the technology 2016
S4 oman wind energy the technology 2016CETN
 
Design Construction, Simulation and Testing of A 300W Wind-Powered Battery Ch...
Design Construction, Simulation and Testing of A 300W Wind-Powered Battery Ch...Design Construction, Simulation and Testing of A 300W Wind-Powered Battery Ch...
Design Construction, Simulation and Testing of A 300W Wind-Powered Battery Ch...theijes
 
Westward Ounalashka Final Report R1
Westward Ounalashka Final Report R1Westward Ounalashka Final Report R1
Westward Ounalashka Final Report R1Richard Peck
 

Similar to Operations analysis impact_of_cold_weather_on_wind_forecast (20)

Capacity building 2010 day 1 wind energy in morocco
Capacity building 2010 day 1 wind energy in moroccoCapacity building 2010 day 1 wind energy in morocco
Capacity building 2010 day 1 wind energy in morocco
 
Capacity building 2010 day 1 wind energy in morocco
Capacity building 2010 day 1 wind energy in moroccoCapacity building 2010 day 1 wind energy in morocco
Capacity building 2010 day 1 wind energy in morocco
 
Wind Resource Assessment
Wind Resource AssessmentWind Resource Assessment
Wind Resource Assessment
 
Wind Energy Technology
Wind Energy TechnologyWind Energy Technology
Wind Energy Technology
 
Nwtc turb sim workshop september 22 24, 2008- boundary layer dynamics and wi...
Nwtc turb sim workshop september 22 24, 2008-  boundary layer dynamics and wi...Nwtc turb sim workshop september 22 24, 2008-  boundary layer dynamics and wi...
Nwtc turb sim workshop september 22 24, 2008- boundary layer dynamics and wi...
 
Wind Power Generation Schemes
Wind Power Generation SchemesWind Power Generation Schemes
Wind Power Generation Schemes
 
Power Performance Optimization using LiDAR technology : India Pilot Project R...
Power Performance Optimization using LiDAR technology : India Pilot Project R...Power Performance Optimization using LiDAR technology : India Pilot Project R...
Power Performance Optimization using LiDAR technology : India Pilot Project R...
 
Mcclellan afb digital wind measuring system
Mcclellan afb digital wind measuring systemMcclellan afb digital wind measuring system
Mcclellan afb digital wind measuring system
 
Must-hybrid-power-generation-station {wind turbine (hawt)&solar (pv)}
 Must-hybrid-power-generation-station {wind turbine (hawt)&solar (pv)} Must-hybrid-power-generation-station {wind turbine (hawt)&solar (pv)}
Must-hybrid-power-generation-station {wind turbine (hawt)&solar (pv)}
 
The Wind Powered Generator
The Wind Powered GeneratorThe Wind Powered Generator
The Wind Powered Generator
 
Wind Prospect Poster 023 - Optimising Facility Power Curve Calculations in So...
Wind Prospect Poster 023 - Optimising Facility Power Curve Calculations in So...Wind Prospect Poster 023 - Optimising Facility Power Curve Calculations in So...
Wind Prospect Poster 023 - Optimising Facility Power Curve Calculations in So...
 
Wind turbine power curves types & factors for evaluation
Wind turbine power curves   types & factors for evaluationWind turbine power curves   types & factors for evaluation
Wind turbine power curves types & factors for evaluation
 
ABT a complete report and a case study
ABT a complete report and a case studyABT a complete report and a case study
ABT a complete report and a case study
 
Review of different Fault Ride through (FRT) Control Strategies for a DFIG Wi...
Review of different Fault Ride through (FRT) Control Strategies for a DFIG Wi...Review of different Fault Ride through (FRT) Control Strategies for a DFIG Wi...
Review of different Fault Ride through (FRT) Control Strategies for a DFIG Wi...
 
S4 oman wind energy the technology 2016
S4 oman wind energy the technology 2016S4 oman wind energy the technology 2016
S4 oman wind energy the technology 2016
 
Allen Report
Allen ReportAllen Report
Allen Report
 
Design Construction, Simulation and Testing of A 300W Wind-Powered Battery Ch...
Design Construction, Simulation and Testing of A 300W Wind-Powered Battery Ch...Design Construction, Simulation and Testing of A 300W Wind-Powered Battery Ch...
Design Construction, Simulation and Testing of A 300W Wind-Powered Battery Ch...
 
Westward Ounalashka Final Report R1
Westward Ounalashka Final Report R1Westward Ounalashka Final Report R1
Westward Ounalashka Final Report R1
 
Power from wind in india
Power from wind in indiaPower from wind in india
Power from wind in india
 
Wind turbine power
Wind turbine powerWind turbine power
Wind turbine power
 

More from Alexander Muse

Dallas County Monitoring Proposal
Dallas County Monitoring ProposalDallas County Monitoring Proposal
Dallas County Monitoring ProposalAlexander Muse
 
Wind Turbine Recycling Draft
Wind Turbine Recycling DraftWind Turbine Recycling Draft
Wind Turbine Recycling DraftAlexander Muse
 
Ghost Kitchen Deck (Draft)
Ghost Kitchen Deck (Draft)Ghost Kitchen Deck (Draft)
Ghost Kitchen Deck (Draft)Alexander Muse
 
Guide for Startup Public Relations
Guide for Startup Public RelationsGuide for Startup Public Relations
Guide for Startup Public RelationsAlexander Muse
 
Location Based Advertising Patent for ShopSavvy
Location Based Advertising Patent for ShopSavvyLocation Based Advertising Patent for ShopSavvy
Location Based Advertising Patent for ShopSavvyAlexander Muse
 
The Augmented Payment System Patent for ShopSavvy
The Augmented Payment System Patent for ShopSavvyThe Augmented Payment System Patent for ShopSavvy
The Augmented Payment System Patent for ShopSavvyAlexander Muse
 
UTD Business Idea Kickoff Presentation
UTD Business Idea Kickoff PresentationUTD Business Idea Kickoff Presentation
UTD Business Idea Kickoff PresentationAlexander Muse
 
L1images 100618001409-phpapp01
L1images 100618001409-phpapp01L1images 100618001409-phpapp01
L1images 100618001409-phpapp01Alexander Muse
 
Bootstrappdf 090327104856-phpapp02
Bootstrappdf 090327104856-phpapp02Bootstrappdf 090327104856-phpapp02
Bootstrappdf 090327104856-phpapp02Alexander Muse
 
Mobileuidevchallengesinnovate2012a 120607124912-phpapp02
Mobileuidevchallengesinnovate2012a 120607124912-phpapp02Mobileuidevchallengesinnovate2012a 120607124912-phpapp02
Mobileuidevchallengesinnovate2012a 120607124912-phpapp02Alexander Muse
 
Living the Dream - Humorous Startup Presentation
Living the Dream - Humorous Startup PresentationLiving the Dream - Humorous Startup Presentation
Living the Dream - Humorous Startup PresentationAlexander Muse
 
Ethan's Second Grade Football Plays
Ethan's Second Grade Football PlaysEthan's Second Grade Football Plays
Ethan's Second Grade Football PlaysAlexander Muse
 

More from Alexander Muse (15)

Dallas County Monitoring Proposal
Dallas County Monitoring ProposalDallas County Monitoring Proposal
Dallas County Monitoring Proposal
 
Wind Turbine Recycling Draft
Wind Turbine Recycling DraftWind Turbine Recycling Draft
Wind Turbine Recycling Draft
 
Ghost Kitchen Deck (Draft)
Ghost Kitchen Deck (Draft)Ghost Kitchen Deck (Draft)
Ghost Kitchen Deck (Draft)
 
Guide for Startup Public Relations
Guide for Startup Public RelationsGuide for Startup Public Relations
Guide for Startup Public Relations
 
Location Based Advertising Patent for ShopSavvy
Location Based Advertising Patent for ShopSavvyLocation Based Advertising Patent for ShopSavvy
Location Based Advertising Patent for ShopSavvy
 
The Augmented Payment System Patent for ShopSavvy
The Augmented Payment System Patent for ShopSavvyThe Augmented Payment System Patent for ShopSavvy
The Augmented Payment System Patent for ShopSavvy
 
UTD Business Idea Kickoff Presentation
UTD Business Idea Kickoff PresentationUTD Business Idea Kickoff Presentation
UTD Business Idea Kickoff Presentation
 
L1images 100618001409-phpapp01
L1images 100618001409-phpapp01L1images 100618001409-phpapp01
L1images 100618001409-phpapp01
 
Bootstrappdf 090327104856-phpapp02
Bootstrappdf 090327104856-phpapp02Bootstrappdf 090327104856-phpapp02
Bootstrappdf 090327104856-phpapp02
 
Mobileuidevchallengesinnovate2012a 120607124912-phpapp02
Mobileuidevchallengesinnovate2012a 120607124912-phpapp02Mobileuidevchallengesinnovate2012a 120607124912-phpapp02
Mobileuidevchallengesinnovate2012a 120607124912-phpapp02
 
Early LayerOne Deck
Early LayerOne DeckEarly LayerOne Deck
Early LayerOne Deck
 
Living the Dream - Humorous Startup Presentation
Living the Dream - Humorous Startup PresentationLiving the Dream - Humorous Startup Presentation
Living the Dream - Humorous Startup Presentation
 
Ethan's Second Grade Football Plays
Ethan's Second Grade Football PlaysEthan's Second Grade Football Plays
Ethan's Second Grade Football Plays
 
Early ShopSavvy Deck
Early ShopSavvy DeckEarly ShopSavvy Deck
Early ShopSavvy Deck
 
Early ShopSavvy Deck
Early ShopSavvy DeckEarly ShopSavvy Deck
Early ShopSavvy Deck
 

Recently uploaded

Caco-2 cell permeability assay for drug absorption
Caco-2 cell permeability assay for drug absorptionCaco-2 cell permeability assay for drug absorption
Caco-2 cell permeability assay for drug absorptionPriyansha Singh
 
STERILITY TESTING OF PHARMACEUTICALS ppt by DR.C.P.PRINCE
STERILITY TESTING OF PHARMACEUTICALS ppt by DR.C.P.PRINCESTERILITY TESTING OF PHARMACEUTICALS ppt by DR.C.P.PRINCE
STERILITY TESTING OF PHARMACEUTICALS ppt by DR.C.P.PRINCEPRINCE C P
 
Presentation Vikram Lander by Vedansh Gupta.pptx
Presentation Vikram Lander by Vedansh Gupta.pptxPresentation Vikram Lander by Vedansh Gupta.pptx
Presentation Vikram Lander by Vedansh Gupta.pptxgindu3009
 
G9 Science Q4- Week 1-2 Projectile Motion.ppt
G9 Science Q4- Week 1-2 Projectile Motion.pptG9 Science Q4- Week 1-2 Projectile Motion.ppt
G9 Science Q4- Week 1-2 Projectile Motion.pptMAESTRELLAMesa2
 
Disentangling the origin of chemical differences using GHOST
Disentangling the origin of chemical differences using GHOSTDisentangling the origin of chemical differences using GHOST
Disentangling the origin of chemical differences using GHOSTSérgio Sacani
 
Types of different blotting techniques.pptx
Types of different blotting techniques.pptxTypes of different blotting techniques.pptx
Types of different blotting techniques.pptxkhadijarafiq2012
 
Raman spectroscopy.pptx M Pharm, M Sc, Advanced Spectral Analysis
Raman spectroscopy.pptx M Pharm, M Sc, Advanced Spectral AnalysisRaman spectroscopy.pptx M Pharm, M Sc, Advanced Spectral Analysis
Raman spectroscopy.pptx M Pharm, M Sc, Advanced Spectral AnalysisDiwakar Mishra
 
Biological Classification BioHack (3).pdf
Biological Classification BioHack (3).pdfBiological Classification BioHack (3).pdf
Biological Classification BioHack (3).pdfmuntazimhurra
 
Bentham & Hooker's Classification. along with the merits and demerits of the ...
Bentham & Hooker's Classification. along with the merits and demerits of the ...Bentham & Hooker's Classification. along with the merits and demerits of the ...
Bentham & Hooker's Classification. along with the merits and demerits of the ...Nistarini College, Purulia (W.B) India
 
Orientation, design and principles of polyhouse
Orientation, design and principles of polyhouseOrientation, design and principles of polyhouse
Orientation, design and principles of polyhousejana861314
 
Analytical Profile of Coleus Forskohlii | Forskolin .pptx
Analytical Profile of Coleus Forskohlii | Forskolin .pptxAnalytical Profile of Coleus Forskohlii | Forskolin .pptx
Analytical Profile of Coleus Forskohlii | Forskolin .pptxSwapnil Therkar
 
Botany 4th semester file By Sumit Kumar yadav.pdf
Botany 4th semester file By Sumit Kumar yadav.pdfBotany 4th semester file By Sumit Kumar yadav.pdf
Botany 4th semester file By Sumit Kumar yadav.pdfSumit Kumar yadav
 
All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...
All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...
All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...Sérgio Sacani
 
GFP in rDNA Technology (Biotechnology).pptx
GFP in rDNA Technology (Biotechnology).pptxGFP in rDNA Technology (Biotechnology).pptx
GFP in rDNA Technology (Biotechnology).pptxAleenaTreesaSaji
 
Call Us ≽ 9953322196 ≼ Call Girls In Mukherjee Nagar(Delhi) |
Call Us ≽ 9953322196 ≼ Call Girls In Mukherjee Nagar(Delhi) |Call Us ≽ 9953322196 ≼ Call Girls In Mukherjee Nagar(Delhi) |
Call Us ≽ 9953322196 ≼ Call Girls In Mukherjee Nagar(Delhi) |aasikanpl
 
Isotopic evidence of long-lived volcanism on Io
Isotopic evidence of long-lived volcanism on IoIsotopic evidence of long-lived volcanism on Io
Isotopic evidence of long-lived volcanism on IoSérgio Sacani
 
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...Sérgio Sacani
 
Cultivation of KODO MILLET . made by Ghanshyam pptx
Cultivation of KODO MILLET . made by Ghanshyam pptxCultivation of KODO MILLET . made by Ghanshyam pptx
Cultivation of KODO MILLET . made by Ghanshyam pptxpradhanghanshyam7136
 

Recently uploaded (20)

Caco-2 cell permeability assay for drug absorption
Caco-2 cell permeability assay for drug absorptionCaco-2 cell permeability assay for drug absorption
Caco-2 cell permeability assay for drug absorption
 
STERILITY TESTING OF PHARMACEUTICALS ppt by DR.C.P.PRINCE
STERILITY TESTING OF PHARMACEUTICALS ppt by DR.C.P.PRINCESTERILITY TESTING OF PHARMACEUTICALS ppt by DR.C.P.PRINCE
STERILITY TESTING OF PHARMACEUTICALS ppt by DR.C.P.PRINCE
 
Presentation Vikram Lander by Vedansh Gupta.pptx
Presentation Vikram Lander by Vedansh Gupta.pptxPresentation Vikram Lander by Vedansh Gupta.pptx
Presentation Vikram Lander by Vedansh Gupta.pptx
 
G9 Science Q4- Week 1-2 Projectile Motion.ppt
G9 Science Q4- Week 1-2 Projectile Motion.pptG9 Science Q4- Week 1-2 Projectile Motion.ppt
G9 Science Q4- Week 1-2 Projectile Motion.ppt
 
Engler and Prantl system of classification in plant taxonomy
Engler and Prantl system of classification in plant taxonomyEngler and Prantl system of classification in plant taxonomy
Engler and Prantl system of classification in plant taxonomy
 
Disentangling the origin of chemical differences using GHOST
Disentangling the origin of chemical differences using GHOSTDisentangling the origin of chemical differences using GHOST
Disentangling the origin of chemical differences using GHOST
 
Types of different blotting techniques.pptx
Types of different blotting techniques.pptxTypes of different blotting techniques.pptx
Types of different blotting techniques.pptx
 
Raman spectroscopy.pptx M Pharm, M Sc, Advanced Spectral Analysis
Raman spectroscopy.pptx M Pharm, M Sc, Advanced Spectral AnalysisRaman spectroscopy.pptx M Pharm, M Sc, Advanced Spectral Analysis
Raman spectroscopy.pptx M Pharm, M Sc, Advanced Spectral Analysis
 
Biological Classification BioHack (3).pdf
Biological Classification BioHack (3).pdfBiological Classification BioHack (3).pdf
Biological Classification BioHack (3).pdf
 
Bentham & Hooker's Classification. along with the merits and demerits of the ...
Bentham & Hooker's Classification. along with the merits and demerits of the ...Bentham & Hooker's Classification. along with the merits and demerits of the ...
Bentham & Hooker's Classification. along with the merits and demerits of the ...
 
Orientation, design and principles of polyhouse
Orientation, design and principles of polyhouseOrientation, design and principles of polyhouse
Orientation, design and principles of polyhouse
 
Analytical Profile of Coleus Forskohlii | Forskolin .pptx
Analytical Profile of Coleus Forskohlii | Forskolin .pptxAnalytical Profile of Coleus Forskohlii | Forskolin .pptx
Analytical Profile of Coleus Forskohlii | Forskolin .pptx
 
Botany 4th semester file By Sumit Kumar yadav.pdf
Botany 4th semester file By Sumit Kumar yadav.pdfBotany 4th semester file By Sumit Kumar yadav.pdf
Botany 4th semester file By Sumit Kumar yadav.pdf
 
9953056974 Young Call Girls In Mahavir enclave Indian Quality Escort service
9953056974 Young Call Girls In Mahavir enclave Indian Quality Escort service9953056974 Young Call Girls In Mahavir enclave Indian Quality Escort service
9953056974 Young Call Girls In Mahavir enclave Indian Quality Escort service
 
All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...
All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...
All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...
 
GFP in rDNA Technology (Biotechnology).pptx
GFP in rDNA Technology (Biotechnology).pptxGFP in rDNA Technology (Biotechnology).pptx
GFP in rDNA Technology (Biotechnology).pptx
 
Call Us ≽ 9953322196 ≼ Call Girls In Mukherjee Nagar(Delhi) |
Call Us ≽ 9953322196 ≼ Call Girls In Mukherjee Nagar(Delhi) |Call Us ≽ 9953322196 ≼ Call Girls In Mukherjee Nagar(Delhi) |
Call Us ≽ 9953322196 ≼ Call Girls In Mukherjee Nagar(Delhi) |
 
Isotopic evidence of long-lived volcanism on Io
Isotopic evidence of long-lived volcanism on IoIsotopic evidence of long-lived volcanism on Io
Isotopic evidence of long-lived volcanism on Io
 
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...
 
Cultivation of KODO MILLET . made by Ghanshyam pptx
Cultivation of KODO MILLET . made by Ghanshyam pptxCultivation of KODO MILLET . made by Ghanshyam pptx
Cultivation of KODO MILLET . made by Ghanshyam pptx
 

Operations analysis impact_of_cold_weather_on_wind_forecast

  • 1. Cold Weather and Wind Forecasting Generator Weatherization Workshop ERCOT Operations Cold Weather and Wind Forecasting Generator Weatherization Workshop ERCOT Operations
  • 2. Table of Contents – Overview – Wind Forecast @ ERCOT – Wind Forecast and Extreme Weather (Icing Event) Acronyms for this presentation: – WGR: Wind-powered Generation Resource – STWPF: Short-term Wind Power Forecast – COP: Current Operating Plan
  • 5. Wind Regions within ERCOT Panhandle: 2129 MW South: 541 MW West: 9,539 MW North: 923 MW Coast: 1900 MW
  • 6. Challenges in Wind Forecast 1. Relatively concentrated geographic region for wind installation (lack of spatial diversity) 2. Texas weather can change rapidly 3. Severe changes in wind generation output caused by different types of extreme weather (large wind ramps) • Frontal system, trough, or dry line/Thunderstorms/Low-level jets/Weakening pressure gradients/Strengthening pressure gradients 4. There is an approximation of hypothetical wind speed-power curve to the real one Hypothetical Power Curve Actual Wind Farm Power The steep part of the power curve from 4-12 m/s is where power increases strongly with speed.
  • 7. Cold Weather -8 -6 -4 -2 0 2 4 6 8 10 0 2 4 6 8 10 12 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 Coldest Temperature Cold Days Amarillo Cold days with temperature below 5 F COLDEST Temperature
  • 8. Wind Generation Record WIND (MW) LOAD(MW) Penetration 03/29/2015 02:12 10,308 25,400 40.58% 02/19/2015 22:25 11,154 32614 34.20%
  • 11. 4.2.2 Wind-Powered Generation Resource Production Potential (1) ERCOT shall produce and update hourly a Short-Term Wind Power Forecast (STWPF) that provides a rolling 48-hour hourly forecast of wind production potential for each Wind-powered Generation Resource (WGR). ERCOT shall produce and update an hourly Total ERCOT Wind Power Forecast (TEWPF) providing a probability distribution of the hourly production potential from all wind-power in ERCOT for each of the next 48 hours. Each Generation Entity that owns a WGR shall install and telemeter to ERCOT the site-specific meteorological information that ERCOT determines is necessary to produce the STWPF and TEWPF forecasts. ERCOT shall establish procedures specifying the accuracy requirements of WGR meteorological information telemetry. Please note : For a WGR going through commissioning process, ERCOT will start providing STWPF to the QSE once WGR receives approval to Generate into the ERCOT Grid (Part II of the Commissioning check list)
  • 12. 3.9.1 Current Operating Plan (COP) Criteria (7) For the first 48 hours of the COP, a QSE representing a Wind-powered Generation Resource (WGR) must enter an HSL value that is less than or equal to the amount for that Resource from the most recent Short-Term Wind Power Forecast (STWPF) provided by ERCOT. [NPRR615: Replace paragraph (8) above with the following upon system implementation:] (8) For the first 168 hours of the COP, a QSE representing a Wind-powered Generation Resource (WGR) must enter an HSL value that is less than or equal to the amount for that Resource from the most recent Short-Term Wind Power Forecast (STWPF) provided by ERCOT, and a QSE representing a PhotoVoltaic Generation Resource (PVGR) must enter an HSL value that is less than or equal to the amount for that Resource from the most recent Short-Term PhotoVoltaic Power Forecast (STPPF) provided by ERCOT. NPRR 686 Changing the IRR Forecast from Next 48 Hours to Next 168 Hours
  • 13. WPF Process Inputs Source Data Registration system 1. Resource Parameters  Resource Name  Location of wind farm (latitude and longitude or equivalent for the center point of wind farm)  Location of the meteorological tower (latitude and longitude or equivalent)  Type (manufacturer/model) and number of turbines  Turbine hub height(s) above ground level with associated number of turbines  Manufacturer’s power curve (capability curve) 1. Resource Commercial Operation Date Energy Management System (EMS) 1. Most recent Resource (wind farm) status with date/time 2. Most recent MW output of wind farm with date/time 3. Most recent wind speed and direction at hub height from one meteorological tower with date/time 4. Temperature and barometric pressure at 2 m above ground level on the meteorological tower Telemetry value SCADA telemetry values are sent every 5 minutes from EMS to the wind power forecast service provider (all of these are Unit specific information with their Qualified Scheduling Entities (QSE) mapping) 1. MW Average 2. Wind Speed 3. Wind Direction 4. Temperature 5. Barometric Pressure 6. HSL Average 7. Num of Turbines ON 8. Num of Turbines Off 9. Num of Turbines Unknown 10. Curtailment Flag
  • 14. Wind Forecast and Extreme Weather (Icing Event)
  • 15. Icing Impacts Wind Turbines in Cold Climates: Icing Impacts and Mitigation Systems, http://www.springer.com/us/book/9783319051901
  • 16. Wind forecast on Feb 10, 2014 0 500 1,000 1,500 2,000 2,500 3,000 3,500 4,000 4,500 5,000 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 MW Hour Ending Day-ahead STWPF for Feb. 10, 2014 Est. Uncurtailed Output (MW) Hour-ahead STWPF for Feb. 10, 2014
  • 17. 0 500 1,000 1,500 2,000 2,500 3,000 3,500 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 MW Hour Ending Day-ahead STWPF for Feb. 11, 2014 Est. Uncurtailed Output (MW) Hour-ahead STWPF for Feb. 11, 2014 Wind Forecast on Feb. 11, 2014
  • 18. Wind forecast on Dec. 30, 2014 2,000 2,600 3,200 3,800 4,400 5,000 5,600 6,200 6,800 7,400 8,000 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 MW Hour Ending Day-ahead STWPF for Dec. 30, 2014 Est. Uncurtailed Output (MW) Hour-ahead STWPF for Dec. 30, 2014
  • 19. Wind Forecast on Feb. 23, 2015 0 1,000 2,000 3,000 4,000 5,000 6,000 7,000 8,000 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 MW Hour Ending Day-ahead Wind Forecast (MW) Est. Uncurtailed Output (MW) Hour-ahead Wind Forecast (MW)
  • 20. Challenges Created by Icing • Icing created a mismatch between the forecast and actual production. • This created an error in the forecast which then was provided to WGRs. • This error was used in the COP for RUC. • Could lead to ERCOT counting on more wind than WGRs are able to generate.
  • 21. Addressing the Wind Turbine Icing • Key to addressing Icing is to update the telemetry for number of turbines on and off. • If the outage will last greater than 2 hours then enter into the outage scheduler. 3.1.4.5 Notice of Forced Outage or Unavoidable Extension of Planned or Maintenance Outage Due to Unforeseen Events (2) Any Forced Outage that occurs in Real-Time must be entered into the Outage Scheduler if it is to remain an Outage for longer than two hours.
  • 22. RRGRR-0003 • Notice of request for information for wind-powered generation resources was issued in 2015 • SITECODE • Resource Entity • Resource Name (Unit_Code_Mnemonic) • WGR GROUP_CODE • Turbine Manufacturer/Model • Maximum Operating Temperature (Fahrenheit (°F)) • Minimum Operating Temperature(Fahrenheit (°F)) • High Wind Speed Cut-Out (meters per seconds (m/s)) • High Wind Speed Cut-Out time (minutes) • High Wind Speed Cut-Out Reset (meters per seconds (m/s)) • High Wind Speed Cut-Out Reset Time (minutes)
  • 23. Cold Weather Extreme Package for Wind Turbines • It ensures that wind turbine operates in temperatures as low as -30C (-22F), and in survival mode without operation, at temperatures as low as -40C (-40F) (for example GE 2.5xl wind turbines). • Similar cold weather package is also offered by other wind turbine manufactures. Minimum temperature (standard) operational / survival Standard weather package -15°C/-20°C (5F/-4F) Cold weather package -30 °C/-40 °C (-22F/-40F)
  • 24. ERCOT Wind Resources with Minimum Operating Temperatures > 0 deg F 1954 3948 Capacity at Risk with Temperatures between 6-14 deg (F) Capacity at Risk with Temperatures between 0-5 deg (F)