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Optimal Reservoir Flood Control Operation Using a Hedging Model and Considering the Near-Field Vibrations Induced by Flood Release

Author

Listed:
  • Ji-Jian Lian

    (Tianjin University)

  • Xin-Yu Guo

    (Tianjin University)

  • Chao Ma

    (Tianjin University)

  • Kui Xu

    (Tianjin University)

Abstract

Several researchers have extensively investigated the flow-induced vibrations caused by flood release because numerous structures have been destroyed by such release. Nevertheless, none of the previous research has considered vibration safety during flood control operation. In this study, a hedging scheduling model considering the near-field vibrations induced by flood release and hydrological uncertainty is proposed to optimize the discharge process. The dispatch model was applied to the Xiangjiaba reservoir due to the reservoir’s classic problem of near-field vibrations induced by flood release. The measured root-mean square (RMS) data for the acceleration in the vertical direction of near-field vibrations were used to summarize safety constraints. The vibration safety discharge ceiling was determined according to field test records and was regarded as an operational safety constraint for the dispatch model. Based on this innovative safety constraint, this paper demonstrates the development of an optimal dispatch model for reservoirs by considering forecast uncertainty. The proposed strategy utilizes storage capacity to optimally allocate the gap between the expected flood volume and vibration safety discharge capacity (GBEV) in the discharge process. Optimal flood control operation considering the near-field vibrations induced by flood release falls into four categories, with each category corresponding to one optimal operation strategy. The solution set to this model can provide decision support for reservoirs with similar flood-induced vibration problems and optimize the power output of hydropower stations.

Suggested Citation

  • Ji-Jian Lian & Xin-Yu Guo & Chao Ma & Kui Xu, 2019. "Optimal Reservoir Flood Control Operation Using a Hedging Model and Considering the Near-Field Vibrations Induced by Flood Release," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(8), pages 2645-2663, June.
    • Handle: RePEc:spr:waterr:v:33:y:2019:i:8:d:10.1007_s11269-019-02231-w
    DOI: 10.1007/s11269-019-02231-w
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    References listed on IDEAS

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    1. Yong Peng & Wei Xu & Bingbing Liu, 2017. "Considering precipitation forecasts for real-time decision-making in hydropower operations," International Journal of Water Resources Development, Taylor & Francis Journals, vol. 33(6), pages 987-1002, November.
    2. Benyou Jia & Slobodan P. Simonovic & Pingan Zhong & Zhongbo Yu, 2016. "A Multi-Objective Best Compromise Decision Model for Real-Time Flood Mitigation Operations of Multi-Reservoir System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(10), pages 3363-3387, August.
    3. Qingqing Li & Shuo Ouyang, 2015. "Research on multi-objective joint optimal flood control model for cascade reservoirs in river basin system," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 77(3), pages 2097-2115, July.
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    Cited by:

    1. Gaurav Tripathi & Arvind Chandra Pandey & Bikash Ranjan Parida & Amit Kumar, 2020. "Flood Inundation Mapping and Impact Assessment Using Multi-Temporal Optical and SAR Satellite Data: a Case Study of 2017 Flood in Darbhanga District, Bihar, India," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(6), pages 1871-1892, April.

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