IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v37y2023i14d10.1007_s11269-023-03622-w.html
   My bibliography  Save this article

Stable Improved Dynamic Programming Method: An Efficient and Accurate Method for Optimization of Reservoir Flood Control Operation

Author

Listed:
  • Fuxin Chai

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China, Institute of Water Resource and Hydropower Research
    Research Center On Flood and Drought Disaster Reduction, China, Institute of Water Resources and Hydropower Research)

  • Feng Peng

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China, Institute of Water Resource and Hydropower Research
    Research Center On Flood and Drought Disaster Reduction, China, Institute of Water Resources and Hydropower Research)

  • Hongping Zhang

    (Research Center On Flood and Drought Disaster Reduction, China, Institute of Water Resources and Hydropower Research)

  • Wenbin Zang

    (Research Center On Flood and Drought Disaster Reduction, China, Institute of Water Resources and Hydropower Research)

Abstract

The optimal algorithm to ensure computational efficiency and accuracy remains to be challenging for the development of robust operation model to solve the optimization problem of reservoir operation, particularly for applications involving flood control with complex flood hydrograph. The dynamic programming (DP) is one of the most popular methods to solve optimization problem, but it is limited the “curse of dimensionality” problem. The improved dynamic programming (IDP) method has been proposed to overcome this defeat of DP, remaining the convergence problem. The relaxation method based on approximate monotonic relationship shows potential to ensure convergence of IDP. In this study, the theoretical search range of the relaxation method are analyzed. A stable improved dynamic programming (SIDP) method is proposed based on relaxation method and a prediction method of schedulable storage states. The proposed SIDP overcomes the complex computational problem of DP and the convergence problem of IDP. The case study on an ideal reservoir and the Guanting reservoir, shows that SIDP can achieve an accuracy as high as DP, but with a much higher efficiency than DP. This method shows a strong solution to optimization problems of reservoir flood control operation.

Suggested Citation

  • Fuxin Chai & Feng Peng & Hongping Zhang & Wenbin Zang, 2023. "Stable Improved Dynamic Programming Method: An Efficient and Accurate Method for Optimization of Reservoir Flood Control Operation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(14), pages 5635-5654, November.
  • Handle: RePEc:spr:waterr:v:37:y:2023:i:14:d:10.1007_s11269-023-03622-w
    DOI: 10.1007/s11269-023-03622-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-023-03622-w
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11269-023-03622-w?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:waterr:v:37:y:2023:i:14:d:10.1007_s11269-023-03622-w. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.