TECHNICAL PAPERS
Sep 1, 1995

Comparison of Real-Time Reservoir-Operation Techniques

Publication: Journal of Water Resources Planning and Management
Volume 121, Issue 5

Abstract

This study presents different operation techniques for real-time reservoir regulation on the basis of two hydrologic models and two optimization methods: the first-order autoregressive (AR) model, the GR3 conceptual rainfall-runoff model, the stretched-thread (ST) method, and dynamic programming (DP). With these elements, three reservoir-operation techniques can be designed by combining one hydrological model with one optimization method, namely GR3 with ST, AR with ST, and AR with DP (stochastic DP). The last possibility (GR3 + DP) is not computable. From the efficiency viewpoint, the techniques for a daily reservoir regulation are compared using a 3-yr recorded data series and then a generated 100-yr data series. The comparisons show surprisingly a favorable efficiency for the technique based on the ST method in the Bar-sur-Seine reservoir upstream from Paris. The study confirms the value of simple optimization methods such as ST and the applicability of scenarios methods in real-time reservoir operation. It emphasizes that the basis of a good reservoir-operation system is to view forecast and decision making as a whole unit.

Get full access to this article

View all available purchase options and get full access to this article.

References

1.
Arnold, L. (1974). Stochastic differential equations: theory and applications . Wiley-Interscience Publ., J. Wiley & Sons, New York, N.Y.
2.
Bellman, R. E. (1957). Dynamic programming . Princeton University Press, Princeton, N.J.
3.
Bobée, B., and Ashkar F. (1991). The gamma family and the derived distributions applied in hydrology . Water Resour. Publ., Littleton, Colo.
4.
Butcher, W. S.(1971). “Stochastic dynamic programming for optimum reservoir operation.”Water Resour. Bull., 7(1), 115–123.
5.
Delebecque, F., and Quadrat, J. P. (1978). “Contribution of stochastic control singular pertubation averaging and team theories to an example of large-scale systems: management of hydropower production.”IEEE Trans. Automatic Control, AC-23(6), 209–221.
6.
Denardo, E. V. (1982). Dynamic programming: models and applications . Prentice-Hall, Englewood Cliffs, N.J.
7.
Edijatno, E., and Michel, C. (1989). “Un modèle pluie-débit journalier à trois paramètres.”La Houille Blanche, No. 2, 113–121 (in French).
8.
Edijatno, E. (1991). “Mise au pont d'un modèle élèmentaire pluie-débit au pas de temps journalier,” PhD dissertation, Université Louis Pasteur, Strasbourg, France (in French).
9.
Georgakakos, A. P.(1989a). “Extended linear quadratic Gaussian (ELQG) control: Further extention.”Water Resour. Res., 25(2), 191–201.
10.
Georgakakos, A. P.(1989b). “The value of streamflow forecasting in reservoir operation.”Water Resour. Bull., 25(4), 789–800.
11.
Georgakakos, A. P., and Marks, D. H.(1987). “A new method for the real time operation of reservoir operation systems.”Water Resour. Res., 23(7), 1376–1390.
12.
Karamouz, M., Houck, M. H., and Delleur, J. W.(1992). “Optimization and simulation of multiple reservoir systems.”J. Water Resour. Plng. and Mgmt., ASCE, 118(1), 71–81.
13.
Karamouz, M., and Houck, M. H. (1987). “Comparison of stochastic and deterministic dynamic programming for reservoir operating rule generation.”Water Resour. Bull., 1–9.
14.
Katai, O. (1982). “Optimal control of discharge from a reservoir based on finite Kushner's Markov chain approximation of river flow diffusion process.”Res. Rep., Fac. of Engrg., Kyoto Univ., Kyoto, Japan.
15.
Kelman, J., Stedinger, J. R., Cooper, L. A., Hsu, E., and Yuan, S. Q.(1990). “Sampling stochastic dynamic programming applied to reservoir operation.”Water Resour. Res., 26(3), 447–454.
16.
Klein, J. (1991). “Streamflow regulation from a reservoir: application of FTAIS method.”Tech. Rep., CERGRENE, Ecole Nationale des Ponts et Chaussées, Noisy le Grand, France.
17.
Klemes, V.(1977). “Value of information in reservoir optmization.”Water Resour. Res., 13(5), 837–850.
18.
Klemes, V.(1979). “Storage mass-curve analysis in a systems-analytic perspective.” Water Resour. Res., 15(2), 359–370.
19.
Kushner, H. J. (1977). Probability methods for approximations in stochastic control and for elliptic equations . Academic Press, New York, N.Y.
20.
Larson, R. E., and Casti, J. L. (1978). Principles of dynamic programming: Part I: Basic analysis and computational methods . Marcel Dekker, New York, N.Y.
21.
Loaiciga, H. A., and Marino, M. A.(1985). “An approach to parameter estimation and stochastic control in water resources with an application to reservoir operation.”Water Resour. Res., 21(11), 1575–1584.
22.
Massé, P. (1946). Les réserves et la régulation de l'avenir . Herman, Paris, France (in French).
23.
Mishalani, N. R., and Palmer, R. N.(1988). “Forecast uncertainty in water supply reservoir operation.”Water Resour. Bull., 24(6), 1237–1245.
24.
Parent, E. (1991). “Elaboration des consignes de gestion des barrages réservoirs,” PhD dissertation, Ecole Nationale des Ponts et Chaussées, Paris, France (in French).
25.
Rippl, W.(1883). “The capacity of storage-reservoirs for water supply.”Minutes; Proc., Inst. of Civ. Engrg., Inst. of Civ. Engrg., 71, 270–278.
26.
Singh, V. P. (1989). Hydrologic systems: Watershed modeling, Volume II . Prentice-Hall, Englewood Cliffs, N.J.
27.
Stedinger, J., Sule, B., and Loucks, D.(1984). “Stochastic dynamic programming models for reservoir operation optimization.”Water Resour. Res., 20(11), 1499–1505.
28.
Thomas, H. A., and Fiering, M. B. (1962). “Mathematical synthesis of streamflow sequences for the analysis of river basin by simulation.”Design of water resource systems, A. Maass, et al., eds., Harvard University Press, Cambridge, Mass.
29.
Turgeon, A.(1980). “Optimal operation of multireservoir power systems with stochastic inflows.”Water Resour. Res., 16(2), 275–283.
30.
Varlet, H. (1923). “Etude graphique des conditions d'exploitation d'un réservoir de régularisation.”Annales des Ponts et Chaussées, Paris, France, Mém. Doc., Partie Tech., 61–79 (in French).
31.
Yakowitz, S.(1982). “Dynamic programming applications in water resources.”Water Resour. Res., 18(4), 673–696.
32.
Yang, X. (1989). “Geston des barrages-reservoirs en avenir incertain: utilisation de la méthode du fil-tendu sur scénarios,” DEA Thesis, CERGRENE, Ecole Nationale des Ponts et Chaussées, Noisy le Grand, France.
33.
Yang, X., and Parent, E. (1988). “Etablissement d'un modéle débit-débit et comparaison avec un modéle pluie-débit appliqué au cas de las Seine.”Tech. Rep., CERGRENE, Ecole Nationale des Ponts et Chaussées, Noisy le Grand, France (in French).
34.
Yeh, W. W.-G.(1985). “Reservoir management and operation models: a state of the art review.”Water Resour. Res., 21(12), 1797–1818.

Information & Authors

Information

Published In

Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 121Issue 5September 1995
Pages: 345 - 351

History

Published online: Sep 1, 1995
Published in print: Sep 1995

Permissions

Request permissions for this article.

Authors

Affiliations

Xiaoliu Yang
Sr. Engr., Dept. of Water Resour., IWHR, 1A Fuxing Rd., P.O. Box 366, Beijing 100038, People's Republic of China.
Eric Parent
Prof. of Appl. Maths, French Inst. of Forestry, Agric. and Envir. Engrg., 19 av. du Maine, 75732 Paris Cedex 15, France.
Claude Michel
Sr. Hydro., Div. Hydrologie, Cemagref, BP 121, 92185 Antony, France.
Pierre-Alain Roche
Prof. of Hydro., Ecole Nationale des Ponts et Chaussées, DDE, 1 Bld. J. Guesdes, 10 000 Troyes, France.

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share