Reservoir Operating Rules with Fuzzy Programming
This article has a reply.
VIEW THE REPLYPublication: Journal of Water Resources Planning and Management
Volume 122, Issue 3
Abstract
Relatively little of the research on reservoir operating procedures has found its way into actual practice. One reason is that operators are uncomfortable with complex optimization models and reluctant to use procedures that they do not fully understand. Fuzzy logic seems to offer a way to improve on existing operating practices, which is relatively easy to explain and understand. The main concepts in fuzzy logic and a procedure for applying them are explained. These are applied to finding operating procedures for a single-purpose hydroelectric project, where both the inflows and the selling price for energy can vary. Operation of the system is simulated using both fuzzy logic programming and fixed rules. The results are compared with those obtained by deterministic dynamic programming with hindsight. The use of fuzzy logic with flow forecasts is also investigated. The conclusion is that the fuzzy logic approach is promising, but it suffers from the “curse of dimensionality.” It can be a useful supplement to other conventional optimization techniques, but probably not a replacement.
Get full access to this article
View all available purchase options and get full access to this article.
References
1.
Agsorn, S. (1995). “Fuzzy logic in polder flood control operations in Bangkok,” PhD thesis, University of British Columbia, Vancouver, Canada.
2.
Barnard, J. M. (1989). “The value of inflow forecasting in the operation of a hydroelectric reservoir,” MASc thesis, University of British Columbia, Vancouver, Canada.
3.
Campbell, P. F. (1993). “Applications of fuzzy set theory in reservoir operation,” MASc thesis, University of British Columbia, Vancouver, Canada.
4.
Caselton, W. F., and Russell, S. O. (1976). “Long term operation of storage hydro project.”J. Water Resour. Plng. and Mgmt. Div., ASCE, 102(1) 163–176.
5.
Gates, T. K., Heyder, W. E., Fontane, D. G., and Salas, J. D.(1991). “Multicriterion strategic planning for improved irrigation delivery. I: Approach.”J. Irrig. and Drain. Engrg., ASCE, 117(6), 897–913.
6.
Heyder, W. E., Gates, T. K., Fontane, D. G., and Salas, J. D.(1991). “Multicriterion strategic planning for improved irrigation delivery. II: Application.”J. Irrig. and Drain. Engrg., ASCE, 117(6), 914–934.
7.
Karamouz, M., and Houck, M. H.(1982). “Annual and monthly reservoir operating rules.”Water Resour. Res., 18(5), 1337–1344.
8.
Karamouz, M., and Houck, M. H.(1987). “Comparison of stochastic and deterministic dynamic programming for reservoir operating rule generation.”Water Resour. Bull., 23(1), 1–9.
9.
Kindler, J.(1992). “Rationalizing water requirements with the aid of fuzzy allocation model.”J. Water Resour. Plng. and Mgmt., ASCE, 118(3), 308–323.
10.
Klir, G. J., and Folger, T. A. (1988). Fuzzy sets, uncertainty and information. Prentice Hall, New York, N.Y.
11.
Kosko, B. (1992). Neural networks and fuzzy systems. Prentice Hall, Englewood Cliffs, N.J.
12.
Kosko, B. (1993). Fuzzy thinking: The new science of fuzzy logic. Hyperion, New York, N.Y.
13.
Kosko, B., and Isaka, S. (1993). “Fuzzy logic.”Scientific Am. July, 76–81.
14.
Louks, D. P., Stedinger, J. R., and Haith, D. A. (1981). Water resources systems planning and analysis. Prentice Hall, Englewood Cliffs, N.J.
15.
McNeill, F. M., and Thro, E. (1994). Fuzzy logic: A practical approach. AP Professional, Boston, Mass.
16.
Parent, E., and Duckstein, L. (1993). Proc. 20th Anniversary Conf., Water Resour. Plng. and Mgmt. Div., ASCE, New York, N.Y.
17.
Pedrycz, W. (1993). “Fuzzy control and Fuzzy Systems,” 2nd Ed., John Wiley, New York, N.Y.
18.
Russell, S. O., and Fayegh, D. A. (1993). “A computer model for multiplant hydroelectric system simulation.”Proc., 20th Anniversary Conf., Water Resour. Plng. and Mgmt. Div., ASCE, New York, N.Y.
19.
Tamaki, R. D. (1994). “Real-time fuzzy logic control of combined sewer flows,” MASc thesis, University of British Columbia, Vancouver, Canada.
20.
Van Do, T. (1987). “Optimal operation of a hydroelectric reservoir,” MASc thesis, University of British Columbia, Vancouver, Canada.
21.
Yeh, W. W-G., Becker, L., and Zettlemoyer, R.(1982). “Worth of inflow forecasts for reservoir operation.”J. Water Resour. Plng. and Mgmt. Div., ASCE, 108(3), 257–269.
22.
Yeh, W. W-G.(1985). “Reservoir management and operations models: A state-of-the-art review.”Water Resour. Res., 21(12), 1797–1818.
23.
Young, G. K.(1967). “Finding reservoir operating rules.”J. Hydr. Div., ASCE, 93(6), 297–321.
24.
Zadeh, L. A.(1965). “Fuzzy sets.”Information and Control, 8(3), 38–53.
25.
Zadeh, L., and Kacprzyk, J., eds. (1992). “Fuzzy logic for the management of uncertainty.” John Wiley, New York, N.Y.
Information & Authors
Information
Published In
Journal of Water Resources Planning and Management
Volume 122 • Issue 3 • May 1996
Pages: 165 - 170
Copyright
Copyright © 1996 American Society of Civil Engineers.
History
Published online: May 1, 1996
Published in print: May 1996
Authors
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.