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A Flexible Ramping Capacity Model for Generation Scheduling with High Levels of Wind Energy Penetration

Author

Listed:
  • Hungyu Kwon

    (Department of Electrical and Computer Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea)

  • Jong-Keun Park

    (Department of Electrical and Computer Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea)

  • Dam Kim

    (Department of Electrical and Computer Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea)

  • Jihyun Yi

    (Department of Electrical and Computer Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea)

  • Hyeongon Park

    (Department of Statistics Institute of Engineering Research, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea)

Abstract

The penetration level of renewable generation has increased significantly in recent years, which has led to operational concerns associated with the system ramping capability. Here, we propose the flexible ramping capacity (FRC) model, which considers the practical ramping capability of generation resources as well as the uncertainty in net load. The FRC model also incorporates the demand curve of the ramping capacity, which represents the hourly economic value of the ramping capacity. The model is formulated mathematically using ramp constraints, which are incorporated into unit commitment (UC) and economic dispatch (ED) processes. Simulations are carried out using a 10-unit system to compare the FRC model with conventional methods. We show that the FRC method can improve reliability and reduce expected operating costs. The simulation results also show that, by using the FRC model, system reliability can be satisfied at high wind power generation levels while achieving economic efficiency.

Suggested Citation

  • Hungyu Kwon & Jong-Keun Park & Dam Kim & Jihyun Yi & Hyeongon Park, 2016. "A Flexible Ramping Capacity Model for Generation Scheduling with High Levels of Wind Energy Penetration," Energies, MDPI, vol. 9(12), pages 1-17, December.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:12:p:1040-:d:84928
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    Citations

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    Cited by:

    1. Jin Zhang & Liang Che & Lei Wang & Udaya K. Madawala, 2020. "Game-Theory Based V2G Coordination Strategy for Providing Ramping Flexibility in Power Systems," Energies, MDPI, vol. 13(19), pages 1-17, September.
    2. Crampes, Claude & Renault, Jérôme, 2019. "How many markets for wholesale electricity when supply ispartially flexible?," Energy Economics, Elsevier, vol. 81(C), pages 465-478.
    3. Linbo Fang & Wei Peng & Youliang Li & Zi Yang & Yi Sun & Hang Liu & Lei Xu & Lei Sun & Weikang Fang, 2024. "A Bi-Level Peak Regulation Optimization Model for Power Systems Considering Ramping Capability and Demand Response," Energies, MDPI, vol. 17(19), pages 1-17, September.

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