Continued growth in wind energy penetration increases the demand for operational flexibility on the grid. It is not well-understood if the price formation process in current U.S. electricity markets will appropriately reward the provision of operational flexibility. This study investigates how continued growth in wind penetration impacts conventional marginal pricing efficiency and assesses its ability to remunerate operational flexibility. It also investigates the extent to which alternative marginal pricing schemes that seek to minimize out-of-market payments enhance remuneration of flexibility. Using a custom-built model, we simulate PJM’s hourly electricity market outcomes under conventional and alternative marginal pricing schemes for three wind penetration levels. We find that the increasing demand for operational flexibility increases the frequency and magnitude of unrepresentative price events that suppress energy prices and thus the market’s ability to remunerate flexibility. We find that the alternative of convex-hull pricing, which minimizes out-of-market payments, can largely overcome these issues.
BaldickRossHelmanU.HobbsBenjamin F.O’NeillRichard P. (2005). “Design of Efficient Generation Markets.” Proceedings of the IEEE93(11): 1998–2012. https://doi.org/10.1109/JPROC.2005.857484.
2.
BothwellCynthiaHobbsBenjamin F. (2017). “Crediting Wind and Solar Renewables in Electricity Capacity Markets: The Effects of Alternative Definitions upon Market Efficiency.” The Energy Journal38(01). https://doi.org/10.5547/01956574.38.SI1.cbot.
3.
BowringJoseph (2013). “Capacity Markets in PJM.” Economics of Energy & Environmental Policy2 (2). https://doi.org/10.5547/2160-5890.2.2.3.
BublitzAndreasKelesDoganFichtnerWolf (2017). “An Analysis of the Decline of Electricity Spot Prices in Europe: Who Is to Blame?” Energy Policy107(August): 323–36. https://doi.org/10.1016/J.ENPOL.2017.04.034.
6.
CAISO (2013). “ISO Declares FERC-Ordered Settlement with JPMorgan Vindication for California Ratepayers.” Https://Www.Caiso.Com/Documents/ISODeclaresFERC-OrderedSettlement_JPMorganVindication_CaliforniaRatepayers.Pdf, July.
7.
ChangJudyGeronimoMarikoRomkaewAydinYingxiaBroehmSweetYang Richard (2018). “Shortage Pricing in North American Wholesale Electricity Markets.” https://www.aeso.ca/assets/Uploads/4.3-Brattle-Paper-Shortage-Pricing.pdf.
8.
ChaoHung-po (2019). “Incentives for Efficient Pricing Mechanism in Markets with Non-Convexities.” Journal of Regulatory Economics, June. https://doi.org/10.1007/s11149-019-09385-w.
9.
CoutuRonWhiteMathew (2014a). “Real-Time Price Formation: Technical Session 1.” ISO New England, https://www.iso-ne.com/static-assets/documents/2014/08/price_information_technical_session1.pdf.
10.
CoutuRonWhiteMatthew (2014b). “Real-Time Price Formation: Technical Session 3.” ISO New England, https://www.iso-ne.com/static-assets/documents/support/training/courses/energy_mkt_ancil_serv_top/price_information_tech-nical_session3.pdf.
11.
Damci-KurtPelinKü£üҫkyavzSimgeRajanDeepakAtamturkAlper (2016). “A Polyhedral Study of Production Ramping.” Mathematical Programming158(1): 175–205. https://doi.org/10.1007/s10107-015-0919-9.
12.
DaraeepourAliPatino-EcheverriDaliaConejoAntonio J. (2019). “Economic and Environmental Implications of Different Approaches to Hedge against Wind Production Uncertainty in Two-Settlement Electricity Markets: A PJM Case Study.” Energy Economics80 (May): 336–54. https://doi.org/10.1016/j.eneco.2019.01.015.
13.
EldridgeBrentO’NeillRichardHobbsBenjamin F. (2019). “Near-Optimal Scheduling in Day-Ahead Markets: Pricing Models and Payment Redistribution Bounds.” IEEE Transactions on Power Systems, 1–1. https://doi.org/10.1109/TPWRS.2019.2947400.
14.
EPA (2019a). “Documentation for National Electric Energy Data System (NEEDS) v.5.13,” 2019.
FERC (2014). “Price Formation in Organized Wholesale Electricity Markets.” Federal Energy Regulatory Comission (FERC), Docket No. AD14-14-000.
17.
FERC (2016). “NOPR: Fast-Start Pricing in Markets Operated by Regional Transmission Organizations and Independent System Operators.” Federal Energy Regulatory Comission (FERC), Docket No. RM17-3-000.
18.
GarcesLina P.ConejoAntonio J. (2010). “Weekly Self-Scheduling, Forward Contracting, and Offering Strategy for a Producer.” IEEE Transactions on Power Systems25(2): 657–66. https://doi.org/10.1109/TPWRS.2009.2032658.
19.
GentileC.Morales-EspañaG.RamosA. (2017). “A Tight MIP Formulation of the Unit Commitment Problem with Start-up and Shut-down Constraints.” EURO Journal on Computational Optimization5 (1): 177–201. https://doi.org/10.1007/s13675-016-0066-y.
20.
GribikPaul RHoganWilliam WPopeSusan L (2007). “Market-Clearing Electricity Prices and Energy Uplift.” Https://Hepg.Hks.Harvard.Edu/Files/Hepg/Files/Gribik_hogan_pope_price_uplift_123107.Pdf, 46.
21.
HaratykGeoffrey (2017). “Early Nuclear Retirements in Deregulated U.S. Markets: Causes, Implications and Policy Options.” Energy Policy110(November): 150–66. https://doi.org/10.1016/J.ENPOL.2017.08.023.
22.
HarveyScott (2014). “Is the California ISO Becoming an Uplift Market? Pricing, Uplift and Commitment.” Prepared by FTI Consulting for California Market Surveillance Committee, http://www.caiso.com/Documents/BriefingISO_MarketPric-ing-MSCPresentation-May19_2014.pdf.
23.
HelmanUdiHobbsBenjamin F.O’NeillRichard P. (2008). “The Design of US Wholesale Energy and Ancillary Service Auction Markets: Theory and Practice.” Chapter 5 in Competitive Electricity Markets, edited by SioshansiFereidoon P, 179–243. Elsevier Global Energy Policy and Economics Series. Oxford: Elsevier. https://doi.org/10.1016/B978-008047172-3.50009-X.
24.
HerreroIgnacioRodillaPabloBatlleCarlos (2015). “Electricity Market-Clearing Prices and Investment Incentives: The Role of Pricing Rules.” Energy Economics47(January): 42–51. https://doi.org/10.1016/j.eneco.2014.10.024.
25.
HuaBowenBaldickRoss (2017). “A Convex Primal Formulation for Convex Hull Pricing.” IEEE Transactions on Power Systems32(5). https://doi.org/10.1109/TPWRS.2016.2637718.
26.
JenkinsJesse D (2018). “What’s Killing Nuclear Power in US Electricity Markets? Drivers of Wholesale Price Declines at Nuclear Generators in the PJM Interconnection Working Paper Series.” http://ceepr.mit.edu/files/papers/2018-001.pdf.
27.
KuangXiaolongLamadridAlberto J.ZuluagaLuis F. (2019). “Pricing in Non-Convex Markets with Quadratic Deliver-ability Costs.” Energy Economics80(May): 123–31. https://doi.org/10.1016/j.eneco.2018.12.022.
28.
KumarNikhilBesunerPhilip MLeftonSteven AAganDwight DHillemanDouglas DLewDebra (2012). “Power Plant Cycling Costs.” National Renewable Energy Lab (NREL). http://wind.nrel.gov/public/wwis/aptechfinalv2.pdf.
29.
LiberopoulosGeorgeAndrianesisPanagiotis (2016). “Critical Review of Pricing Schemes in Markets with Non-Convex Costs.” Operations Research64(1): 17–31. https://doi.org/10.1287/opre.2015.1451.
30.
MaysJacobMortonDavidO’NeillRichard P. (2018). “Investment Effects of Pricing Schemes for Non-Convex Markets.” SSRN Scholarly Paper ID 3198423. Rochester, NY: Social Science Research Network. https://doi.org/10.2139/ssrn.3198423.
31.
MilliganMichaelFrewBethanyZhouEllaArentDouglas J (2015). “Advancing System Flexibility for High Penetration Renewable Integration.” National Renewable Energy Lab, NREL/TP-6A20-64864, https://www.nrel.gov/docs/fy16o-sti/64864.pdf.
32.
O’NeillRichard (2009). “Nonconvex Electricity Market Design.” In 2009 IEEE Power Energy Society General Meeting, 1-7. https://doi.org/10.1109/PES.2009.5275398.
33.
OstrowskiJamesAnjosMiguel F.VannelliAnthony (2012). “Tight Mixed Integer Linear Programming Formulations for the Unit Commitment Problem.” IEEE Transactions on Power Systems27(1): 39–46. https://doi.org/10.1109/TP-WRS.2011.2162008.
34.
PanKaiGuanYongpei (2015). “A Polyhedral Study of the Integrated Minimum-Up/-Down Time and Ramping Polytope.” University of Florida, Technical Report., 67.
35.
PapavasiliouAnthonyHeYiSvobodaAlva (2015). “Self-Commitment of Combined Cycle Units Under Electricity Price Uncertainty.” IEEE Transactions on Power Systems30(4): 1690–1701. https://doi.org/10.1109/TPWRS.2014.2354832.
36.
PapavasiliouAnthonySmeersYves (2017). “Remuneration of Flexibility Using Operating Reserve Demand Curves: A Case Study of Belgium.” The Energy Journal38(01). https://doi.org/10.5547/01956574.38.6.apap.
37.
PJM (2016). “Resource Investment in Competitive Electricity Markets.” PJM Interconnection.
38.
PJM (2017). “Proposed Enhancements to Energy Price Formation.” PJM Interconnection.
39.
RajanDeepakTakritiSamer2005. “Minimum up/down Polytopes of the Unit Commitment Problem with Start-up Costs.” Research Report RC23628, IBM. URL Http://Domino.Research.Ibm.Com/Library/Cyberdig.Nsf/1e4115aea-78b6e7c85256b360066f0d4/Cdcb02a7c809d89e8525702300502ac0?OpenDocument, 15.
40.
RingBrendan JHoganWilliam W. (2003). “On Minimum Uplift Pricing For Electricity Markets.” Harvard Electricity Policy Group, https://sites.hks.harvard.edu/fs/whogan/minuplift_031903.pdf.
41.
SioshansiRamteenO’NeillRichardOrenShmuel S. (2008). “Economic Consequences of Alternative Solution Methods for Centralized Unit Commitment in Day-Ahead Electricity Markets.” IEEE Transactions on Power Systems23(2). https://doi.org/10.1109/TPWRS.2008.919246.
42.
US Energy Information Agency (2019). “Electricity Data Browser,” 2019. http://www.eia.gov/electricity/data/browser/.
43.
WangCongcongPengTengshunLuhPeter B.GribikPaulZhangLi (2013). “The Subgradient Simplex Cutting Plane Method for Extended Locational Marginal Prices.” IEEE Transactions on Power Systems28(3): 2758–67. https://doi.org/10.1109/TPWRS.2013.2243173.
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