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HomeMy WebLinkAbout20170411Volume I & II IRP Amendment.pdfY ROCKY MOUNTAIN POWER . ,..1 .r I t 'i, t^. a1:.;..,, 11 i.,tr:_u 1407 North Temple, Suite 310 Salt Lake City, Utah 8a116 April I1,2017 VA OVERNIGHT DELII/ERY Idaho Public Utilities Commission 472West Washington Boise,lD 83702 Attention: Diane Hanian Commission Secretary RE: PAC-E-17-03 - PACIFICORP'S APPLICATION FOR ACKNOWLEDGEMENT OF THE 2OlT INTEGRATED RESOURCE PLAI\ Dear Ms. Hanian: Please find enclosed a copy of the data discs containing non-confidential and confidential work papers for the 2017 IRP. In an effort to improve transparency PacifiCorp is supplementing its IRP filing with these discs to support and provide additional details for the analysis described within the2017IRP. Confidential information inthe20lT IRP will be provided to any party who has signed a non-disclosure agreement in this Case. PacifiCorp requests that interested parties contact the state manager at the number listed below for a copy of the non-disclosure agreement that must be executed and submitted prior to obtaining a copy of the confidential information. The Company also identified clarifuing changes and one value correction in the 2017 tRP, Volume II - Appendices. Enclosed as a supplement to the 2017 tRP is an original and seven (7) copies of the updated pages summarized in the table below. Note these changes do not affect the preferred portfolio selection or outcome of the 2017 IRP. The Company has also revised Volume II of the 2017 IRP available online at www.pacificom.com/irp to reflect the updated pages. PaciliCorp 2017 IRP Volume II Reference Update Page Appendix D Replaced Table D.2 (outreach and communication activities)66 Appendix H Clarified volatility formula and description 144 Appendix K Corrected RE-lc PVRR in Table K.2 179 Corrected labels in Table K4 (label "FS-lc" corrected to "FS- Rlc"; label UFS-2, corrected to "FS-R2")180 Added missing portfolio FS-R2 224 Appendix L Replaced Table L.4 (was a duplicate of Table L.l)227 Idaho Public Utilities Commission April I1,2017 Page2 PacifiCorp 2017 IRP Volume II Reference Update Page Appendix M Corrected PVRR value in Quick Reference Guide for RE-lc 264 Corrected Case Fact Sheet PVRR value for RE-lc 284 Replaced CO2 emissions chart with CO2 price chart for CO2 sensitivity 298 Labeled blank line in Portfolio Summary Table with "Gateway Transmission" for GWI and GW3 301 & 303 Appendix N Replaced "error not found" in text to reference Table N.1 313 Replaced Table N.l (removed extra decimal place for 2017 IRP single-axis tracking result)316 Informal inquiries may be directed to Ted Weston, Idaho Regulatory Manager, at (801) 220-2963 Sincerely, J K. Larsen Vice President, Regulation Enclosures cc Jim Yost, Idaho Govemor's Offrce (without enclosures) Benjamin Otto, Idaho Conservation League (without enclosures) Mark Stokes, Idaho Power Company (without enclosures) Terri Carlock,Idaho Public Utilities Commission staff Maff Elam,Idaho Public Utilities Commission staff Mike Louis, ldaho Public Utilities Commission staff Randall Budge, (Monsanto) (without enclosures) Nancy Kelly, Western Resource Advocates (without enclosures) Dina Dubson Kelly, Renewable Northwest (without enclosures) PACIFICORP_20I7IRP APPENDIX D _ DEMAND-SIDE MANAGEMENT RESOURCES currently subject to seasonal or year-round inverted block rate plans. Savings associated with these resources are captured within the Company's load forecast and are thus captured in the integrated resource planning framework. PacifiCorp continues to evaluate Class 3 DSM programs for applicability to long-terrn resource planning. Educating customers regarding energy efficiency and load management opportunities is an important component of the Company's long-term resource acquisition plan. A variety of channels are used to educate customers including television, radio, newspapers, bill inserts and messages, newsletters, school education programs, and personal contact. Load reductions due to Class 4 DSM activity will show up in Class 1 and Class 2 DSM program results and non-program reductions in the load forecast over time. Table D.2 provides an overview of DSM related wattsmaft Outreach and Communication activities (Class 4 DSM activities) by state. Table D.2 - Current wattsmart Outreach and Communications Activities Advertising Sponsonhips Social Media Public Relations Business Advocacy (awards at custonrr nretings, sponsorships, chanter partnenh[, univenity partnership) Wattsnurt Wor*shops Bewattsnnrt, Begin at HorE - in school energy education '{.l .l .l .l .l .l .l .l .l .l .l .l .l .{.J .l .l '{.J .J .l .l .l .l .J .l 66 PACTICORP_2017IRP APPENDX H- STOCHASTIC PARAMETERS Long-term planning demands specification of how important variables behave over time. For the case of PacifiCorp's long-term planning, important variables include natural gas and electricity prices, regional loads, and regional hydro generation. Modeling these variables involves not only a description of their expected value over time as with a traditional forecast, but also a description of the spread of possible future values. The following sections summarize the development of stochastic process parameters to describe how these uncertain variables evolve over time2. The standard deviation3(o) is a measure of how widely values are dispersed from the average value: (xi - tt)' (n-1) Volatility incorporates a time component so a variable with constant volatility has a larger spread of possible outcomes two years in the future than one year in the future (o7): or=ofr Volatilities are typically quoted on an annual basis but can be specified for any desired time period (T). Suppose the annual volatility of load is two percent. This implies that the standard deviation of the range of possible loads a year from now is two percent, while the standard deviation four years from now is four percent. If volatility were constant over the forecast period, then the standard deviation would increase linearly with the square root of time. This is described as a "Random Walk" process and often provides a reasonable assumption for long-term uncertainty. However, for energy commodities as well as many other variables in the short-term, this is not tpically the case. Excepting seasonal effects, the standard deviation increases less quickly with longer forecast time. This is called a mean reverting process - variable outcomes tend to revert back towards a long-term mean after experiencing a shock: 2 A stochastic or random process is the counterpart to a deterministic process. Instead ofdealing with only one possible reality of how the variables might evolve over time, there is some indeterminacy in the future evolution described by probability distributions. 3 'standard Deviation" and "Variance" are standard statistical terms describing the spread of possible outcomes. The Variance equals the Standard Deviation squared. o 144 PACFICORP_ 2017 IRP APPENDX K - DETAtr, CAPACITY EXPANSION RESULTS AppBNDrx K - CepeclTy ExpeNsIoN Rpstnrs Dprelr This section provides the System Optimizer portfolio build tables for each of the case scenarios as described in the portfolio development section of Chapter 7. There axe seven Regional Haze cases, eleven core cases, twenty sensitivity cases, and four final cases. Table K.l-Haze Reference Guide Table lL2 - Core Case Reference Guide Ref Reference Case Base Base Mass Cap B Base None 2032 $24219 RH.I Regional Haze I Base Base Mass Cap B Bas€None 2030 $23,1s9 $23A82RH-2 Regional Haze 2 Base Base Mass CapB Base None 2029 Base Base Mass Cap B Base None 2029 $23,398RH-3 Regional Haze 3 Base Base Mass Cap B Base None 2030 s21,663RH-4 Regional Haze 4 RH.5 Regional Haze 5 Base Base Mass Cap B Base None 2029 s23,177 RH.6 Reeional Haze 6 Base Base Mass Cap B Base None 2028 $23,986 oP-1 RH5 Base Base Mass Cap B Base None 2029 $23,r7',1Optimized Portfolio OP.NT3 oP-l Base Base Mass Cap B Base None 2029 $23,0s2Optimized Naughton 3 OP.REP Wind Repower OP-NT3 Base Base Mass Cap B Base None 2029 $22,984 $23,123oP-GW4 Energy Gateway + Reoower OP-REP Base Base Mass Cap B Base Segrnent D2 2029 OP-NT3 Base Base Mass Cap B Base None 202r $23,585FR.1 Flexible Resource FR-2 OP.NT3 Base Base Mass Cap B Base None 2021 $24,319Flexible Resource RE-la ORRPS Just in Time OP-NT3 Base Base Mass Cap B Base None 2029 $23,082 RE.Ib WARPS JustinTime OP-NT3 Base Base Mass Cap B Base None 2029 $23,091 RE-lc OR&WARPS Just in Time OP-NT3 Base Base Mass Cap B Base None 2029 $23,1 r0 RE-2 OR RPS Early OP-NT3 Base Base Mass Cap B Base None 2029 $23,098 Base Base Mass Cap B Base None 2030 $23,103DLCIDirect Load Control OP.NT3 t79 PACIFICORP-2OI7IRP APPENDX K _ DETAI. CAPACITY EXPANSION RESULTS Table K.3 -Case Reference Guide Table K.4 - Final Case Reference Guide Base Mass Cap B , Base None 2029 $23,404R[I2a Regional Haze oP-l Base I in20 Base Mass Cap B Base None 2029 $23.364LD-I I in 20 loads oP-l LD.2 oP-l Low Base Mass Cap B Base None 2030 $21,s67LowLoad LD.3 High Load oP-l Hich Bas€Mass Cap B Base None 2028 $24,8 1 8 Low $23,304PG-I LowPrivate Gen oP-1 Base Mass Cap B Base None 2029 Base Hish Mass Cap B Base None 2030 $22,899PG.2 High Private Gen oP-1 CPP-C CPP Mass Cap C oP-1 Base Base Mass Cap C Base None 2029 $23268 CPP-D CPP Mass Cap D oP-1 Base Base Mass Cap D Base None 2029 $23,102 FOT-I Limited FOT oP-l Base Base Mass Cap B Resticted None 2029 $23,347 co2-l COz Price oP-1 Base Base Tor, No CPP Base None 2010 $26,401 NO-CO2 OP.NT3 Base Base No Tax, No CPP Base None 2028 $22,891No COz BP Business Plan OP.NT3 Base Base Mass Cap D Base None 2030 $23,198 GWI Gateway 1 OP.NT3 Base Base Mass Cap B Base Segment D 2029 $23,s93 GW2 Gateway 2 OP.NT3 Base Base Mass Cap B Base Segrnent F 2029 $24,054 Base Base Mass Cap B Base Sesnent D&F 2029 $24,627GW3Gateway 3 OP.NT3 GW4 OP.NT3 Base Base Mass Cap B Base Segment D2 2029 $23,159Gateway 4 Battery Battery Storage FS.GW4 Base Base Mass Cap B Base Segment D2 2029 $23,162 CAES CAES Storage FS.GW4 Base Base Mass Cap B Base Segment D2 2029 $23,121 wcA WCA FS.REP Base Base Mass Cap B Base None 3033 $7,542 Base Base Mass Cap B Base None 3033 $7,ss7WCA.RPS WCARPS FS-REP FS.REP OP-NT3 Base Base Mass Cap B Base Segment D2 2029 s21,042Wind Repower FS.GW4 FS-REP Base Base Mass Cap B Base Segrnent D2 2029 $n,990Gateway 4 FS-Rlc OR& WARPS Just in Time FS-GW4 Base Base Mass Cap B Base Segment D2 2029 $23,006 FS.R2 FS-GW4 Base Base Mass Cap B Base Segment D2 2029 $22,995OR RPS Early 180 +c.lc.l 3 s e d Hl F g Uo E! e 6 5 3 6 c E ',? > 6 5 6 B N&aE aF-lDU)g z cnz Xt! F O QJ FE] ! I M X azE] e t 5 i e c : 'I e I e .eE E E I Ail F- N I & Q () PACIFICORP - 20I7 IRP APPENDIX L - STOCHASTIC SIMULATION RESULTS Table L.4 - Stochastic Mean PVRR by Price Scenario, Final Screening Cases Table L.5 - Stochastic Risk Results, Regional Haze Cases - Low Gas, MC A Table L.6 - Stochastic Risk Results, Regional Haze Cases - Medium Gas, MC A PVRR($m)Low Gas, MCA Med Gas, MCA High Gas, MCA Low Gas, MCB Med Gas, MCB Iligh Gas, MCB FS-REP 22,74t 23,372 25,616 22,705 23,353 25,629 FS-GW4 22,821 23,355 25,t41 22,785 23,331 25,151 FS-R1c 22,848 23,36s 25,095 22,813 23,342 25,109 FS-R2 22,821 23,348 25,098 22,787 23,324 25,109 PYRR($m) Low Gas, MC A Standard Deviation Sth percentile 90th percentile 95th percentile Upper TaiI (mean of 3 Highest) No Fixed Costs Ret 123 23,818 24,097 24,272 15,464 RH-I 118 22,688 22,959 23,134 15,584 RH-2 128 22,771 23,052 )7 ))\15,638 RH-3 119 22,809 23,107 23,244 15,646 RH.4 121 23,199 23,467 23,629 15,598 RH-5 119 22,614 22,882 23,051 1 5,68 1 RH-6 123 23,460 23,738 23,902 t5,659 PVRR($m) Medium Ges, MC A Standard Deviation 5th percentile 90th percentile 95th percentile Upper Tail (mean of 3 Highest) No Fixed Costs Ref,138 24,375 24,682 24,869 16,086 RH.I 134 23,282 23,606 23,770 16,246 RH.2 145 23,482 23,804 23,987 16,421 RH-3 135 23,444 23,75t )1 0))16,335 RH-4 136 23,784 24,086 24,262 16,253 RH-5 136 23,272 23,596 23,758 16,412 RH-6 140 24,119 24,425 24,605 16,386 227 Case Fact Sheets - Overview Resional Haze Case Fact Sheets The following Regional Haze Case Fact Sheets summarize key assumptions and portfolio results for each portfolio being developed for the 2017 IRP. All cases produce resource potfolios capable of meeting state renewable portfolio standard requirements. Similarly, in addition to the Regional Haze compliance requirements specified for each case, all cases include costs to meet known and assumed compliance obligations for Mercury and Air Toxics (MATS), coal combustion residuals (CCR) under subtitle D of the Resource Conservation and Recovery Act @CRA), cooling water intake structures under 53160) of the Clean Water Act, and effluent guidelines. Ouich Reference Guide Core Case Fact Sheets The following Core Case Fact Sheets summarize key assumptions and portfolio results for each portfolio being developed for the 2017 IRP. All cases produce resource portfolios capable of meeting state renewable portfolio standard requirements. As with the regionallnze cases, all core cases comply with the environmental obligations. Ouick Reference Guide Sensitivitv Fact Sheets The following Sensitivity Fact Sheets summarize key assumptions and portfolio results for each sensitivity being developed for the 2017 IRP. All sensitivities produce resource portfolios capable of meeting state -264-Case Overview Base Base $24219Ref.Reference Case Mass Cap B Base None 2032 $24,1s6 RH-I Base Base Mass Cap B Base None 2030 $23,066 $23,1s9Regional Haze I RH-2 Reeional Haze 2 Base Base Mass Cap B Base None 2029 $23,313 $23A82 Base Base Mass Cap B $23.398RH-3 Regional tlaze 3 Base None 2029 $23,315 RH-4 Base Base Mass Cap B Base None 2030 $23,582 $23563Regional Haze 4 RH.5 Base Base Mass Cap B Base None 2029 $23,081 I23,177Regional Haze 5 RH-6 Regional Haze 6 Base Base Mass Cap B Base None 2028 $23,89r $23,986 Base Base Mass Cap B Base None 2029 $23.177oP-l Optimized Portfolio RH5 $23,08 l OP.NT3 oP-l Base Base Mass Cap B Base None 2029 s22,9t3 $239s2Optimized Naughton 3 OP-REP Wind Repower OP-NT3 Base Base Mass Cap B Base None 2029 $22,890 $22,984 oP-GW4 Energy Gateway + Reoower OP-REP Base Base Mass Cap B Base Segment D2 2029 $22,612 $23,123 Base Base Mass Cap B $23.585FR.I Flexible Resource OP-NT3 Base None 202t $23,463 FR.2 OP-NT3 Base Base Mass Cap B Base None 202t $24,136 $24,319Flexible Resource RE-la ORRPS JustinTime OP.NT3 Base Base Mass Cap B Base None 2029 $22,94s $23,082 RE-Ib rffA RPS Just in Time OP.NT3 Base Base Mass Cap B Base None 2029 $22,962 $23,091 RE-lc OR& WARPS Just in Time OP-NT3 Base Base Mass Cap B Base None 2029 $22,972 $23,r r0 Base Base Mass Cap B Base None 2029 $22,967 $23,098RE.2 OR RPS Early OP-NT3 Drc.I Direct load Control OP-NT3 Base Base Mass Cap B Base None 2030 $22,942 $23,103 Case: OR & WA RPS Just in Time (RE-lc) Clsn Descriotion Case RE-lc retains endogenous renewables from core case I (OP-l) and includes additional renewables added to physically comply with Oregon and Washington RPS. Additions are made beginning the first year in which there is a projected compliance shorrfall (iust-in-time compliance). This case is a variant of core case OP-NT3. Ponrror,Io SUMMARY Resource Portfolio Cumulative changes to the resource portfolio (new resource additions and resource retirements), represented as nameplate capaclty, are summarized in the figure below. System Cost without Transmission Upgrades $22,972 Transmission Integration $126 Transmission Reinforcement $12 Total Cost $23,1 l0 Cumulative Nameplate Capacity r-qaid6$h€r€60iN6=h9 -iTdNNNNNNNNN666MOOOooooooooooooooooooooNNNNNdNdNNdddNNNNNNN FOTs rGm Gas Convesion , Other End of Life Retirement lll0 9 8 7 6 5 4 3 2 I (l) (2) (3) (4) rDSM r Renewable tEarly Retirement ' I I I -284 -Core Case: OR & WA RPS Just in Time 1RE-lc) Sensitivity: COz Price, No CPP (CO2-1) C.q.sr Assulvrprroxs Descfiotion The COz Price sensitivity_examines the impact of replacing the Clean Power Plan (cunently stayed by the U.S. Supreme Court) with an COz proxy price beginning inthe year 2025, based on the assumption that even if the CPP is not in eflect, there will be some carbon-based policy in place by this time. CO2 prices applied to each ton of COz emissions from new and existing resources, beginning in2025 at $4.75lton and reaching $38.02lton by 2036. This sensitivity is a variant of core case OP-1. COz Emission Price COz emission prices beginningin2D25 used in the COz Price sensitivity are shown in the figure below. Ponrror,ro SUMMARY Resource Poilfolio Cumulative changes to the resource portfolio (new resource additions and resource retirements), represented as nameplate capacity, are summarized in the figure below. Nominal CO2 Price r66O:dothgr€6OiNo+hgH-*NNNNNdNddN6oooo6o NNNNNNNdNNNNNNNNNNNN $40 $3s $30 $2s $20 $15 $10 $5 $0 > System Cost without Transmission Upsrades $26.222 Transmission Inteeration $166 Transmission Reinforcement $12 $26.401Total Cost Cumulrtive Nrmephte Crprcity rAAA-Not6€rAqA-No{hp -iTNNNdNNNNdNOOOO6OOooooooooaoooooaaooaoNNNNNNNNNNNdddNNNddN rFOTs lcas lGas Conversion , Otherr End of Life Retirement ll l0 9 8 7 6 5 4 3 2 I (1) (2) (3) (4) rDSM rRenewable rEarly Retirement -298 -Sensitivity: CO2 Price, No CPP (CO2-l) Sensitivity: Energy Gateway 1 (GWl) Transmission Transmission path is shown in the map below Clsn Assuvrprroxs Descriotion Sensitivity GWI includes segment D - Windstar to Anticline (assumed in-service 2022). h addition to the 300 MW of Wyoming wind in case OP-NT3, the additional transmission enables 440 MW of Wyoming wind additions. This sensitivity is a variant of core case OP-NT3. Ponrror,ro SUMMARY Resource Portfolio Cumulative changes to the resource portfolio (new resource additions and resource retirements), represented as nameplate capaclty, are summarized in the figure below. System Cost without Transmission Upsrades $22,803 $ 125Transmission Integration $12Transmission Reinforcement $6s2Gateway Transmission $23.593Total Cost Whab.{c&.lN}a0 tv (F!sld,Wh{5.r - Aaotra0w A&ts. kldedAiitcikt50 kv Cumulative Nameplate Capacity rOqQ-No+hQr€qArNOth€ ---NNNNNNNNNd6O66666oooaooaooooaooooooooNNNNdNdNNNNdddNNNNNN rFOTs rGm r Gas Conversion { Other s End of Life Retirement 1t 10 9 8 7 6 5 4 3 2 I (1) (2) (3) (4) !DSM lRenewablerEuly Retirement 'I -301-Sensitivity: Energy Gateway I (GWl) Sensitivity: Energy Gateway 3 (GW3) Transmission Transmission path is shown in the map below Clsr AssumrrroNs Descriotion Sensitivity GW3 includes segments D & F - Windstar to Anticline and Aeolus to Mona/Clover (assumed in-service 2022 and 2023, respectively). In addition to the 300 MW of Wyoming wind in case OP-NT3, the additional transmission enables 1,200 MW of Wyoming wind additions. This sensitivity is a variant of core case OP-NT3. Ponrror.ro Suuulny Resource Pofifolto Cumulative changes to the resource portfolio (new resource additions and resource retirements), represented as nameplate capacity, are summarized in the figure below. .^&lrti, r*.ssesw drd nHil.ttqb&lY ffi"F:".- $22.706Svstem Cost without Transmission Upgrades $96Transmission Inteeration $12Transmission Reinforcement $ 1.8 13Gatewav Transmission $24.627Total Cost Cumulrtive Nrmeplate Crpicity r-60FN6<h9r€60rd6+h9ii=-NNNNNNNNN6666---ooodddo6aooaoooaooooti| 6t 6l N N 6t 61 6t 6l d N N N N d N N N d N rFOTs !G6lGaConversion -Other r End of Life Retirement ll l0 9 8 7 6 5 4 3 2 I (l) (2) (3) (4) IDSM r Renewabler Erly Retirement ' 303 Sensitivity: Energy Gateway 3 (GW3) PACFICORP_20I7IRP APPENDX N - WIND AND SOLAR CAPACITY CoNTRtsUnON STI.]DY ApppNDIx N _ Wmp AND SOrAn CEpECITY CoNrnrBUTroN Sruov The capacity contribution ofwind and solar resources, represented as a percentage of resource capacity, is a measure of the ability for these resources to reliably meet demand. For purposes of this report, PacifiCorp defines the peak capacity contribution of wind and solar resources as the availability among hours with the highest loss of load probability (LOLP). PacifiCorp calculated peak capacity contribution values for wind and solar resources using the capacity factor approximation method (CF Method) as outlined in a 2012 report produced by the National Renewable Energy Laboratory NREL Report)1. The capacity contribution of wind and solar resources affects PacifiCorp's resource planning activities. PacifiCorp conducts its resource planning to ensure there is sufficient capacity on its system to meet its load obligation at the time of system coincident peak inclusive of a planning reserve margin. To ensure resource adequacy is maintained over time, all resource portfolios evaluated in the integrated resource plan (IRP) have sufficient capacity to meet PacifiCorp's net coincident peak load obligation inclusive of a planning reserve margin throughout a Z0-year planning horizon. Consequently, planning for the coincident peak drives the amount and timing of new resources, while resource cost and performance metrics among a wide range of different resource alternatives drive the types of resources that can be chosen to minimize portfolio costs and risks. PacifiCorp derives its planning reserve margin from a LOLP study. The study evaluates the relationship between reliability across all hours in a given year, accounting for variability and uncertainty in load and generation resources, and the cost of planning for system resources at varying levels of planning reserve margin. In this way, PacifiCorp's planning reserve margin LOLP study is the mechanism used to transform hourly reliability metrics into a resource adequacy target at the time of system coincident peak. This same LOLP study was utilized for calculating the peak capacity contribution using the CF Method. Table N.l, summarizes the peak capacity contribution results for PacifiCorp's East and West balancing authority areas (BAAs). The CF Method ignores transmission constraints that can prevent resource output in a location from reaching an area location where loss of load events occur. If transmission constraints prevent resources from reaching areas with loss of load events, additional capacity in those areas may not provide an adequate planning reserve margin or contribute to reliability. At the January 26-27, 2017 public input meeting PacifiCorp identified the potential for transmission constraints to impact the effective capacity contribution from resources in Wyoming Northeast, Oregon, and Utah South.2 I Madaeni, S. H.; Sioshansi, R.; and Denholm, P. "Comparison of Capacity Value Methods for Photovoltaics in the Western United States." NREL/TP-6A20-54704, Denver, CO: National Renewable Energy Laboratory, July 2012 (NREL Report). http://www.nrel.gov/docs/& I 2osti/54704.pdf 2 20 I 7 IRP: Public Input Meeting 7. January 26-27 , 2017 . Presentation available at htto://www.pacificom.com/contenUdam/Bacificom/doc/Enerey-Sources/Inteerated-Resource-Plar/2017 IRP/Pacifi Com 2017 IRP PIM07 l-26-17-Presentation.pdf 313 PACFICORP-20I7IRP APPENDD( N - CAPACnY CoNTRIBUTIoN Sruoy 37.9o/o 59.7o/o ll.8o/o 53.9o/o 64.80/o2OIT IRP Results 15.8o/o 32.2o/o 36.7o/o2OI5 IRP Results 14.5%34.1o/o 39.1o/o 25.4o/o Table N.l - Peak Capacity Contribution Values for Wind and Solar Figure N.l presents daily average LOLP results from the PaR simulation, which shows that loss of load events are most likely to occur during the summer when load peaks in July. Figure N.l- Daily LOLP Ia0C E tr 4.No/o 3.50o/o 3.00o/o 2.50% 2.00% 1.50% t.00% 0.50o/o 0.00% "-. nn*,*o *,-. o,**o ,C ^C ^C *'do ,n**" ,"C sd cd' I Figure N.2 presents the relationship between monthly capacity factors among wind and solar resources (primary y-axis) and average monthly LOLP from the PaR simulation (secondary y- axis) in PacifiCorp's CF Method analysis. As noted above, the average monthly LOLP is most prominent in summer (July peak loads). 316