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Hydroelectric Operation Optimization and Unexpected Spillage Indications

Author

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  • Ramon Abritta

    (Electrical Engineering Postgraduate Program, Federal University of Juiz de Fora, 36036-900 Juiz de Fora, Brazil)

  • Frederico Panoeiro

    (Electrical Engineering Postgraduate Program, Federal University of Juiz de Fora, 36036-900 Juiz de Fora, Brazil)

  • Leonardo Honório

    (Electrical Engineering Postgraduate Program, Federal University of Juiz de Fora, 36036-900 Juiz de Fora, Brazil)

  • Ivo Silva Junior

    (Electrical Engineering Postgraduate Program, Federal University of Juiz de Fora, 36036-900 Juiz de Fora, Brazil)

  • André Marcato

    (Electrical Engineering Postgraduate Program, Federal University of Juiz de Fora, 36036-900 Juiz de Fora, Brazil)

  • Anapaula Guimarães

    (Electrical Engineering Department, Center of Superior Education of Juiz de Fora, 36021-630 Juiz de Fora, Brazil)

Abstract

It is widely known that hydroelectric power plants benefit from optimized operation schedules, since the latter prevent water and, therefore, monetary wastes, contributing to significant environmental and economic gains. The level of detail on the representation of such systems is related to how far ahead the planning horizon is extended. Aiming at the very short-term optimization of hydroelectric power plants, which usually requires the most detailed models, this paper addresses an undesired effect that, despite being already mentioned in the literature, has not been properly explored and explained yet. This effect is given by the indication of spillage by the optimizer, even when the reservoir does not reach its maximum capacity. Simulations implemented in Julia language using real power plant data expose this phenomenon. Possible ways to circumvent it are presented. Results showed that, in specific cases, spillage allows the achieving of more efficient operating points by reducing the gross head and increasing the amount of water that flows through turbines. Furthermore, it was verified that applying water outflow-based objective functions prevents undesired spillage indications, despite causing machines to operate at lower efficiency levels, compared with the utilization of power losses-based objective functions.

Suggested Citation

  • Ramon Abritta & Frederico Panoeiro & Leonardo Honório & Ivo Silva Junior & André Marcato & Anapaula Guimarães, 2020. "Hydroelectric Operation Optimization and Unexpected Spillage Indications," Energies, MDPI, vol. 13(20), pages 1-20, October.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:20:p:5368-:d:428324
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    References listed on IDEAS

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    1. Jens Weibezahn & Mario Kendziorski, 2019. "Illustrating the Benefits of Openness: A Large-Scale Spatial Economic Dispatch Model Using the Julia Language," Energies, MDPI, vol. 12(6), pages 1-21, March.
    2. Anderson Passos de Aragão & Patrícia Teixeira Leite Asano & Ricardo de Andrade Lira Rabêlo, 2020. "A Reservoir Operation Policy Using Inter-Basin Water Transfer for Maximizing Hydroelectric Benefits in Brazil," Energies, MDPI, vol. 13(10), pages 1-26, May.
    3. Fredo, Guilherme Luiz Minetto & Finardi, Erlon Cristian & de Matos, Vitor Luiz, 2019. "Assessing solution quality and computational performance in the long-term generation scheduling problem considering different hydro production function approaches," Renewable Energy, Elsevier, vol. 131(C), pages 45-54.
    4. Poncelet, Kris & Delarue, Erik & D’haeseleer, William, 2020. "Unit commitment constraints in long-term planning models: Relevance, pitfalls and the role of assumptions on flexibility," Applied Energy, Elsevier, vol. 258(C).
    5. Wentao Yang & Fushuan Wen & Ke Wang & Yuchun Huang & Md. Abdus Salam, 2018. "Modeling of a District Heating System and Optimal Heat-Power Flow," Energies, MDPI, vol. 11(4), pages 1-19, April.
    6. Yuan, Xiaohui & Yuan, Yanbin & Zhang, Yongchuan, 2002. "A hybrid chaotic genetic algorithm for short-term hydro system scheduling," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 59(4), pages 319-327.
    7. Botelho, Anabela & Ferreira, Paula & Lima, Fátima & Pinto, Lígia M. Costa & Sousa, Sara, 2017. "Assessment of the environmental impacts associated with hydropower," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 896-904.
    8. Ming, Bo & Liu, Pan & Guo, Shenglian & Cheng, Lei & Zhou, Yanlai & Gao, Shida & Li, He, 2018. "Robust hydroelectric unit commitment considering integration of large-scale photovoltaic power: A case study in China," Applied Energy, Elsevier, vol. 228(C), pages 1341-1352.
    9. Soito, João Leonardo da Silva & Freitas, Marcos Aurélio Vasconcelos, 2011. "Amazon and the expansion of hydropower in Brazil: Vulnerability, impacts and possibilities for adaptation to global climate change," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 3165-3177, August.
    10. Tarroja, Brian & AghaKouchak, Amir & Samuelsen, Scott, 2016. "Quantifying climate change impacts on hydropower generation and implications on electric grid greenhouse gas emissions and operation," Energy, Elsevier, vol. 111(C), pages 295-305.
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