Effects of Inflow Uncertainty on the Performance of Multireservoir Systems
Publication: Journal of Irrigation and Drainage Engineering
Volume 140, Issue 11
Abstract
Reservoirs are infrastructures that play an important role in supplying water. Hydrological and meteorological parameters, as the most important elements in reservoir systems’ simulations, are uncertain. Thus, such uncertainties must be considered in integrated water resource management. This paper includes (1) generation of artificial time series based on probabilistic statistical models; (2) operation policies of hydropower reservoir systems; (3) analysis of risk and uncertainty of a reservoir system; and (4) development of performance indices for evaluation of hydropower reservoir system efficiency. To evaluate the effects of inflow uncertainty on the performance of a hydropower multireservoir system, this paper uses Monte Carlo simulation (MCS). Periodic stochastic models are used to generate different inflow time series. The generated time series are then used to run simulation and optimization models considering five scenarios. Subsequently, probability distributions of performance indices (volumetric reliability, time-based reliability, vulnerability, and resiliency) are extracted for each scenario. Moreover, the uncertainty of each parameter is measured by the coefficient of variation. Results show that the use of an optimization method to increase hydropower multireservoir system performance that considers inflow uncertainty yields the best volumetric reliability and vulnerability of management scenarios considered. The best values of temporal reliability and resiliency are obtained in single hydropower reservoir simulation and hydropower multireservoir simulation, respectively. In contrast, inflow uncertainty has the least effect on volumetric reliability (about 2%) and the most effect on resiliency (about 18%).
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References
Afshar, A., Shafii, M., and Bozorg Haddad, O. (2010). “Optimizing multi-reservoir operation rules: An improved HBMO approach.” J. Hydroinf., 13(1), 121–139.
Ajami, N. K., Duan, Q., and Sorooshian, S. (2007). “An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction.” Water Resour. Res., 43(1), W01403.
Anderson, P. L., Kavalieris, L., and Meerschaert, M. M. (2008). “Innovations algorithm asymptotics for periodically stationary time series with heavy tails.” J. Multivariate Anal., 99(1), 94–116.
Anderson, P. L., and Meerschaert, M. M. (2005). “Parameter estimates for periodically stationary time series.” J. Time Series Anal., 26(4), 489–518.
Anderson, P. L., Tesfaye, Y. G., and Meerschaert, M. M. (2007). “Fourier-PARMA models and their application to river flows.” J. Hydrol. Eng., 462–472.
Banos, R., Reca, J., Martinez, J., Gil, C., and Marquez, A. L. (2011). “Resilience indexes for water distribution network design: A performance analysis under demand uncertainty.” Water Resour. Manage., 25(10), 2351–2366.
Barros, M. T. L., Tsai, F. T., Yang, S., Lopes, J. E. G., and Yeh, W. W.-G (2003). “Optimization of large-scale hydropower system operations.” J. Water Resour. Plann. Manage., 178–188.
Barros, M. T. L., Yang, S., Lopes, J. E. G., and Yeh, W. W.-G. (2001). “Large-scale hydropower system optimization.” IAHR Publication No. 271, Integrated Water Resources Management, Wallingford, U.K., 263–268.
Bozorg Haddad, O., Adams, B. J., and Mariño, M. A. (2008a). “Optimum rehabilitation strategy of water distribution systems using the HBMO algorithm.” J. Water Supply: Res. Technol.—AQUA, 57(5), 337–350.
Bozorg Haddad, O., Afshar, A., and Mariño, M. A. (2008b). “Design-operation of multi-hydropower reservoirs: HBMO approach.” Water Resour. Manage., 22(12), 1709–1722.
Bozorg Haddad, O., Afshar, A., and Mariño, M. A. (2008c). “Honey-bee mating optimization (HBMO) algorithm in deriving optimal operation rules for reservoirs.” J. Hydroinf., 10(3), 257–264.
Bozorg Haddad, O., Afshar, A., and Mariño, M. A. (2009). “Optimization of nonconvex water resource problems by honey-bee mating optimization (HBMO) algorithm.” Eng. Comput., 26(3), 267–280.
Bozorg Haddad, O., Afshar, A., and Mariño, M. A. (2011a). “Multireservoir optimisation in discrete and continuous domains.” Proc. Inst. Civ. Eng.: Water Manage., 164(2), 57–72.
Bozorg Haddad, O., and Mariño, M. A. (2007). “Dynamic penalty function as a strategy in solving water resources combinatorial optimization problems with honey-bee optimization (HBMO) algorithm.” J. Hydroinf., 9(3), 233–250.
Bozorg Haddad, O., and Mariño, M. A. (2011). “Optimum operation of wells in coastal aquifers.” Proc. Inst. Civ. Eng.: Water Manage., 164(3), 135–146.
Bozorg Haddad, O., Moradi-Jalal, M., and Mariño, M. A. (2011b). “Design-operation optimisation of run-of-river power plants.” Proc. Inst. Civ. Eng.: Water Manage., 164(9), 463–475.
Brekke, L., Miller, N. L., Bashford, K. E., Quinn, N. W. T., and Dracup, J. A. (2004). “Climate change impacts uncertainty for water resources in the San Joaquin River basin, California.” J. Am. Water Resour. Assoc., 40(1), 149–164.
Cai, X., and Rosegrant, M. W. (2004). “Irrigation technology choices under hydrologic uncertainty: A case study from Maipo River basin, Chile.” Water Resour. Res., 40(4), W04103.
Fallah-Mehdipour, E., Bozorg Haddad, O., Beygi, S., Mariño, M. A. (2011a). “Effect of utility function curvature of Young’s bargaining method on the design of WDNs.” Water Resour. Manage., 25(9), 2197–2218.
Fallah-Mehdipour, E., Bozorg Haddad, O., Mariño, M. A. (2011b). “MOPSO algorithm and its application in multipurpose multireservoir operations.” J. Hydroinf., 13(4), 794–811.
Fallah-Mehdipour, E., Bozorg Haddad, O., Mariño, M. A. (2012). “Real-time operation of reservoir system by genetic programming.” Water Resour. Manage., 26(14), 4091–4103.
Ghajarnia, N., Bozorg Haddad, O., Mariño, M. A. (2011). “Performance of a novel hybrid algorithm in the design of water networks.” Proc. Inst. Civ. Eng.: Water Manage., 164(4), 173–191.
Hashimoto, T., Stedinger, J. R., and Loucks, D. P. (1982). “Reliability, resilience, and vulnerability criteria for water resource system performance evaluation.” Water Resour. Res., 18(1), 14–20.
Jones, R., and Brelsford, W. (1967). “Time series with periodic structure.” Biometrika, 54(3–4), 403–408.
Karimi-Hosseini, A., Bozorg Haddad, O., Mariño, M. A. (2011). “Site selection of rain gauges using entropy methodologies.” Proc. Inst. Civ. Eng.: Water Manage., 164(7), 321–333.
Kuczera, G., and Parent, E. (1998). “Monte Carlo assessment of parameter uncertainty in conceptual catchment models: The metropolis algorithm.” J. Hydrol., 211(1–4), 69–85.
Labadie, J. W. (2004). “Optimal operation of multi-reservoir systems: State of the art review.” J. Water Resour. Plann. Manage., 93–111.
LINGO [Computer software]. Lindo System, Chicago, IL.
MATLAB [Computer software]. MathWorks, Natick, MA.
Mays, L. W., and Tung, Y.-K. (1992). Hydrosystems engineering and management, McGraw-Hill, New York, 170–171.
Moradi-Jalal, M., Bozorg Haddad, O., Karney, B. W., Mariño, M. A. (2007). “Reservoir operation in assigning optimal multi-crop irrigation areas.” Agric. Water Manage., 90(1–2), 149–159.
Mylopoulos, Y. A., Theodosiou, N., and Mylopoulos, N. A. (1999). “A stochastic optimization approach in the design of an aquifer remediation under hydrogeologic uncertainty.” Water Resour. Manage., 13(5), 335–351.
Noory, H., Liaghat, A. M., Parsinejad, M., and Bozorg Haddad, O. (2012). “Optimizing irrigation water allocation and multicrop planning using discrete PSO algorithm.” J. Irrig. Drain. Eng., 437–444.
Rasoulzadeh-Gharibdousti, S., Bozorg Haddad, O., Mariño, M. A. (2011). “Optimal design and operation of pumping stations using NLP-GA.” Proc. Inst. Civ. Eng.: Water Manage., 164(4), 163–171.
Reis, L. F. R., Walters, G. A., Savic, D., and Chaudhry, F. H. (2005). “Multi-reservoir operation planning using hybrid genetic algorithm and linear programming (GA-LP): An alternative stochastic approach.” Water Resour. Manage., 19(6), 831–848.
Sabbaghpour, S., Naghashzadehgan, M., Javaherdeh, K., and Bozorg Haddad, O. (2012). “HBMO algorithm for calibrating water distribution network of Langarud City.” Water Sci. Technol., 65(9), 1564–1569.
Salas, J. D., Delleur, W., Yevjevich, V., and Lane, W. L. (1988). “Applied modeling of hydrologic time series.” Water Resources Publications, Littleton, CO, 484.
Salas, J. D., and Shin, H.-S. (1999). “Uncertainty analysis of reservoir sedimentation.” J. Hydraul. Eng., 339–350.
Seifollahi-Aghmiuni, S., Bozorg Haddad, O., Omid, M. H., Mariño, M. A. (2011). “Long-term efficiency of water networks with demand uncertainty.” Proc. Inst. Civ. Eng.: Water Manage., 164(3), 147–159.
Soltanjalili, M., Bozorg Haddad, O., Mariño, M. A. (2011). “Effect of breakage level one in design of water distribution networks.” Water Resour. Manage., 25(1), 311–337.
Srdjevic, B., Medeiros, Y. D. P., and Faria, A. S. (2004). “An objective multi-criteria evaluation of water management scenario.” Water Resour. Manage., 18(1), 35–54.
Vrugt, J. A., Gupta, H. V., Bouten, W., and Sorooshian, S. (2003). “A shuffled complex evolution metropolis algorithm for optimization and uncertainty assessment of hydrologic model parameters.” Water Resour. Res., 39(8), 1201–1212.
Wardlaw, R., and Sharif, M. (1999). “Evaluation of genetic algorithms for optimal reservoir system operation.” J. Water Resour. Plann. Manage., 25–33.
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Published In
Journal of Irrigation and Drainage Engineering
Volume 140 • Issue 11 • November 2014
Copyright
© 2014 American Society of Civil Engineers.
History
Received: Dec 19, 2013
Accepted: Apr 2, 2014
Published online: Jun 3, 2014
Published in print: Nov 1, 2014
Discussion open until: Nov 3, 2014
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