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Simplifying capacity planning for electricity systems with hydroelectric and renewable generation

Author

Listed:
  • Kenjiro Yagi

    (Tokushu Tokai Paper Co., Ltd.)

  • Ramteen Sioshansi

    (Carnegie Mellon University
    Carnegie Mellon University
    Carnegie Mellon University
    The Ohio State University)

Abstract

This work investigates approaches to simplify capacity planning for electricity systems with hydroelectric and renewable generators with three specific foci. First, we examine approaches to represent the efficiency of hydroelectric units. Next, we explore the effects of water-travel times and the representation of run-of-river units within cascaded hydroelectric systems. Third, we analyze the use of representative operating periods to capture electricity-system operations. We conduct these analyses using an archetypal planning models that is applied to the Columbia River system in the northwestern United States of America. We demonstrate that planning models can be simplified significantly, which improves model tractability with little loss of fidelity.

Suggested Citation

  • Kenjiro Yagi & Ramteen Sioshansi, 2023. "Simplifying capacity planning for electricity systems with hydroelectric and renewable generation," Computational Management Science, Springer, vol. 20(1), pages 1-28, December.
    • Handle: RePEc:spr:comgts:v:20:y:2023:i:1:d:10.1007_s10287-023-00451-5
    DOI: 10.1007/s10287-023-00451-5
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    References listed on IDEAS

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    7. Boffino, Luigi & Conejo, Antonio J. & Sioshansi, Ramteen & Oggioni, Giorgia, 2019. "A two-stage stochastic optimization planning framework to decarbonize deeply electric power systems," Energy Economics, Elsevier, vol. 84(C).
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    1. Kenjiro Yagi & Ramteen Sioshansi, 2024. "Nested Benders’s decomposition of capacity-planning problems for electricity systems with hydroelectric and renewable generation," Computational Management Science, Springer, vol. 21(1), pages 1-31, June.

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