Feasibility Improved Stochastic Dynamic Programming for Optimization of Reservoir Operation

Mohsen Saadat () and Keyvan Asghari
Additional contact information
Mohsen Saadat: Islamic Azad University
Keyvan Asghari: Isfahan University of Technology

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2019, vol. 33, issue 10, No 9, 3485-3498

Abstract: 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.

Keywords: SDP; FISDP; Feasibility; Reservoir operation; Reservoir optimization (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://link.springer.com/10.1007/s11269-019-02315-7 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:waterr:v:33:y:2019:i:10:d:10.1007_s11269-019-02315-7

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11269

DOI: 10.1007/s11269-019-02315-7

Access Statistics for this article

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA) is currently edited by G. Tsakiris

More articles in Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA) from Springer, European Water Resources Association (EWRA)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().