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Optimal Operation of a Parallel Multireservoir System for Flood Control using a Stagewise Compensation Method

Author

Listed:
  • Di Zhu

    (Wuhan University)

  • Yadong Mei

    (Wuhan University)

  • Xinfa Xu

    (Jiangxi Provincial Institute of Water Sciences)

  • Zhangjun Liu

    (Jiangxi Provincial Institute of Water Sciences)

  • Zhenhui Wu

    (Wuhan University)

  • Hao Cai

    (Wuhan University)

Abstract

Optimal operation of multireservoir flood control systems is a nonlinear and high-dimensional problem. For a parallel multireservoir system, the impact of joint compensation flood control operation for each reservoir on reducing the peak flow downstream should be considered. This study proposed an optimization method called the stagewise compensation method (SWCM) for flood control operation of a parallel multireservoir system based on the concept of three-stage flood control operation and compensation flood control operation. The dynamic programming-progressive optimality algorithm (DP-POA) was also implemented to verify the solutions of SWCM. The Ji’an parallel multireservoir system was selected as a case study. The results show that SWCM can decompose a parallel multireservoir system into a single-reservoir system and consider the impact of the joint compensation operation for each reservoir on reducing peak flow in the downstream area. When applying SWCM, the reduction rate of typical and 10-year, 20-year, 30-year, 50-year and 100-year designed flood peaks at Ji’an hydrological station can reach over 12% on average, which is great progress compared with conventional flood control operation rules and DP-POA.

Suggested Citation

  • Di Zhu & Yadong Mei & Xinfa Xu & Zhangjun Liu & Zhenhui Wu & Hao Cai, 2021. "Optimal Operation of a Parallel Multireservoir System for Flood Control using a Stagewise Compensation Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(6), pages 1689-1710, April.
    • Handle: RePEc:spr:waterr:v:35:y:2021:i:6:d:10.1007_s11269-021-02803-9
    DOI: 10.1007/s11269-021-02803-9
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    References listed on IDEAS

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    1. Jiang, Zhiqiang & Ji, Changming & Qin, Hui & Feng, Zhongkai, 2018. "Multi-stage progressive optimality algorithm and its application in energy storage operation chart optimization of cascade reservoirs," Energy, Elsevier, vol. 148(C), pages 309-323.
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    6. Wang Zhang & Pan Liu & Xizhen Chen & Li Wang & Xueshan Ai & Maoyuan Feng & Dedi Liu & Yuanyuan Liu, 2016. "Optimal Operation of Multi-reservoir Systems Considering Time-lags of Flood Routing," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(2), pages 523-540, January.
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    Cited by:

    1. Lihua Chen & Jing Yu & Jin Teng & Hang Chen & Xiang Teng & Xuefang Li, 2022. "Optimizing Joint Flood Control Operating Charts for Multi–reservoir System Based on Multi–group Piecewise Linear Function," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(9), pages 3305-3325, July.
    2. Di Zhu & Hua Chen & Yanlai Zhou & Yadong Mei & Xinfa Xu & Shenglian Guo, 2022. "A Triple-stage Operation Method for Deriving Operation Rules for Cascade Reservoirs during Catastrophic Flood Events," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(13), pages 4863-4883, October.

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