Multiobjective Analysis of Service-Water-Transmission Systems
Publication: Journal of Water Resources Planning and Management
Volume 123, Issue 2
Abstract
A multiobjective analysis technique is presented to determine the optimum operation of pumps and reservoirs in service-water-transmission systems. Three major objectives were identified as (1) economics in terms of energy cost minimization; (2) stability in pump operation; and (3) reliability in meeting stochastically varying demands. These objectives were evaluated based on the required number of times the pumps were turned on or off, the required total energy cost, and the minimum required storage during the operating horizon. A set of nondominated solutions to show the explicit trade-off relationships between the considered objectives was generated using a combination of the ε-constraint method and the weighting method. A forward dynamic programming algorithm was applied to find the optimal solution to the discretized multiobjective problem. Decision makers can evaluate the developed trade-off relationship to identify potential operational alternatives for more detailed evaluation. The methodology was illustrated by application to the Kumi service-water-transmission system in the Republic of Korea.
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References
1.
Bellman, R. (1957). Dynamic programming. Princeton Univ. Press, Princeton, N.J.
2.
Cohon, J. L., and Marks, D. H.(1975). “A review and evaluation of multi-objective programming techniques.”Water Resour. Res., 11(2), 208–220.
3.
Design criteria for water supply systems. (1985). Ministry of Construction, Republic of Korea (in Korean).
4.
Fallside, F., and Perry, P. F.(1975). “Hierarchical optimization of a water-supply network.”Proc., IEE, Instn. of Electr. Engrs., London, 122(2), 202–208.
5.
Goicoechea, A., Hansen, D. R., and Duckstein, L. (1982). Multiobjective decision analysis with engineering and business application. John Wiley & Sons, Inc., New York, N.Y.
6.
Haimes, Y. Y., Wismer, D. A., and Lasdon, L. S. (1971). “On bicriterion formulation of integrated system identification and system optimization.”IEEE Trans. on Sys., Man, and Cybernetics, IEEE Press, Piscataway, N. J., SMC-1(July), 296–297.
7.
Ko, S.-K., Fontane, D. G., and Labadie, J. W.(1992). “Multiobjective optimization of reservoir systems operation.”Water Resour. Bull., American Water Resources Assn., 28(1), 111–127.
8.
Kokata, T. (1977). “A methodology on the optimal operation of service water transmission systems.”J. Japanese Water Supply Assn., 510, 2–11 (in Japanese).
9.
Labadie, J. W. (1987). “Dynamic programming with the microcomputer.”Encyclopedia of microcomputers, A. Kent and J. Williams, eds., Marcel Dekker, Inc., New York, N.Y.
10.
Lansey, K. E., and Awumah, K.(1994). “Optimal pump operations considering pump switches.”J. Water Resour. Plng. and Mgmt., ASCE, 120(1), 17–35.
11.
Mays, L. W., and Tung, Y. K. (1992). Hydrosystems engineering and management. McGraw-Hill Book Co., Inc., New York, N.Y.
12.
Osato, A. (1979). “Hierarchical optimization of the water supply system.”Japanese Soc. of Electr. Engrs., 54-C-13, 103–110 (in Japanese).
13.
Shimizu, H. (1976). “Optimization of service water transmission systems.”Toshiba Rev., 31(1), 12–15 (in Japanese).
14.
Zadeh, L. A. (1963). “Optimality and non-scalar-valued performance criteria.”IEEE Trans. on Automatic Control, IEEE Press, Piscataway, N.J., AC-8(1), 59–60.
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Information
Published In
Journal of Water Resources Planning and Management
Volume 123 • Issue 2 • March 1997
Pages: 78 - 83
Copyright
Copyright © 1997 American Society of Civil Engineers.
History
Published online: Mar 1, 1997
Published in print: Mar 1997
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