Efficient multi-scenario Model Predictive Control for water resources management with ensemble streamflow forecasts

Advances in Water Resources - Tập 109 - Trang 58-68 - 2017
Xin Tian1, Rudy R. Negenborn2, Peter-Jules van Overloop3, J. M. Maestre4, Anna Sadowska5, Nick van de Giesen6
1School of Hydrometeorology, Nanjing University of Information Science & Technology, Nanjing 210044, China
2Department of Maritime and Transport Technology, Delft University of Technology, Delft 2826 CD, The Netherlands
3Formerly: Department of Water Management, Delft University of Technology, Delft 2826 CD, The Netherlands
4Department of Engineering of Systems and Automatics, University of Seville, Seville 41092, Spain
5Fluid Mechanics department, Schlumberger Gould Research Center, Cambridge CB3 0EL, United Kingdom
6Department of Water Management, Delft University of Technology, Delft 2826 CD, The Netherlands

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Tài liệu tham khảo

Ajami, 2008, Sustainable water resource management under hydrological uncertainty, Water Resour. Res., 44, 10.1029/2007WR006736

Barjas Blanco, 2010, Flood regulation using nonlinear model predictive control, Control Eng. Pract., 18, 1147, 10.1016/j.conengprac.2010.06.005

Borrelli, 2014

Breckpot, 2013

Breckpot, 2013, Flood control with model predictive control for river systems with water reservoirs, J. Irrig. Drain. Eng., 139, 532, 10.1061/(ASCE)IR.1943-4774.0000577

Cagienard, 2007, Move blocking strategies in receding horizon control, J. Process Control, 17, 563, 10.1016/j.jprocont.2007.01.001

Camacho, 1999

Castelletti, 2008, Water reservoir control under economic, social and environmental constraints, Automatica, 44, 1595, 10.1016/j.automatica.2008.03.003

Darby, 2012, MPC: current practice and challenges, Control Eng. Pract., 20, 328, 10.1016/j.conengprac.2011.12.004

Drewa, 2007, Model predictive control of integrated quantity and quality in drinking water distribution systems, IFAC Proc. Vol., 40, 95, 10.3182/20070606-3-MX-2915.00134

Fele, 2014, Coalitional model predictive control of an irrigation canal, J. Process Control, 24, 314, 10.1016/j.jprocont.2014.02.005

Ficchì, 2016, Optimal operation of the multireservoir system in the seine river basin using deterministic and ensemble forecasts, J. Water Resour. Plan. Manag., 142, 05015005, 10.1061/(ASCE)WR.1943-5452.0000571

Galelli, 2014, Optimal real-Time operation of multipurpose urban reservoirs: case study in Singapore, J. Water Resour. Plan. Manag., 140, 511, 10.1061/(ASCE)WR.1943-5452.0000342

García, 2015, Modeling and real-time control of urban drainage systems: a review, Adv. Water Resour., 85, 120, 10.1016/j.advwatres.2015.08.007

Grosso, 2014, Chance-constrained model predictive control for drinking water networks, J. Process Control, 24, 504, 10.1016/j.jprocont.2014.01.010

Grosso, 2016, Stochastic model predictive control approaches applied to drinking water networks, Optim. Control Appl. Methods, 143, 1933

Haasnoot, 2013, Dynamic adaptive policy pathways: a method for crafting robust decisions for a deeply uncertain world, Glob. Environ. Change, 23, 485, 10.1016/j.gloenvcha.2012.12.006

Joseph-Duran, 2014, Hybrid modeling and receding horizon control of sewer networks, Water Resour. Res., 50, 8497, 10.1002/2013WR015119

Katz, 2002, Statistics of extremes in hydrology, Adv. Water Resour., 25, 1287, 10.1016/S0309-1708(02)00056-8

Kouro, 2009, Model predictive control simple and powerful method to control power converters, 56, 1826

Litrico, 2004, Simplified modeling of irrigation canals for controller design, J. Irrig. Drain. Eng., 130, 373, 10.1061/(ASCE)0733-9437(2004)130:5(373)

Loucks, 2005, 51

Maciejowski, 2002

Maestre, 2013, Distributed tree-based model predictive control on a drainage water system, J. Hydroinform., 15, 335, 10.2166/hydro.2012.125

Malaterre, 1998, Classification of canal control algorithms controlled variables, J. Irrig. Drain. Eng., 124, 1, 10.1061/(ASCE)0733-9437(1998)124:1(3)

MATLAB and Statistics Toolbox Release 2014, The MathWorks, Inc., Natick, Massachusetts, United States.

Milman, 2008, A fast MPC algorithm using nonfeasible active set methods, J. Optim. Theory Appl., 139, 591, 10.1007/s10957-008-9413-3

Montanari, 2007, What do we mean by uncertainty’? The need for a consistent wording about uncertainty assessment in hydrology, Hydrol. Process, 21, 841, 10.1002/hyp.6623

Negenborn, 2008, Adaptive prediction model accuracy in the control of residential energy resources, 311

Negenborn, 2009, Distributed model predictive control for irrigation canals, 4, 359

Netherlands Hydrological Society (NHV), 2011. Water in the Netherlands, second ed., The Hague.

van Overloop, 2006

van Overloop, 2008, Multiple model predictive control on a drainage canal system, Control Eng. Pract., 16, 531, 10.1016/j.conengprac.2007.06.002

Qin, 2003, A survey of industrial model predictive control technology, Control Eng. Pract., 11, 733, 10.1016/S0967-0661(02)00186-7

Raso, 2016, Combining short-term and long-term reservoir operation using infinite horizon model predictive control, J. Irrig. Drain. Eng., B4016002

Raso, 2014, Short-term optimal operation of water systems using ensemble forecasts, Adv. Water Resour., 71, 200, 10.1016/j.advwatres.2014.06.009

Richter, 2009, Real-time input-constrained MPC using fast gradient methods, 7387

Sadowska, 2014, Hierarchical operation of water level controllers: formal analysis and application on a large scale irrigation canal, Water Resour. Manag., 28, 4999, 10.1007/s11269-014-0785-x

SOBEK, 2017

Stedinger, 1984, Stochastic dynamic programming models for reservoir operation optimization, Water Resour. Res., 20, 1499, 10.1029/WR020i011p01499

Tian, 2015

Tian, 2014, Operational flood control of a low-lying delta system using large time step model predictive control, Adv. Water Resour., 75, 1, 10.1016/j.advwatres.2014.10.010

Vogel, 2015, Hydrology: the interdisciplinary science of water, Water Resour. Res., 51, 4409, 10.1002/2015WR017049

Walker, 2013, Adapt or perish: a review of planning approaches for adaptation under deep uncertainty, Sustainability, 5, 955, 10.3390/su5030955

Wang, 2010, Fast model predictive control using online optimization, 18, 267

Wilby, 2006, A framework for assessing uncertainties in climate change impacts: Low-flow scenarios for the river thames, UK, Water Resour. Res., 42, 10.1029/2005WR004065

Wright, 1997, Applying new optimization algorithms to model predictive control, 93, 147

Xu, 2013

Xu, 2013, Model reduction in model predictive control of combined water quantity and quality in open channels, Environ. Model. Softw., 42, 72, 10.1016/j.envsoft.2012.12.008