Skip to main content
SpringerLink
Log in

Short Term Optimal Operation of Water Supply Reservoir under Flood Control Stress using Model Predictive Control

  • Published:
Water Resources Management Aims and scope Submit manuscript

Abstract

Reservoir operations require enhanced operating procedures for water systems under stress attributed to growing water demand and consequences of changing hydro-climatic conditions. This study focuses on the management of the Yuvacik Dam Reservoir for water supply and flood mitigation in the Marmara Region of Turkey. We present an improved operating technique for fulfilling the conflicting water supply and flood mitigation objectives. This is accomplished by incorporating the long term water supply objectives into a Guide Curve (GC) whereas the extreme floods are attenuated by means of short-term optimization based on Model Predictive Control (MPC). The reference case implements operating rules with a constant GC at maximum forebay elevation targeting the fulfillment of the water supply objective. We compare the reference with a new time-dependent GC, derived using an Implicit Stochastic Optimization (ISO) approach. This new curve shows nearly the same performance regarding the water supply objectives, but significantly reduces the flooding risk downstream of the dam. Possible flood events observed at the end of the wet season, when the reservoir is at the maximum level to enable water supply for the dry season, can be eliminated by the application of an additional short-term optimization by MPC. The robustness of the approach is demonstrated via hindcasting experiments.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  • Agarwal A, Angeles MSD, Bhatia R et al (2000) Integrated water resources management. Technical advisory committee background papers, 4. Global water partnership, Stockholm

    Google Scholar 

  • Anghileri D, Voisin N, Castelletti A, Pianosi F, Nijssen B, Lettenmaier DP (2016) Value of long-term streamflow forecasts to reservoir operations for water supply in snow-dominated river catchments. Water Resour Res 52(6):4209–4225

    Article  Google Scholar 

  • Bellman R (1957) A Markovian decision process. Indiana Univ Math J 6:679–684

    Article  Google Scholar 

  • Blanco TB, Willems P, Chiang PK, Haverbeke N, Berlamont J, De Moor B (2010) Flood regulation using nonlinear model predictive control. Control Eng Pract 18(10):1147–1157

    Article  Google Scholar 

  • Brookfield AE, Gnau C (2016) Optimizing water management for irrigation under climate uncertainty: evaluating operational and structural alternatives in the lower Republican River basin, Kansas, USA. Water Resour Manag 30(2):607–622

    Article  Google Scholar 

  • Ding Y, Wang SS (2006) Optimal control of open-channel flow using adjoint sensitivity analysis. J Hydraul Eng 132(11):1215–1228

    Article  Google Scholar 

  • Döll P, Jiménez-Cisneros B, Oki T et al (2015) Integrating risks of climate change into water management. Hydrol Sci J 60(1):4–13

    Article  Google Scholar 

  • Fan FM, Schwanenberg D, Alvarado R et al (2016) Performance of deterministic and probabilistic hydrological forecasts for the short-term optimization of a tropical hydropower reservoir. Water Resour Manag 30(10):3609–3625

    Article  Google Scholar 

  • Ficchì A, Raso L, Dorchies D et al (2015) Optimal operation of the multireservoir system in the Seine River basin using deterministic and ensemble forecasts. J Water Res Pl 142(1):05015005

    Article  Google Scholar 

  • Giorgi F, Im ES, Coppola E, Diffenbaugh NS, Gao XJ, Mariotti L, Shi Y (2011) Higher hydroclimatic intensity with global warming. J Clim 24(20):5309–5324

    Article  Google Scholar 

  • Goubanova K, Li L (2007) Extremes in temperature and precipitation around the Mediterranean basin in an ensemble of future climate scenario simulations. Glob Planet Chang 57(1):27–42

    Article  Google Scholar 

  • Horváth K, Galvis E, Valentín MG, Rodellar J (2015) New offset-free method for model predictive control of open channels. Control Eng Pract 41:13–25

    Article  Google Scholar 

  • Labadie JW (2004) Optimal operation of multireservoir systems: state-of-the-art review. J Water Res Pl 130(2):93–111

    Article  Google Scholar 

  • Li X, Guo S, Liu P, Chen G (2010) Dynamic control of flood limited water level for reservoir operation by considering inflow uncertainty. J Hydrol 391(1):124–132

    Article  Google Scholar 

  • Li Y, Guo S, Guo J, Wang Y, Li T, Chen J (2014) Deriving the optimal refill rule for multi-purpose reservoir considering flood control risk. J Hydro-Environ Res 8(3):248–259

    Article  Google Scholar 

  • Liu P, Li L, Guo S, Xiong L, Zhang W, Zhang J, CY X (2015) Optimal design of seasonal flood limited water levels and its application for the three gorges reservoir. J Hydrol 527:1045–1053

    Article  Google Scholar 

  • Montero RA, Schwanenberg D, Hatz M, Brinkmann M (2013) Simplified hydraulic modelling in model predictive control of flood mitigation measures along rivers. J Appl Water Eng Res 1(1):17–27

    Article  Google Scholar 

  • Morari M, Lee JH (1999) Model predictive control: past, present and future. Comput Chem Eng 23(4):667–682

    Article  Google Scholar 

  • Ouyang S, Zhou J, Li C, Liao X, Wang H (2015) Optimal design for flood limit water level of cascade reservoirs. Water Resour Manag 29(2):445–457

    Article  Google Scholar 

  • Raso L (2013) Optimal control of water systems under forecast uncertainty: robust, proactive, and integrated. Delft University of Technology, Dissertation

    Google Scholar 

  • Schwanenberg D, Xu M, Ochterbeck T, Allen C, Karimanzira D (2014) Short-term management of hydropower assets of the Federal Columbia River power system. J Appl Water Eng Res 2(1):25–32

    Article  Google Scholar 

  • Schwanenberg D, Becker BPJ, Xu M (2015a) The open real-time control (RTC)-tools software framework for modeling RTC in water resources systems. J Hydroinf 17(1):130–148

    Article  Google Scholar 

  • Schwanenberg D, Fan FM, Naumann S, Kuwajima JI, Montero RA, Dos Reis AA (2015b) Short-term reservoir optimization for flood mitigation under meteorological and hydrological forecast uncertainty. Water Resour Manag 29(5):1635–1651

    Article  Google Scholar 

  • Uysal G, Şensoy A, Şorman AA, Akgün T, Gezgin T (2016) Basin/reservoir system integration for real time reservoir operation. Water Resour Manag 30(5):1653–1668

    Article  Google Scholar 

  • Valeriano S, Oliver C, Koike T et al (2010) Decision support for dam release during floods using a distributed biosphere hydrological model driven by quantitative precipitation forecasts. Water Resour Res 46(10):W10544

  • Van Overloop PJ (2006) Model predictive control on open water systems. IOS Press, Delft

    Google Scholar 

  • Wächter A, Biegler LT (2006) On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming. Math Program 106(1):25–57

    Article  Google Scholar 

  • Wahlin BT, Clemmens AJ (2006) Automatic downstream water-level feedback control of branching canal networks: theory. J Irrig Drain E 132(3):198–207

    Article  Google Scholar 

  • Yun R, Singh VP (2008) Multiple duration limited water level and dynamic limited water level for flood control, with implications on water supply. J Hydrol 354(1):160–170

    Article  Google Scholar 

Download references

Acknowledgements

The first author would like to thank The Scientific and Technological Research Council of Turkey (TUBITAK) for the scholarship (2214A program). This study is also supported by Anadolu University BAP-1506F502 and partly supported by TUBITAK 109Y218 projects. Graphs are prepared by Daniel’s XL Toolbox and MATLAB 2012a (License number: 991708).

Author information

Authors and Affiliations

  1. Institute of Hydraulic Engineering and Water Resources Management, Department of Civil Engineering, University of Duisburg-Essen, 45141, Essen, Germany

    Gökçen Uysal, Dirk Schwanenberg & Rodolfo Alvarado-Montero

  2. Department of Civil Engineering, Anadolu University, 26555, Eskişehir, Turkey

    Gökçen Uysal & Aynur Şensoy

  3. KISTERS AG, 52076, Aachen, Germany

    Dirk Schwanenberg

Authors
  1. Gökçen Uysal
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Dirk Schwanenberg
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Rodolfo Alvarado-Montero
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Aynur Şensoy
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Gökçen Uysal.

Electronic supplementary material

Online Resource 1

Observed forebay elevation vs. inflows and outflows (demands and spillages) (GIF 81 kb)

High resolution image (TIFF 1789 kb)

Online Resource 2

Flood scenario and perturbed flood scenarios (GIF 68 kb)

High resolution image (TIFF 1842 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Uysal, G., Schwanenberg, D., Alvarado-Montero, R. et al. Short Term Optimal Operation of Water Supply Reservoir under Flood Control Stress using Model Predictive Control. Water Resour Manage 32, 583–597 (2018). https://doi.org/10.1007/s11269-017-1828-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11269-017-1828-x

Keywords

Search

Navigation