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Long-Term Hydropower Plant Scheduling Considering Environmental and Economic Criteria

Author

Listed:
  • Tatiana Myateg

    (Department of Industrial Power Supply Systems, Novosibirsk State Technical University, 630073 Novosibirsk, Russia)

  • Sergey Mitrofanov

    (Department of Industrial Power Supply Systems, Novosibirsk State Technical University, 630073 Novosibirsk, Russia)

  • Chen Xi

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China)

  • Yuri Sekretarev

    (Department of Industrial Power Supply Systems, Novosibirsk State Technical University, 630073 Novosibirsk, Russia)

  • Murodbek Safaraliev

    (Department of Automated Electrical Systems, Ural Federal University, 620002 Yekaterinburg, Russia)

  • Roman Volosatov

    (Department of Industrial Power Supply Systems, Novosibirsk State Technical University, 630073 Novosibirsk, Russia)

  • Anna Arestova

    (Department of Automated Power Systems, Novosibirsk State Technical University, 630073 Novosibirsk, Russia)

  • Aminjon Gulakhmadov

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
    Institute of Water Problems, Hydropower, and Ecology of the National Academy of Sciences of Tajikistan, Dushanbe 734042, Tajikistan
    Department of Hydraulics and Hydro Informatics “Tashkent Institute of Irrigation and Agricultural Mechanization Engineers”, National Research University, Tashkent 60111496, Uzbekistan)

Abstract

This article is devoted to planning water-energy regimes for hydropower plants, taking into account economic and ecologic criteria. A new methodology based on a probabilistic model of water inflow has been proposed. The probabilistic method requires the calculation of low-water and average-water year typical hydrographs based on the probability curve. This allows the determination of the guaranteed hydropower plant generation schedule with a month time-step. According to the method considered, the mathematical model of the reservoir filling and normal power station operation has been designed. The software for the automated water-energy mode calculation is presented in this paper. The economic feasibility of maximum replacement of thermal power plants in the energy system with more environmentally friendly hydropower plant is substantiated. The methodology of water resources cost calculation and economic efficiency assessment under various hydropower plant regime scenarios have been proposed in the paper. Using the data and characteristics of HPPs and TPPs, an assessment of energy efficiency will be obtained in accordance with the developed methodology to determine the price of water for HPPs and all participants in the water management complex. The results of the implementation of the developed approach indicate that the price of electricity sales in a competitive electricity market can be brought into line with the price of electricity sales generated by thermal power plants, which increases the economic feasibility of the maximum replacement of thermal power plant capacity in the system with more economical and environmentally friendly hydropower plant. The developed method allows for an increase in the efficiency of water resources use and the efficiency of hydropower plant participation in the energy balance, which makes it possible to displace part of the power generated by thermal power plants.

Suggested Citation

  • Tatiana Myateg & Sergey Mitrofanov & Chen Xi & Yuri Sekretarev & Murodbek Safaraliev & Roman Volosatov & Anna Arestova & Aminjon Gulakhmadov, 2024. "Long-Term Hydropower Plant Scheduling Considering Environmental and Economic Criteria," Sustainability, MDPI, vol. 16(22), pages 1-18, November.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:22:p:10106-:d:1524621
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    References listed on IDEAS

    as
    1. Hao-Han Tsao & Yih-Guang Leu & Li-Fen Chou & Chao-Yang Tsao, 2021. "A Method of Multi-Stage Reservoir Water Level Forecasting Systems: A Case Study of Techi Hydropower in Taiwan," Energies, MDPI, vol. 14(12), pages 1-21, June.
    2. Alireza Amani & Hosein Alizadeh, 2021. "Solving Hydropower Unit Commitment Problem Using a Novel Sequential Mixed Integer Linear Programming Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(6), pages 1711-1729, April.
    3. Papadakis C. Nikolaos & Fafalakis Marios & Katsaprakakis Dimitris, 2023. "A Review of Pumped Hydro Storage Systems," Energies, MDPI, vol. 16(11), pages 1-39, June.
    4. Chuanxiong Kang & Cheng Chen & Jinwen Wang, 2018. "An Efficient Linearization Method for Long-Term Operation of Cascaded Hydropower Reservoirs," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(10), pages 3391-3404, August.
    5. Dario Maradin, 2021. "Advantages and Disadvantages of Renewable Energy Sources Utilization," International Journal of Energy Economics and Policy, Econjournals, vol. 11(3), pages 176-183.
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    1. Mi Zhang & Guosheng Zhou & Bei Liu & Dajun Huang & Hao Yu & Li Mo, 2025. "Multi-Timescale Nested Hydropower Station Optimization Scheduling Based on the Migrating Particle Whale Optimization Algorithm," Energies, MDPI, vol. 18(7), pages 1-19, April.

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