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Self-Optimization Simulation Model of Short-Term Cascaded Hydroelectric System Dispatching Based on the Daily Load Curve

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  • Xin-Ming Zhang
  • Li-ping Wang
  • Ji-wei Li
  • Yan-ke Zhang

Abstract

Short-term optimization dispatching of cascaded hydroelectric system with day (or week) cycle is of great value in practical implementation, such as improving grid stability, more power benefits. This study proposes a short-term self-optimization simulation model for cascaded hydroelectric system dispatching, which balances the requirements both of the generation side and the demand side. Three conflicting objectives for the management of hydropower generation are incorporated in the cascaded hydroelectric system. And in this model, the reasonable physical factors are chosen to coordinate the contradiction. According to the characteristics of the self-optimization simulation technique, for example clear physical meaning, more perfect simulation, no dimension limitation, artificial adjustment with the accumulated experience and so on, a new solving idea for this model is set up. And the new operation model is illustrated in the middle reaches of the Chinese Jinsha River, where eight cascades are planned. Considering the different startup time and combinations, the results of the joint operation compared to the single reservoir operation has provided important demonstration for the investment entities, simultaneously the solving efficiency and quality of this model are good for implementing in practical. Copyright The Author(s) 2013

Suggested Citation

  • Xin-Ming Zhang & Li-ping Wang & Ji-wei Li & Yan-ke Zhang, 2013. "Self-Optimization Simulation Model of Short-Term Cascaded Hydroelectric System Dispatching Based on the Daily Load Curve," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(15), pages 5045-5067, December.
    • Handle: RePEc:spr:waterr:v:27:y:2013:i:15:p:5045-5067
    DOI: 10.1007/s11269-013-0450-9
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    References listed on IDEAS

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    1. Pekala, Lukasz M. & Tan, Raymond R. & Foo, Dominic C.Y. & Jezowski, Jacek M., 2010. "Optimal energy planning models with carbon footprint constraints," Applied Energy, Elsevier, vol. 87(6), pages 1903-1910, June.
    2. Noor Khan & Mukand Babel & Tawatchai Tingsanchali & Roberto Clemente & Huynh Luong, 2012. "Reservoir Optimization-Simulation with a Sediment Evacuation Model to Minimize Irrigation Deficits," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(11), pages 3173-3193, September.
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    Cited by:

    1. Balkhair, Khaled S. & Rahman, Khalil Ur, 2017. "Sustainable and economical small-scale and low-head hydropower generation: A promising alternative potential solution for energy generation at local and regional scale," Applied Energy, Elsevier, vol. 188(C), pages 378-391.
    2. Liu Yuan & Jianzhong Zhou & Chunlong Li & Mengfei Xie & Li Mo, 2016. "Benefit and Risk Balance Optimization for Stochastic Hydropower Scheduling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(10), pages 3347-3361, August.
    3. Yanpin Li & Huiliang Wang & Zichao Zhang & Huawei Li & Xiaoli Wang & Qifan Zhang & Tong Zhou & Peng Zhang & Fengxiang Chang, 2023. "Optimal Scheduling of the Wind-Photovoltaic-Energy Storage Multi-Energy Complementary System Considering Battery Service Life," Energies, MDPI, vol. 16(13), pages 1-17, June.
    4. Liu Yuan & Jianzhong Zhou, 2017. "Self-Optimization System Dynamics Simulation of Real-Time Short Term Cascade Hydropower System Considering Uncertainties," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(7), pages 2127-2140, May.
    5. Barry, Michael & Baur, Patrick & Gaudard, Ludovic & Giuliani, Gianluca & Hediger, Werner & Romerio, Franco & Schillinger, Moritz & Schumann, René & Voegeli, Gillaume & Weigt, Hannes, 2015. "The Future of Swiss Hydropower A Review on Drivers and Uncertainties," Working papers 2015/11, Faculty of Business and Economics - University of Basel.
    6. T. Cohen Liechti & J. Matos & J.-L. Boillat & A. Schleiss, 2015. "Influence of Hydropower Development on Flow Regime in the Zambezi River Basin for Different Scenarios of Environmental Flows," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(3), pages 731-747, February.

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