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Subject, Office or event Estimating CRSP Purchase Power Jerry Wilhite June 3, 2020

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  • Subject, Office or event

    Estimating CRSP Purchase Power Jerry Wilhite

    June 3, 2020

  • Subject, Office or event

    Agenda

    • Purchased Power changes in WAPA -190• Overview of GTMax SuperLite• Input data• Modelling process• Calculating estimated annual purchase power cost• Factors that affect purchase power costs• Purchase power values used for WAPA-190

    2Estimating CRSP Purchase Power - June 3, 2020

  • Subject, Office or event

    WAPA -190 Changes

    • Remove $4M per year that was in the Power Repayment Study out-years

    • Extend number of years for projecting the required firming purchases to avoid gaps forecasts

    3Estimating CRSP Purchase Power - June 3, 2020

    Prior to WAPA-190 20

    2020

    2120

    2220

    2320

    2420

    25

    WAPA-190 Ratesetting 20

    2020

    2120

    2220

    2320

    2420

    25

    FY 21 Customer Meeting 20

    2020

    2120

    2220

    2320

    2420

    2520

    2620

    27

    In PRS but not Rate In PRS & Rate

    Sheet1

    Prior to WAPA-190202020212022202320242025

    WAPA-190 Ratesetting202020212022202320242025

    FY 21 Customer Meeting 20202021202220232024202520262027

    In PRS but not RateIn PRS & Rate

  • Subject, Office or event

    GTMax SuperLite Model

    4Estimating CRSP Purchase Power - June 3, 2020

  • Subject, Office or event

    GTMax SuperLite• Modified version of original GTMax Model

    • Stand alone program no longer required• Uses same mathematical formulation • Allows for multiple scenario analysis over multiple years• Can be ran using multi-thread approach• Provides hourly, daily, and monthly results

    • Optimizes hydropower operations• Optimized to load or economics • Considers all user inputted constraints/requirements • Preschedule• AHP energy and capacity• Ancillary services

    • Two formulations• Flaming Gorge• Other CRSP units

    5Estimating CRSP Purchase Power - June 3, 2020

  • Subject, Office or event

    Model Verification

    6

    • Used observed hydrologic data for WYs 2009 – 2016

    • Compared model predicted generation to observed generation (PO&M 59)

    • Did not include observed outages

    Estimating CRSP Purchase Power - June 3, 2020

    Water Year

    Modelled Generation (MWh)

    Observed Generation (MWh % Difference

    2009 4,799,959 4,711,766 1.9%

    2010 4,655,393 4,575,425 1.7%

    2011 6,925,842 6,855,827 1.0%

    2012 5,345,123 5,219,578 2.4%

    2013 4,109,416 4,003,033 2.7%

    2014 3,923,947 3,873,198 1.3%

    2016 4,996,324 5,011,928 -0.3%

    Total 34,756,005 34,250,756 1.5%

  • Subject, Office or event

    Important inputs and assumptions

    7Estimating CRSP Purchase Power - June 3, 2020

    • Operating criteria• Water laws• Operation plans• Environmental restrictions

    • NEPA and ESA• Outages

    • Losses assumed to be 8%• 40 MW regulation and 31 MW reserve held at Glen Canyon • Load

    • Average observed customer scheduled load 2006 – 2018 for each hour of a week.

    • Project use• Energy Prices

    • Forecasted average monthly peak and off-peak prices at the Palo Verde Hub are provided by Argus Media.

    • Prices are shape to hourly values according to WECC load

  • Subject, Office or event

    • Hydrology• Reclamation provides a 24-month study every month

    • Single trace• Used for the first year purchase power projections.• Data for the second year is less reliable.

    • Reclamation provides Colorado River System Simulation (CRSS) model results

    • Used for remaining years purchase power projections.• Typically use the results from August CRSS results.• 112 traces of monthly release volume and reservoir elevation for all CRSP

    units.• Trace selection

    • Use stratified random sampling to select 40 traces for hydropower modelling.

    • Strata are based on total Glen Canyon releases over study period. • Allows for a probabilistic approach to estimating purchase power beyond

    the first year.

    8Estimating CRSP Purchase Power - June 3, 2020

    Important inputs and assumptions (cont.)

  • Subject, Office or event

    Purchase Power Modelling Methodology

    9Estimating CRSP Purchase Power - June 3, 2020

    • Hydrology • Monthly release• EOM elevation

    • Loads • Hourly SHP• Project use

    • Energy prices • Monthly on and off-peak forecasts• Shaped to hourly values using

    WECC load to scale

    GTMax SuperLite

    • Operating Criteria• Ancillary service requirements• Outages• Purchases

  • Subject, Office or event 10Estimating CRSP Purchase Power - June 3, 2020

    GTMax SuperLiteOutput

    Modelled hourly generation

    Derive hourly sales and purchases from modelled generation and load

    Extrapolate hourly purchase/sales out to daily and monthly values

    Compile results from all traces to estimate range of possible net purchase values

    Sum monthly values to determine annual net purchases/sales

  • Subject, Office or event 11Estimating CRSP Purchase Power - June 3, 2020

    How do we get to an annual estimate?• For this example, we will estimate 7-years (2020-

    2026) of purchase power.• For 2020, we used the estimate from the April 24-

    month study.• For 2021-2026, we used 40 selected CRSS traces.• To get 7-years of estimates, we needed to model 10

    additional years (2021-2030). • We get 40 annual values for each modelled year (1

    for each trace) for a total of 400 annual values (40 traces per year X 10 years).

  • Subject, Office or event

    How do we get to annual estimates? (cont.)

    • 2020 = 24-month study• use a 5-year rolling

    average• 2021 = 755• 2022 = 751• 2023 = 776• 2024 = 791• 2025 = 788• 2026 = 798

    12Estimating CRSP Purchase Power - June 3, 2020

    TraceYear 1 2 3 4 52021 828 669 963 718 7792022 563 742 933 739 6582023 531 862 751 815 7942024 927 768 979 616 5012025 564 990 716 541 9192026 997 555 978 647 6772027 839 849 943 759 8902028 734 980 644 755 10002029 836 671 931 717 5722030 976 969 504 854 667

    *Simulated data

  • Subject, Office or event

    Factors that Significantly Affect Purchase Power

    13Estimating CRSP Purchase Power - June 3, 2020

  • Subject, Office or event

    Effects of Release Volume on Purchase Power

    14Estimating CRSP Purchase Power - June 3, 2020

    -$2,000,000

    -$1,000,000

    $0

    $1,000,000

    $2,000,000

    $3,000,000

    $4,000,000

    $5,000,000

    $6,000,000

    $7,000,000

    Net

    Pur

    chas

    e Po

    wer

    Net Purchase Power at 7.48, 8.23, and 9.0 MAF Annual Release Volumes

    7.48 MAF Release 8.23 MAF Release 9.0 MAF Release

    Purc

    hase

    sSa

    les

    7.48 maf = $43.0 million8.23 maf = $33.6 million9.0 maf = $22.5 million

  • Subject, Office or event

    Effects of Elevation on Purchase Power

    15Estimating CRSP Purchase Power - June 3, 2020

    -$5,000,000

    -$4,000,000

    -$3,000,000

    -$2,000,000

    -$1,000,000

    $0

    $1,000,000

    $2,000,000

    $3,000,000

    $4,000,000

    $5,000,000

    Net Purchase Power at 9.0 maf Release using WYs 19, 85, and 91 EOM Elevations

    Water Year 19 Water Year 85 Water Year 91

    WY19 – Avg. elevation = 3,576.6 ft; Net purchase = $22.5 millionWY91 – Avg. elevation = 3,632.4 ft; net purchase = $6.9 millionWY85 – Avg. elevation = 3,687.8 ft; Net sales = $8.9 million

    Purc

    hase

    sSa

    les

  • Subject, Office or event

    WAPA -190 Purchased Power

    16Estimating CRSP Purchase Power - June 3, 2020

    WAPA-190 Ratesetting PRS

    2020

    2021

    2022

    2023

    2024

    2025

    $12,332,900 $2,961,606 $3,668,301 $3,699,322 $4,072,327 $5,733,153

    In PRS & RateIn PRS but not Rate

    Sheet1

    Prior to WAPA-190202020212022202320242025

    WAPA-190 Ratesetting202020212022202320242025

    FY 21 Customer Meeting 20202021202220232024202520262027

    In PRS but not RateIn PRS & Rate

    WAPA-190 Ratesetting PRS202020212022202320242025

    $12,332,900$2,961,606$3,668,301$3,699,322$4,072,327$5,733,153

    In PRS but not RateIn PRS & Rate

  • Subject, Office or event

    Summary

    • Forecasted releases and reservoir elevations are provided by Reclamation.

    • The first year of purchase power estimates is made using the hydrology provided in the 24-month study.

    • The remaining years are estimated using a 5-year rolling average considering a range of hydrologic conditions forecasted in CRSS.

    • Release volume and reservoir elevation both have a substantial impact on purchase power.

    17Estimating CRSP Purchase Power - June 3, 2020

  • Subject, Office or event

    Questions and Contact Info

    Jerry [email protected]

    720-962-7257

    18Estimating CRSP Purchase Power - June 3, 2020

    mailto:[email protected]

    Slide Number 1AgendaWAPA -190 ChangesGTMax SuperLite ModelGTMax SuperLiteModel VerificationImportant inputs and assumptionsImportant inputs and assumptions (cont.)Purchase Power Modelling MethodologySlide Number 10How do we get to an annual estimate?How do we get to annual estimates? (cont.)Factors that Significantly Affect Purchase PowerEffects of Release Volume on Purchase PowerEffects of Elevation on Purchase PowerWAPA -190 Purchased PowerSummaryQuestions and Contact Info