Skip to main content

Dynamic Management of Hydropower-Irrigation Systems

  • Chapter
  • First Online:

Part of the book series: Energy Systems ((ENERGY))

Abstract

This chapter compares the performance of static and dynamic management strategies for a water resources system characterized by important hydropower and agricultural sectors. In the dynamic approach, water for crop irrigation is no longer considered as a static asset but is rather allocated so as to maximize the overall benefits taking into account the latest hydrologic conditions and the productivities of other users throughout the basin. The complexity of the decision-making process, which requires the continuous evaluation of numerous trade-offs, calls for the use of integrated hydrologic-economic models. The two water resources allocation problems discussed in this paper are solved using stochastic dual dynamic programming formulations.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Archibald TW, Buchanan CS, McKinnon KIM, Thomas LC (1999) Nested benders decomposition and dynamic programming for reservoir optimisation. J Oper Res Soc 50:468–479

    MATH  Google Scholar 

  • Barrosso L, Fampa M, Kelman R, Pereira M, Lino P (2002) Market power issues in bid-based hydrothermal dispatch. Ann Oper Res 117:247–270

    Article  Google Scholar 

  • Beaumont P (1996) Agricultural and environmental changes in the upper euphrates catchment of turkey and syria and their political and economical implications. Appl Geogr 16:137–157

    Article  Google Scholar 

  • Booker J, Young R (1994) Modeling intrastate and interstate markets for colorado river water resources. J Environ Econ Manage 26:66–87

    Article  MATH  Google Scholar 

  • Castelletti C, de Rigo D, Rizzoli A, Soncini-Sessa R, Weber E (2006) Neuro-dynamic programming for designing water reservoir netwok management policies. Control Eng Pract 15:1031–1038

    Article  Google Scholar 

  • Fleten SE (2000) Portfolio management emphasizing electricity market applications - A stochastic programming approach. NTNU, Trondheim, Norway

    Google Scholar 

  • Gibbons D (1986) The Economic Value of Water. Resources for the Future, Washington, DC, USA

    Google Scholar 

  • Jacobs J, Freeman G, Grygier J, Morton D, Schultz G, Staschus K, Stedinger J (1995) Socrates : A system for scheduling hydroelectric generation under uncertainty. Ann Oper Res 59:99–133

    Article  MATH  MathSciNet  Google Scholar 

  • Johnson S, Stedinger J, Shoemaker J, Li C, Tejada-Guibert A (1993) Numerical solution of continuous-state dynamic programs using linear and spline interpolation. Oper Res 41:484–500

    Article  MATH  Google Scholar 

  • Kall P, Wallace S (1994) Stochastic Programming. Wiley, NY, USA

    MATH  Google Scholar 

  • Kim Y, Palmer R (1997) Value of seasonal flow forecasts in bayesian stochastic programming. J Water Resour Plann Manage 123:327–335

    Article  Google Scholar 

  • Kolars J, Mitchell W (1994) The Euphrates river and the southeast anatolia project. Southern Illinois University Press, Carbondale, USA

    Google Scholar 

  • Kristiansen T (2004) Financial risk management in the hydropower industry using stochastic optimization. AMO-Adv Model Optim 6:17–24

    MATH  MathSciNet  Google Scholar 

  • Labadie JW (2004) Optimal operation of multireservoir systems: State-of-the-art review. J Water Resour Plann Manage 130:93–111

    Article  Google Scholar 

  • Lee J, Labadie J (2007) Stochastic optimization of multireservoir systems via reinforcement learning. Water Resour Res 43, doi:10.1029/2006WR005627

    Article  Google Scholar 

  • Lund J, Isreal M (1995) Water transfers in water resources systems. J Water Resour Plan Manage 121:193–204

    Article  Google Scholar 

  • Mo B, Gjelsvik A, Grundt A (2001) Integrated risk management of hydropower scheduling and contract management. IEEE Trans Power Syst 16:216–221

    Article  Google Scholar 

  • Molle F, Wester P, Hirsch P, Jensena J, Murray-Rust H, Paranjpye V, Pollard S, van der Zaag P (2007) Water for Food, Water for Life: A Comprehensive Assessment of Water Management in Agriculture, Earthscan and Colombo: International Water Management Institute, London, pp. 585–624

    Google Scholar 

  • Pereira M (1989) Optimal stochastic operations of large hydroelectric systems. Electr Power Energy Syst 11:161–169

    Article  Google Scholar 

  • Pereira M, Pinto L (1991) Multi-stage stochastic optimization applied to energy planning. Math Programming 52:359–375

    Article  MATH  MathSciNet  Google Scholar 

  • Rosegrant M, Ringler C, McKinney D, Cai X, Keller A, Donoso G (2000) Integrated economic-hydrologic water modeling at the basin scale: The maipo riverbasin. Agric Econ 24:33–46

    Google Scholar 

  • Scott T, Read E (1996) Modelling hydro reservoir operation in a deregulated electricity market. Int Trans Oper Res 3:243–253

    Article  MATH  Google Scholar 

  • Tejada-Guibert A, Johnson S, Stedinger J (1995) The value of hydrologic information in stochastic dynamic programming models of a multireservoir system. Water Resour Res 31:2571–2579

    Article  Google Scholar 

  • Tilmant A, Kelman R (2007) A stochastic approach to analyze trade-offs and risks associated with large-scale water resources systems. Water Resour Res 43(W06425):doi:10.1029/ 2006WR005,094

    Google Scholar 

  • Tilmant A, Pinte D, Goor Q (2008) Assessing marginal water values in multipurpose multireservoir systems via stochastic programming. Water Resour Res 44(W12431):doi:10.1029/ 2008WR007,024

    Google Scholar 

  • Wallace S, Fleten S (2003) Stochastic programming models in energy. In: Ruszczynski A, Shapiro A (eds) Stochastic programming, Handbooks in operations research and management science, vol. 10. North-Holland

    Google Scholar 

  • Ward F, Michelsen A (2002) The economic value of water in agriculture: concepts and policy applications. Water Policy 4:423–446

    Article  Google Scholar 

  • Ward F, Pulido-Velazquez M (2007) Efficieny, equity, and sustainability in a water quantity-quality optimization model in the rio grande basin. Ecol Econ 66, doi:10.1016/ j.ecolecon.2007.08.018:23–37

    Google Scholar 

  • Ward F, Booker J, Michelsen A (2006) Integrated economic, hydrologic, and institutional analysis of policy responses to mitigate drought impacts in rio grande. J Water Resour Plann Manage 132:488–501

    Article  Google Scholar 

  • Yang M, Read E (1999) A constructive dual dynamic programming for a reservoir model with correlation. Water Resour Res 35:2247–2257

    Article  Google Scholar 

  • Yeh W (1985) Reservoir management and operations models: a state-of-the-art review. Water Resour Res 21:1797–1818

    Article  Google Scholar 

  • Young R (2005) Determining the Economic Value of Water - Concepts and Methods. Resources of the Future, Washington, USA

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to A. Tilmant .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Tilmant, A., Goor, Q. (2010). Dynamic Management of Hydropower-Irrigation Systems. In: Pardalos, P., Rebennack, S., Pereira, M., Iliadis, N. (eds) Handbook of Power Systems I. Energy Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02493-1_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-02493-1_3

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02492-4

  • Online ISBN: 978-3-642-02493-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics