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Combine Evolutionary Optimization with Model Predictive Control in Real-time Flood Control of a River System

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  • Po-Kuan Chiang
  • Patrick Willems

Abstract

In order to establish successful flood control strategies to prevent or alleviate severe flood damages, real-time optimization-based control can be a supplementary strategy, besides setting operating rules (regulations) for the hydraulic structures. This research combines evolutionary optimization, by means of a Genetic Algorithm (GA), with the Model Predictive Control (MPC) technique to develop and test a real-time flood control method for the 12 gated weirs in the Belgian case study of the river Demer. The evolution of this method is also the main contribution of this study. The combination of GA with MPC allows coping with the highly nonlinear system behaviour and local minimum problems. The system searches for better control actions by minimizing a cost function while at the same time avoiding violation of the defined constraints. The optimization results testify that the system is able to assist the current regulation strategies that are based on fixed regulation rules (three-position controller). Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Po-Kuan Chiang & Patrick Willems, 2015. "Combine Evolutionary Optimization with Model Predictive Control in Real-time Flood Control of a River System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(8), pages 2527-2542, June.
    • Handle: RePEc:spr:waterr:v:29:y:2015:i:8:p:2527-2542
    DOI: 10.1007/s11269-015-0955-5
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    References listed on IDEAS

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    1. Dilini Delgoda & Syed Saleem & Malka Halgamuge & Hector Malano, 2013. "Multiple Model Predictive Flood Control in Regulated River Systems with Uncertain Inflows," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(3), pages 765-790, February.
    2. D. Kumar & M. Reddy, 2006. "Ant Colony Optimization for Multi-Purpose Reservoir Operation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 20(6), pages 879-898, December.
    3. J. Yazdi & S. Salehi Neyshabouri, 2012. "A Simulation-Based Optimization Model for Flood Management on a Watershed Scale," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(15), pages 4569-4586, December.
    4. Kan Yang & Jiao Zheng & Min Yang & Ran Zhou & Guoshuai Liu, 2013. "Adaptive Genetic Algorithm for Daily Optimal Operation of Cascade Reservoirs and its Improvement Strategy," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(12), pages 4209-4235, September.
    5. Po-Kuan Chiang & Patrick Willems, 2013. "Model Conceptualization Procedure for River (Flood) Hydraulic Computations: Case Study of the Demer River, Belgium," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(12), pages 4277-4289, September.
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    Cited by:

    1. Daniel Che & Larry Mays, 2015. "Development of an Optimization/Simulation Model for Real-Time Flood-Control Operation of River-Reservoirs Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(11), pages 3987-4005, September.
    2. Gokmen Tayfur, 2017. "Modern Optimization Methods in Water Resources Planning, Engineering and Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(10), pages 3205-3233, August.
    3. 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.
    4. Chen Chen & Yanbin Yuan & Xiaohui Yuan, 2017. "An Improved NSGA-III Algorithm for Reservoir Flood Control Operation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(14), pages 4469-4483, November.

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