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System Identification, Environmental Modelling, and Control System Design pp 403–421Cite as

Real-Time Optimal Control of River Basin Networks

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Abstract

River basins are key components of water supply grids. River basin operators must handle a complex set of objectives including runoff storage, flood control, supply for consumptive use, hydroelectric power generation, silting management, and maintenance of river basin ecology. At present, operators rely on a combination of simulation and optimization tools to help make operational decisions. The complexity associated with this approach, however, makes it unsuitable for real-time (daily or hourly) operation. The consequence is that between longer-term optimized operating points, river basins are largely operated in open loop. This leads to operational inefficiencies most notably wasted water and poor ecological outcomes. This chapter proposes a systematic approach for the real-time operation of entire river basin networks, using optimal control and employing simple low order models.

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Authors and Affiliations

  1. National ICT Australia Ltd, Eveleigh, Australia

    R. Evans, L. Li, N. Okello, M. Pham, W. Qiu & S. K. Saleem

  2. The University of Melbourne, Melbourne, Australia

    I. Mareels

Authors
  1. R. Evans
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  2. L. Li
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  3. I. Mareels
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  4. N. Okello
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  5. M. Pham
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  6. W. Qiu
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  7. S. K. Saleem
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Correspondence to R. Evans .

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Editors and Affiliations

  1. Computer Engineering, RMIT University, Swanston Street 10, Melbourne, 3000, Victoria, Australia

    Liuping Wang

  2. Centre de Recherche en, Automatique de Nancy, Université Nancy I, Vandoeuvre-les-Nancy CX, France

    Hugues Garnier

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© 2012 Springer-Verlag London Limited

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Evans, R. et al. (2012). Real-Time Optimal Control of River Basin Networks. In: Wang, L., Garnier, H. (eds) System Identification, Environmental Modelling, and Control System Design. Springer, London. https://doi.org/10.1007/978-0-85729-974-1_20

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  • DOI: https://doi.org/10.1007/978-0-85729-974-1_20

  • Publisher Name: Springer, London

  • Print ISBN: 978-0-85729-973-4

  • Online ISBN: 978-0-85729-974-1

  • eBook Packages: EngineeringEngineering (R0)

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