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Feasibility Improved Stochastic Dynamic Programming for Optimization of Reservoir Operation

Author

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  • Mohsen Saadat

    (Islamic Azad University)

  • Keyvan Asghari

    (Isfahan University of Technology)

Abstract

Stochastic Dynamic Programming (SDP) is a major method for optimizing reservoir operation. Handling non-linear, non-convex and non-differentiable objective functions and constraints are some advantages of SDP. Besides the mentioned advantages, this method suffers drawbacks like infeasibility. Infeasibility occurs in SDP naturally because of discretization process and random combination of state variable values. The main idea in this paper is to mitigate the infeasibility drawback in SDP by properly adjusting the reservoir volume interval indices. These indices are determined based on the continuity equation and meeting the monthly minimum release so that some infeasible policies are transformed to feasible ones. Simulation of reservoir operation for 60-year planning period indicates an improvement up to 30% in objective function by employing the proposed technique in a case study.

Suggested Citation

  • Mohsen Saadat & Keyvan Asghari, 2019. "Feasibility Improved Stochastic Dynamic Programming for Optimization of Reservoir Operation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(10), pages 3485-3498, August.
    • Handle: RePEc:spr:waterr:v:33:y:2019:i:10:d:10.1007_s11269-019-02315-7
    DOI: 10.1007/s11269-019-02315-7
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    References listed on IDEAS

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    1. Bo Ming & Pan Liu & Tao Bai & Rouxin Tang & Maoyuan Feng, 2017. "Improving Optimization Efficiency for Reservoir Operation Using a Search Space Reduction Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(4), pages 1173-1190, March.
    2. Asmadi Ahmad & Ahmed El-Shafie & Siti Razali & Zawawi Mohamad, 2014. "Reservoir Optimization in Water Resources: a Review," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(11), pages 3391-3405, September.
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    Cited by:

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    2. Yong-Gun Kim & Myong-Bong Jo & Pyol Kim & Song-Nam Oh & Chung-Hyok Paek & Sung-Ryol So, 2021. "Effective Optimization-Simulation Model for Flood Control of Cascade Barrage Network," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(1), pages 135-157, January.
    3. 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.
    4. Xiaona Li & Xiaosheng Wang & Haiying Guo & Weimin Ma, 2020. "Multi-Water Resources Optimal Allocation Based on Multi-Objective Uncertain Chance-Constrained Programming Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(15), pages 4881-4899, December.
    5. J. Pablo Ortiz-Partida & Taher Kahil & Tatiana Ermolieva & Yuri Ermoliev & Belize Lane & Samuel Sandoval-Solis & Yoshihide Wada, 2019. "A Two-Stage Stochastic Optimization for Robust Operation of Multipurpose Reservoirs," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(11), pages 3815-3830, September.

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