Optimization of Value of CVP's Hydropower Production
Publication: Journal of Water Resources Planning and Management
Volume 116, Issue 1
Abstract
CVPOP is a nonlinear programming model for the optimization of the multi‐month operation of the hydropower system of the California Central Valley Project (CVP). CVPOP includes the dependence of energy values within each month on the capacity factor of the generating unit, avoiding the simplification of assuming constant monthly or yearly values as is common in other models. The model also includes contractual energy and capacity constraints which are nonlinear because of the powerplants' variable head performance curves (capability in MW and energy production rate in kWh per unit release versus reservoir storage). An example illustrates the difference between the values of the energy generated with operations schedules obtained using different objective functions.
Get full access to this article
View all available purchase options and get full access to this article.
References
1.
Barnes, G. W., and Chung, F. I. (1986). “Operational planning for California water system.” J. Water Resour. Plng. Mgmt., ASCE, 112(1), 71–86.
2.
Bazaraa, M. S., and Shetty, C. M. (1979). Nonlinear programming. Wiley, New York, N.Y.
3.
Becker, L., and Yeh, W. W.‐G. (1974). “Optimization of real time operation of multiple‐reservoir system.” Water Resour. Res., 10(6), 1107–1112.
4.
Cowan, M. S., and Bowling, C. V. (1988). “Decision support for Central Valley Project Operation.” Proc. Computerized Decision Support Systems for Water Managers, Colorado State Univ., Ft. Collins, Colo.
5.
Georgakakos, A. P., and Marks, D. H. (1987). “A new method for the real‐time operation of reservoir systems.” Water Resour. Res., 23(7), 1376–1390.
6.
Gill, P. E., Murray, W., and Wright, M. H. (1981). Practical optimization. Academic Press, London, U.K.
7.
Grygier, J. C., and Stedinger, J. R. (1985). “Algorithms for optimizing hydropower system operation.” Water Resour. Res., 21(1), 1–10.
8.
Hanscom, M. A., et al. (1980). “Modeling and resolution for the medium term energy generation planning problem for a large hydroelectric system.” Mgmt. Sci., 26(7), 659–668.
9.
Ikura, Y., and Gross, G. (1984). “Efficient large‐scale hydro system scheduling with forced spill conditions.” IEEE Trans. Power Appar. Syst., PAS‐103(12), 3502–3520.
10.
Ikura, Y., Gross, G., and Sand, G. S. (1986). “PGandE's state‐of‐the‐art scheduling tool for hydro systems.” Interfaces, 16(1), 65–82.
11.
Johnson, S. A., et al. (1988). The revised CVPower Program release 2.0 user's manual (draft). Systems Engineering Group, Pacific and Gas Electric Company.
12.
Labadie, J. W., et al. (1987). “Stochastic analysis of dependable hydropower capacity.” J. Water Resour. Plng. Mgmt. Div., ASCE, 113(3), 422–437.
13.
Loucks, D. P., Stedinger, J. R., and Haith, D. A. (1981). Water resources systems planning and analysis. Prentice‐Hall, Englewood Cliffs, N.J.
14.
Mariño, M. A., and Loaiciga, H. A. (1985a). “Dynamic model for multireservoir operation.” Water Resour. Res., 21(1), 619–630.
15.
Mariño, M. A., and Loaiciga, H. A. (1985b). “Quadratic model for reservoir managment; application to the Central Valley Project.” Water Resour. Res., 21(1), 631–641.
16.
Mariño, M. A., and Mohammadi, B. (1983). “Reservoir operation by linear and dynamic programming.” J. Water Resour. Plng. Mgmt. Div., ASCE, 109(4), 303–319.
17.
Mariño, M. A., and Mohammadi, B. (1984). “Multipurpose reservoir operation 1. Monthly model for a single reservoir.” J. Hydrology, 69, 1–14.
18.
Mohammadi, B., and Mariño, M. A. (1984). “Reservoir operation: choice of objective functions.” J. Water Resour. Plng. Mgmt. Div., ASCE, 110(1), 15–29.
19.
Murtagh, B. A., and Saunders, M. A. (1982). “A projected Lagrangian algorithm and its implementation for sparse nonlinear constraints.” Math. prog. study 16, algorithms for constrained minimization of smooth nonlinear functions, 84–117.
20.
Murtagh, B. A., and Saunders, M. A. (1983). “MINOS 5.0 user's guide.” Technical Report SOL 83‐20, Department of Operations Research, Stanford Univ., Stanford, Calif.
21.
Neto, T. de A. A., et al. (1985). “Comparison of stochastic and deterministic approaches in hydrothermal generation scheduling.” IFAC Symp. on Planning and Operation of Electric Energy Systems, S. H. F. da Cunha, ed., Rio de Janeiro, Brazil, 201–206.
22.
Papageorgiou, M. (1985). “Optimal multireservoir network control by the discrete maximum principle.” Water Resour. Res., 21(12), 1824–1830.
23.
Pereira, M. V. F., and Pinto, M. V. G. (1985). “Stochastic optimization of a multireservoir hydroelectric system: a decomposition approach.” Water Resour. Res., 21(6), 779–792.
24.
Press, W. H., et al. (1986). Numerical recipes—The art of scientific computing. Cambridge University Press, New York, N.Y.
25.
Rosenthal, R. E. (1981). “A nonlinear network flow algorithm for maximization of benefits in a hydroelectric power system.” Oper. Res., 29(4), 763–786.
26.
Rustebakke, H. M. (1983). Electric utility systems and practices. 4th Ed., Electric Utility Systems Engineering Department, General Electric Company, John Wiley & Sons, New York, N.Y.
27.
Staschus, K., et al. (1989). “Computer simulation of CVP power production for integration with PG&E's power system.” Computerized decision support systems for water managers. (Proc. of the 3rd Water Resour. Operations Mgmt. Workshop), J. W. Labadie et al., eds., American Society of Civil Engineers, 106–118.
28.
Yakowitz, S. (1982). “Dynamic programming applications in water resources.” Water Resour. Res., 18(4), 673–696.
29.
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
Journal of Water Resources Planning and Management
Volume 116 • Issue 1 • January 1990
Pages: 52 - 70
Copyright
Copyright © 1990 ASCE.
History
Published online: Jan 1, 1990
Published in print: Jan 1990
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.