Volume 3, Issue 2 (June 2005)
IJCE 2005, 3(2): 67-77 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Mousavi S, Ponnambalam K, Karray F. A Dynamic Programming Model Coupled with Fuzzy Rule Base for Reservoir Operation Optimization. IJCE 2005; 3 (2) :67-77
URL: http://ijce.iust.ac.ir/article-1-581-en.html
URL: http://ijce.iust.ac.ir/article-1-581-en.html
Abstract: (8261 Views)
A dynamic programming fuzzy rule-based (DPFRB) model for optimal operation of
reservoirs system is presented in this paper. A deterministic Dynamic Programming (DP) model is
used to develop the optimal set of inflows, storage volumes, and reservoir releases. These optimal
values are then used as inputs to a Fuzzy Rule-Based (FRB) model to derive the general operating
policies. Subsequently, the operating policies are evaluated in a simulation model while optimizing
the parameters of the FRB model. The algorithm then gets back to the FRB model to establish the
new set of operating rules using the optimized parameters. This iterative approach improves the
value of the performance function of the simulation model and continues until the satisfaction of
predetermined stopping criteria. The DPFRB performance is tested and compared to a model which
uses the multiple regression based operating rules. Results show that the DPFRB performs well in
terms of satisfying the system target performances.
Type of Study: Research Paper |
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
