Technical Papers
Feb 6, 2020

Real-Time Operation of Water-Supply Canal Systems under Limited Electrical Power and/or Water Availability

Publication: Journal of Water Resources Planning and Management
Volume 146, Issue 4

Abstract

Water-supply systems (WSSs) and electrical power systems (EPSs) are highly interdependent critical infrastructures. The electrical energy required for pumping in WSSs and cooling water required for power plants in EPSs are major interdependencies. Failure of either of the two independently operated infrastructures can lead to a cascading failure of both the systems. A combined operations control methodology for WSSs and EPSs taking into consideration the inherent interdependencies is required to ensure reliable operations. An optimization-simulation model is presented for the real-time operation of water-supply canal systems (WSCSs) under critical conditions during short-term and long-term emergency events such as limited electrical energy and/or limited water availability, electrical grid failures, extreme droughts, or other severe conditions related to natural and manmade disasters. WSCSs are used for the conveyance of raw water from sources such as lakes, reservoirs, or rivers to water treatment plants that supply treated water to consumers through water distribution systems (WDSs). The approach interfaces the optimization-simulation model for WSCSs with an optimization-simulation model for WDSs to provide for a comprehensive decision-making tool for the control of WSCSs and WDSs. Two WSCSs optimization methodologies are presented including a nonlinear programming approach and an optimization-simulation approach that interfaces a genetic algorithm (MATLAB) with the US Army Corps of Engineers Hydraulic Engineering Center’s (HEC) River Analysis System (HEC-RAS) simulation model. A steady-state analysis of the WSCSs is performed for each time period of operation. The new methodologies for determining pump and gate operations under limited power and/or water availability are illustrated using two example canal systems.

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Data Availability Statement

Some or all data, models, or code generated or used during the study are available from the corresponding author by request.

Acknowledgments

This research is supported by US National Science Foundation (NSF) Project 029013-0010. CRISP Type 2—Resilient Cyber-Enabled Electric Energy and Water Infrastructures Modeling and Control Under Extreme Drought.

References

Aisenbrey, A. J., R. Hayes, H. J. Warren, D. K. Winsett, and R. B. Young. 1978. Design of small canal structures. Denver: US Dept. of the Interior, Bureau of Reclamation.
Brooke, A., D. Kendrick, A. Meeraus, and R. Raman. 2005. GAMS, a user’s guide. Washington, DC: GAMS Development Corporation.
Brunner, G. W. 2010. HEC-RAS river Analysis system: Hydraulic reference manual. Davis, CA: Hydrologic Engineering Center.
Buyalski, C. P., D. G. Ehler, H. T. Falvey, D. C. Rogers, and E. A. Serfozo. 1991. Canal systems automation manual: Volume 1. Denver: US Dept. of the Interior.
Chipperfield, A., P. Fleming, H. Pohlheim, and C. Fonseca. 1994. Genetic algorithm toolbox for use with MATLAB. Natick, MA: Mathworks.
Clemmens, A. J. 2006. “Canal automation.” Resour. Mag. 13 (1): 7–8. https://doi.org/10.1201/NOE0849396274.ch22.
Eden, S., C. A. Scott, M. L. Lamberton, and S. B. Megdal. 2011. “Water-energy interdependencies and the Central Arizona project.” In The water-energy Nexus in the American west, edited by D. S. Kenney and R. Wilkinson, 109–122. Williston, ND: Edward Elgar Publishing.
Gómez, M., J. Rodellar, and J. A. Mantecón. 2002. “Predictive control method for decentralized operation of irrigation canals.” Appl. Math. Modell. 26 (11): 1039–1056. https://doi.org/10.1016/S0307-904X(02)00059-8.
Goodell, C., and G. Brunner. 2014. Breaking the HEC-RAS Code: A user’s guide to automating HEC-RAS. Portland, OR: H2ls Publishing.
Khatavkar, P., and L. W. Mays. 2018. “Model for real-time operations of water distribution systems under limited electrical power availability with consideration of water quality.” J. Water Resour. Plann. Manage. 144 (11): 04018071. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001000.
Lamberton, M., D. Newman, S. Eden, and J. Gelt. 2010. “The water-energy nexus.” In Arroyo, 1–12. Tucson, AZ: Univ. of Arizona.
Lin, Z., and D. H. Manz. 1992. “Optimal operation of irrigation canal systems using nonlinear programming-dynamic simulation model.” In Vol. 1 of Proc., CEMAGREF-IIMI Int. Workshop, 297–306. Colombo, Sri Lanka: International Water Management Institute.
Malaterre, P. O., and J. P. Baume. 1998. “Modeling and regulation of irrigation canals: Existing applications and ongoing researches.” In Vol. 4 of Proc., IEEE Int. Conf. on Systems, Man and Cybernetics, 3850–3855. New York: IEEE.
Mareels, I., E. Weyer, S. K. Ooi, M. Cantoni, Y. Li, and G. Nair. 2005. “Systems engineering for irrigation systems: Successes and challenges.” Ann. Rev. Control 29 (2): 191–204. https://doi.org/10.1016/j.arcontrol.2005.08.001.
Murtagh, B. A., and M. A. Saunders. 1982. “A projected Lagrangian algorithm and its implementation for sparse nonlinear constraints.” In Algorithms for constrained minimization of smooth nonlinear functions, 84–117. Berlin: Springer.
Pongput, K., and G. P. Merkley. 1997. “Comparison and calibration of canal gate automation algorithms.” J. Irrig. Drain. Eng. 123 (3): 222–225. https://doi.org/10.1061/(ASCE)0733-9437(1997)123:3(222).
Reddy, J. M., A. Dia, and A. Oussou. 1992. “Design of control algorithm for operation of irrigation canals.” J. Irrig. Drain. Eng. 118 (6): 852–867. https://doi.org/10.1061/(ASCE)0733-9437(1992)118:6(852).
Scott, C. A., S. A. Pierce, M. J. Pasqualetti, A. L. Jones, B. E. Montz, and J. H. Hoover. 2011. “Policy and institutional dimensions of the water–energy nexus.” Energy Policy 39 (10): 6622–6630. https://doi.org/10.1016/j.enpol.2011.08.013.
Soman, B. J., and R. W. Hill. 1989. “LP operation model for on-demand canal systems.” J. Irrig. Drain. Eng. 115 (4): 687–700. https://doi.org/10.1061/(ASCE)0733-9437(1989)115:4(687).
Wahlin, B. T. 2004. “Performance of model predictive control on ASCE test canal 1.” J. Irrig. Drain. Eng. 130 (3): 227–238. https://doi.org/10.1061/(ASCE)0733-9437(2004)130:3(227).
Wahlin, B. T., and E. Batista. 2003. “Feedforward control: Volume compensation versus model predictive control.” In Vol. 1 of Proc., 2nd Int. Conf. on Irrigation and Drainage, Water for a Sustainable World-Limited Supplies and Expanding Demand, 487–496. Denver: United States Society for Irrigation and Drainage Professionals.
Young, B. 2017. “Power is key to reliable water deliveries.” Accessed January 18, 2017. https://www.cap-az.com/public/blog/596-power-is-key-to-reliable-water-deliveries.

Information & Authors

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Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 146Issue 4April 2020

History

Received: Dec 11, 2018
Accepted: Oct 7, 2019
Published online: Feb 6, 2020
Published in print: Apr 1, 2020
Discussion open until: Jul 6, 2020

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Authors

Affiliations

Water Resources Engineer, Stantec Consulting Services Inc., 3301 C St., Suite 1900, Sacramento, CA 95816. ORCID: https://orcid.org/0000-0002-6945-820X. Email: [email protected]
Larry W. Mays, F.ASCE [email protected]
Professor, School of Sustainable Engineering and the Built Environment, Arizona State Univ., Tempe, AZ 85257-5306 (corresponding author). Email: [email protected]

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