Bill Blevins Sep. 24, 2014 PV Forecasting RFP
Dec 21, 2015
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PV Short-term Forecast
Value of solar forecasts to bulk power system reliability• To assist the balancing area operators in performing their duties• To enhance the economic efficiency and manage bulk power system
reliability operational affects on the remainder of the generation fleet
Key Features:• Address photovoltaics (PV) only• Centralized solar forecast
• Benefits of size• Different forecasts for different uses and time periods
• Next hours forecast• Next day forecast
• Unbiased forecast typically the 50% POE (probability of exceedance)
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Experiences with Wind Forecast at ERCOT and Potential Needs for PV Forecast
• Delivery: Hourly - 15 minutes after the hour (may change this)
• Forecast period: rolling 48 hour ahead forecast
• Forecast parameters for each WGR
- Average hourly MW
- 50% POE MW (labeled as STWPF used for COP)
- 80% POE MW (labeled as WGRPP)
Short Term Wind Power Forecast
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NPRR 615 PVGR Forecasting
PVGRPP PhotoVoltaic Generation Resource Production PotentialSTPPF Short-Term PhotoVoltaic Power ForecastPVGR PhotoVoltaic Generation Resource
Approved by Board of Directors on Aug. 12, 2014
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• Global Solar Irradiance (~90%), • Temperature (~10%), • Wind (<1%)• Type of Plant
– Determines exact impact of all three factors– Categories of plants: (1) PV, (2) Concentrating PV, (3)
Solar thermal (also concentrating)– PV is sensitive to Global Irradiance– Concentrating types (thermal and PV) are sensitive to
Direct Normal Irradiance– Also significant sensitivity variations within basic categories
Factors that Affect Solar Power
Solar Power Forecast Challenge
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Making the Best Forecast for Various Time Scales
Minutes Ahead•Cumulus clouds, small-scale cloud structures, fog•Rapid and erratic evolution; very short lifetimes•Mostly not observed by current sensor network•Tools: persistence, skycams, local irradiance trends•Very difficult to beat a persistence forecast•Need: Data & tools to handle development & dissipation
Hours Ahead• Frontal bands, mesoscale bands, fog, thunderstorms• Rapidly changing, short lifetimes• Current sensors detect existence but not structure• Tools: satellite-based cloud advection and NWP• Need: Better forecasts of development & dissipation
Days Ahead•“Lows and Highs”, frontal systems•Slowly evolving, long lifetimes•Well observed with current sensor network•Tools: NWP with statistical adjustments•> ~ 10 days- climatology and climate trends•Need: better NWP performance & improved MOS
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Timelines of PV Forecasting RFP
7/16/2014RFP release
7/23/2014 Optional Notice of Intend to Propose Due
08/18/2014 Vendor Proposals Due
09/30/2014 Vendor Presentations
12/01/2014 Anticipated Contract Award
01/01/2015 Anticipated Contract Start Date
Proposed/ Current timeline. May be modified based on expected ability of respondents and ERCOT to complete necessary RFP evaluations.
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Data Flow and Dependencies of Renewable Production (PVGR) Potential Forecast
Renewable Production
Potential Forecast
Supervisory Control and Data
Acquisition (SCADA)
Data from PV Generation
Resources
RPP forecasts to QSEs
MISCertified Area
Market Information Systems (MIS)Secure Area
STPPF/PVGRPP
Mid-Term PV Generation Forecast
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PVGRs Telemetry Meteorological Data Points
Element Device(s) Needed Units Plane of Array Irradiance
Pyranometer or Equivalent
W/m²
Back Panel Temperature (Degree C)
Temperature probe for back panel temperature
⁰C
Air Temperature (Degrees Celsius)
Temperature probe & shield for ambient temp
⁰C
Wind Speed (Meter / Second)
Anemometer, wind vane and wind mast
m/s
Wind Direction (Degrees - Zero North 90CW)
Anemometer, wind vane and wind mast
Degrees
Barometric Pressure (hecto Pascals)
Barometer hPA
Plane of Array Irradiance (POA irradiance) is a measure of the total amount of solar energy that is available to an array, based the location of the array and the direction of the modules. POA irradiance is calculated at the module level, and averaged across modules to generate system-level values.
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PVPF Process InputsSource Data
Registration system1. Resource Parameters Resource Name Location of PVGR (latitude and longitude or equivalent for the center point of
PVGR) Location of the meteorological station (latitude and longitude or equivalent) Type (manufacturer/model) and number of PV panels Panel Power Rating Number of inverters Inverter ratings Tracking/Single or Dual Axis Tracking Tracker Manufacturer Tracker Model
1. Resource Commercial Operation Date
Energy Management
System (EMS)
1. Most recent Resource (PVGR) status with date/time 2. Most recent MW output of PVGR with date/time3. Most recent meteorological measurement from one meteorological station
with date/time4. Temperature and barometric pressure on the meteorological station
Telemetry value SCADA telemetry values are sent every 5 minutes from EMS to the PV forecast
service provider (all of these are Unit specific information with their Qualified
Scheduling Entities (QSE) mapping)1. MW Average2. Wind Speed3. Wind Direction4. Temperature5. Barometric Pressure6. Back Panel Temperature(*)7. Plane of Array Irradiance(*)8. HSL Average9. Num of Panels ON10. Num of Panels Off11. Num of Panels Unknown12. Curtailment Flag
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PV Forecasting RFP Requirement
• STPPF/PVGRPP will be delivered to ERCOT hourly, providing a rolling 48-hour hourly forecast of production potential for each PVGR or the entire ERCOT systems
• MTPVGF is an hourly forecast service for PVGR generation and the ERCOT system for the current day and the next 7 days.
• The performance of PV forecasting is evaluated based on both accuracy and reliability
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iii pp
NMAE
1
1
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Progress on RFP
• More than 60 questions were clarified• 8 respondents received in response to
RFP• 6 proposals were selected for
presentation to narrow down the participants in the RFP
• ERCOT is identifying parties to provide presentations on their approach as the next step in commencing solar forecasting.
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Bill BlevinceManager Operations PlanningElectric Reliability Council of Texas, Inc.2705 West Lake DriveTaylor, Texas 76574