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Understanding How Generation Flexibility and Renewable Energy Affect Power Market Competition

Author

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  • Majid Al-Gwaiz

    (Saudi Aramco, Dhahran 31311, Saudi Arabia)

  • Xiuli Chao

    (Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, Michigan 48109)

  • Owen Q. Wu

    (Kelley School of Business, Indiana University, Bloomington, Indiana 47405)

Abstract

We study supply function competition among conventional power generators with different levels of flexibility and the impact of intermittent renewable power generation on the competition. Inflexible generators commit production before uncertainties are realized, whereas flexible generators can adjust their production after uncertainties are realized. Both types of generators compete in an electricity market by submitting supply functions to a system operator, who solves a two-stage stochastic program to determine the production level for each generator and the corresponding market prices. We aim to gain an understanding of how conventional generators’ (in)flexibility and renewable energy’s intermittency affect the supply function competition and the market price. We find that the classic supply function equilibrium model overestimates the intensity of the market competition, and even more so when more intermittent generation is introduced into the system. The policy of economically curtailing intermittent generation intensifies the market competition, reduces price volatility, and improves the system’s overall efficiency. Furthermore, these benefits of economic curtailment are most significant when the production-based subsidies for renewable energy are absent.

Suggested Citation

  • Majid Al-Gwaiz & Xiuli Chao & Owen Q. Wu, 2017. "Understanding How Generation Flexibility and Renewable Energy Affect Power Market Competition," Manufacturing & Service Operations Management, INFORMS, vol. 19(1), pages 114-131, February.
  • Handle: RePEc:inm:ormsom:v:19:y:2017:i:1:p:114-131
    DOI: 10.1287/msom.2016.0595
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    Cited by:

    1. Randall, Natalie & Basciftci, Beste, 2025. "Risk-averse contextual predictive maintenance and operations scheduling with flexible generation under wind energy uncertainty," European Journal of Operational Research, Elsevier, vol. 327(1), pages 174-190.
    2. Nur Sunar & John R. Birge, 2019. "Strategic Commitment to a Production Schedule with Uncertain Supply and Demand: Renewable Energy in Day-Ahead Electricity Markets," Management Science, INFORMS, vol. 65(2), pages 714-734, February.
    3. Agostino Capponi & Garud Iyengar & Bo Yang & Daniel Bienstock, 2025. "Virtual Trading in Multi-Settlement Electricity Markets," Papers 2508.11979, arXiv.org.
    4. Zhang, Mengling & Jiao, Zihao & Ran, Lun & Zhang, Yuli, 2023. "Optimal energy and reserve scheduling in a renewable-dominant power system," Omega, Elsevier, vol. 118(C).
    5. Nur Sunar & Jayashankar M. Swaminathan, 2021. "Net-Metered Distributed Renewable Energy: A Peril for Utilities?," Management Science, INFORMS, vol. 67(11), pages 6716-6733, November.
    6. Alexandar Angelus, 2021. "Distributed Renewable Power Generation and Implications for Capacity Investment and Electricity Prices," Production and Operations Management, Production and Operations Management Society, vol. 30(12), pages 4614-4634, December.
    7. Sankaranarayanan, Sriram & Feijoo, Felipe & Mukherjee, Saral, 2025. "The environmental value of an owned agile power source," Energy, Elsevier, vol. 334(C).
    8. Panos Kouvelis & Hirofumi Matsuo & Yixuan Xiao & Quan Yuan, 2023. "Long‐term service agreement in electricity supply chain with renewable energy penetration," Production and Operations Management, Production and Operations Management Society, vol. 32(6), pages 1830-1845, June.
    9. Glenk, Gunther & Reichelstein, Stefan, 2022. "The economic dynamics of competing power generation sources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    10. Zhao, Zhiying & Lan, Yanfei & Xu, Shuxian & Zou, Hongyang & Du, Huibin, 2024. "Addressing the reliability challenge: Subsidy policies for promoting renewable electricity consumption," Energy Economics, Elsevier, vol. 139(C).
    11. Junhai Ma & Tiantong Xu, 2023. "Solar farm investment game model: A data‐driven case in Florida," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(6), pages 3724-3738, September.
    12. Khosroshahi, Hossein & Dimitrov, Stanko & Hejazi, Seyed Reza, 2021. "Pricing, greening, and transparency decisions considering the impact of government subsidies and CSR behavior in supply chain decisions," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    13. Nur Sunar & Jayashankar M. Swaminathan, 2022. "Socially relevant and inclusive operations management," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4379-4392, December.

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