IDEAS home Printed from https://ideas.repec.org/a/spr/joptap/v157y2013i1d10.1007_s10957-012-0173-8.html
   My bibliography  Save this article

A Common Regularization for Three Reservoir Optimal Control Problems

Author

Listed:
  • H. X. Phu

    (Vietnam Academy of Science and Technology)

  • H. G. Bock

    (University of Heidelberg)

Abstract

Four optimal control problems of reservoir release are investigated. The first problem is to minimize the peak release in order to prevent flood and to reduce the flood height. The second problem is to maximize the lowest release in order to ensure irrigation, water supply, shipping and environment downstream. The third problem is to minimize the flooding duration in order to reduce damage to goods, possessions, plants, levees, etc. It is shown that these three problems may possess infinitely many different optimal solutions, but they all have a common optimal solution, which is the unique optimal solution of the fourth problem. Since this unique optimal solution depends continuously on the input data, the fourth problem is well-posed and it can be considered as a common regularization of the three ill-posed problems.

Suggested Citation

  • H. X. Phu & H. G. Bock, 2013. "A Common Regularization for Three Reservoir Optimal Control Problems," Journal of Optimization Theory and Applications, Springer, vol. 157(1), pages 199-228, April.
  • Handle: RePEc:spr:joptap:v:157:y:2013:i:1:d:10.1007_s10957-012-0173-8
    DOI: 10.1007/s10957-012-0173-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10957-012-0173-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10957-012-0173-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. N.C.P. Edirisinghe & E.I. Patterson & N. Saadouli, 2000. "Capacity Planning Model for a Multipurpose Water Reservoir with Target-Priority Operation," Annals of Operations Research, Springer, vol. 100(1), pages 273-303, December.
    2. Chatterjee, Bishu & Howitt, Richard E. & Sexton, Richard J., 1998. "The Optimal Joint Provision of Water for Irrigation and Hydropower," Journal of Environmental Economics and Management, Elsevier, vol. 36(3), pages 295-313, November.
    3. N. Umamahesh & P. Sreenivasulu, 1997. "Technical Communication: Two-Phase Stochastic Dynamic Programming Model for Optimal Operation of Irrigation Reservoir," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 11(5), pages 395-406, October.
    4. S. Arunkumar & K. Chon, 1978. "On Optimal Regulation Policies for Certain Multi-Reservoir Systems," Operations Research, INFORMS, vol. 26(4), pages 551-562, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. KLAUS ABBINK & MOLLER, Lars Christian & SARAH O'HARA, 2005. "The Syr Darya River Conflict: An Experimental Case Study," Discussion Papers 2005-14, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    2. Klaus Abbink & Lars Moller & Sarah O’Hara, 2010. "Sources of Mistrust: An Experimental Case Study of a Central Asian Water Conflict," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 45(2), pages 283-318, February.
    3. Amine Chekireb & Julio Goncalves & Hubert Stahn & Agnes Tomini, 2021. "Private exploitation of the North-Western Sahara Aquifer System," Working Papers halshs-03457972, HAL.
    4. Xie, Yang & Zilberman, David, 2014. "The Economics of Water Project Capacities and Conservation Technologies," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169820, Agricultural and Applied Economics Association.
    5. Xie, Yang & Zilberman, David, 2015. "Water Storage Capacities versus Water Use Efficiency: Substitutes or Complements?," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205439, Agricultural and Applied Economics Association.
    6. Li Chuangang & Ji Changming & Wang Boquan & Liu Minghao & Li Rongbo, 2017. "The Hydropower Station Output Function and its Application in Reservoir Operation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(1), pages 159-172, January.
    7. Dai, C. & Li, Y.P. & Huang, G.H., 2012. "An interval-parameter chance-constrained dynamic programming approach for capacity planning under uncertainty," Resources, Conservation & Recycling, Elsevier, vol. 62(C), pages 37-50.
    8. Li, Y.P. & Huang, G.H. & Nie, S.L. & Chen, X., 2011. "A robust modeling approach for regional water management under multiple uncertainties," Agricultural Water Management, Elsevier, vol. 98(10), pages 1577-1588, August.
    9. Motamed, Mesbah J. & Arriola, Christine & Hansen, James & MacDonald, Stephen, 2013. "Cotton and Hydropower in Central Asia: How Resource Competition Affects Trade," Economic Information Bulletin 262128, United States Department of Agriculture, Economic Research Service.
    10. Xiaona Li & Xiaosheng Wang & Haiying Guo & Weimin Ma, 2020. "Multi-Water Resources Optimal Allocation Based on Multi-Objective Uncertain Chance-Constrained Programming Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(15), pages 4881-4899, December.
    11. Bekchanov, Maksud & Ringler, C. & Bhaduri, A. & Jeuland, M., "undated". "How would the Rogun Dam affect water and energy scarcity in Central Asia?," Papers published in Journals (Open Access) H047222, International Water Management Institute.
    12. Tran, Lap Doc & Schilizzi, Steven & Chalak, Morteza & Kingwell, Ross, 2011. "Optimizing competitive uses of water for irrigation and fisheries," Agricultural Water Management, Elsevier, vol. 101(1), pages 42-51.
    13. Seyed-Mohammad Hosseini-Moghari & Reza Morovati & Mohammad Moghadas & Shahab Araghinejad, 2015. "Optimum Operation of Reservoir Using Two Evolutionary Algorithms: Imperialist Competitive Algorithm (ICA) and Cuckoo Optimization Algorithm (COA)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(10), pages 3749-3769, August.
    14. Stefan Ambec & Joseph Doucet, 2003. "Decentralizing hydro power production," Canadian Journal of Economics, Canadian Economics Association, vol. 36(3), pages 587-607, August.
    15. Yousaf Muhammad & Georg Pflug, 2014. "Stochastic vs deterministic programming in water management: the value of flexibility," Annals of Operations Research, Springer, vol. 223(1), pages 309-328, December.
    16. Xie, Yang & Zilberman, David, 2014. "The Economics of Water Project Capacities under Optimal Water Inventory Management," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt6c24636b, Department of Agricultural & Resource Economics, UC Berkeley.
    17. Alexandre Stamford da Silva & Fernando Campello de Souza, 2008. "The economics of water resources for the generation of electricity and other uses," Annals of Operations Research, Springer, vol. 164(1), pages 41-61, November.
    18. Chant, Lindsay & McDonald, Scott & Verschoor, Arjan, 2004. "The Role of the 1994-95 Coffee Boom in Uganda's Recovery," Conference papers 331235, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    19. Holger Berthold & Holger Heitsch & René Henrion & Jan Schwientek, 2022. "On the algorithmic solution of optimization problems subject to probabilistic/robust (probust) constraints," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 96(1), pages 1-37, August.
    20. Andrieu, L. & Henrion, R. & Römisch, W., 2010. "A model for dynamic chance constraints in hydro power reservoir management," European Journal of Operational Research, Elsevier, vol. 207(2), pages 579-589, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:joptap:v:157:y:2013:i:1:d:10.1007_s10957-012-0173-8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.