Deriving efficient reservoir operating rules using flexible stochastic dynamic programming

Progress in Water Resources

Volumn , Issue , 2001, Pages 353-364

  Tilmant, A ^a   Persoons, E ^a   Vanclooster, M ^a  

^a UNIVERSITÉ CATHOLIQUE DE LOUVAIN   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; DECISION MAKING; DYNAMIC PROGRAMMING; ENERGY STORAGE; FUZZY SETS; HYDROLOGY; MATHEMATICAL MODELS; OPTIMIZATION; PROBLEM SOLVING; RANDOM PROCESSES; WATER RESOURCES; WATERSHEDS; WETLANDS;

FLEXIBLE STOCHASTIC DYNAMIC PROGRAMMING (FSDP); HYDRODOMINATED SYSTEMS; HYDROPOWER GENERATION; SUBSISTENCE AGRICULTURE;

RESERVOIRS (WATER);

EID: 2942650952     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. Yeh W. W-G., 1985. Reservoir Management and Operations Models: A State-of-the Art Review. Water Resources Research 21(12): 1797-1818.
2. Stedinger J. R., B. F. Sule, and D. P. Loucks, 1984. Stochastic Dynamic programming Models for Reservoir Operation Optimization. Water Resources Research 20(11): 1499-1505.
3. Kelman J., J. R. Stedinger, L. A. Cooper, E. Hsu, and S. Yuan, 1990. Sampling Stochastic Dynamic Programming Applied to Reservoir Operation. Water Resources Research 26(3): 447-454.
4. Tejada-Guibert A., S.A. Johnson and J.R. Stedinger, 1993. Comparison of Two Approaches for Implementing Multireservoir Operating Policies Derived Using Stochastic Dynamic Programming. Water Resources Research 29(12): 3969-3980.
5. Datta B. and S. Burges, 1984. Short-term, single, multiple-purpose reservoir operation: importance of loss functions and forecast errors. Water Resources Research 20(9): 1167-1176.
6. Loucks D, E. Stakhiv and L. Martin, 2000. Sustainable Water Resources Management. J. Water Resour. Plann. Manage. 126(2): 43-47.
7. Fontane D. G., T. K. Gates, and E. Moncada, 1997. Planning Reservoir Operations with Imprecise Objectives. J. Water Resour. Plann. Manage. 123(3): 154-163.
8. Teegavarapu R.S.V. and S.P. Simonovic, 1999. Modeling Uncertainty in Reservoir Loss Functions Using Fuzzy Sets. Water Resources Research 35(9): 2815-2823.
9. Tilmant A., L. Duckstein, M. Vanclooster and E. Persoons, 2000. Comparison of reservoir operating policies derived using fuzzy and non-fuzzy explicit stochastic dynamic programming. Internal report, Dpt. of Envr. Sc. and Land Use Plann., Univ. cath. de Louvain, Louvain-la-Neuve, Belgium.
10. Tilmant A., P. Fortemps, M. Vanclooster, 2001. On the use of averaging operators in fuzzy stochastic dynamic programming. Internal report, Dpt. of Envr. Sc. and Land Use Plann., Univ. cath. de Louvain, Louvain-la-Neuve, Belgium.
11. Dubois D. and P. Fortemps, 1999. Computing improved optimal solutions to the max-min flexible constraint satisfaction problems. European Journal of Operational Research 118: 95-126.
12. Saaty T. L., 1977. A Scaling Method for Priorities in Hierarchical Structures. J. Math. Psychol. 15: 234-281.
13. Yager R., 1978. Fuzzy Decision Making Including Unequal Objectives. Fuzzy Sets and Sysems 1: 87-95.
14. Yager R., 1988. On Ordered Weighted Averaging Aggregation Operators in Multicriteria Decision-making. IEEE Transactions on Systems, Man, and Cybernetics 18(1): 183-190.
15. nd edition). Kluwer Academic Publishers, Norwell, Mass.
16. Kaymak U., and H. R. van Nauta Lemke, 1998. A Sensitivity Analysis Approach to Introducing Weight Factors Into Decision Functions in Fuzzy Multicriterion Decision-making. Fuzzy Sets and Systems 97: 169-182.
17. Li L. and K. K. Lai, 2001. Fuzzy Dynamic Programming Approach to Hybrid Multiobjective Multistage Decision-making Problems. Fuzzy Sets and Systems 117: 13-25.
18. Hashimoto T., J. R. Stedinger and D. P. Loucks, 1982. Reliability, Resiliency, and Vulnerability Criteria For Water Resource System Performance Evaluation. Water Resources Research 18(1): 14-20.
19. Faouzi E.H., 1999. Diagnostic Hydrique de la Culture du Blé en Milieu Oasien, Ph.D. thesis. Univ. cath. de Louvain, Louvain-la-Neuve, Belgium.