A hierarchical distributed model predictive control approach to irrigation canals: A risk mitigation perspective

Zafra-Cabeza, Ascensión; Maestre, J. M.; Ridao, Miguel A.; Camacho, Eduardo F.; Asensio, Laura

doi:10.1016/j.jprocont.2010.12.012

Cited by 77 publications

(28 citation statements)

References 16 publications

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“…The third, termed the error updating problem, refers to using DA to revise the predictions of an error model representing the difference between the hydrologic forecasts and corresponding observations. These three types of DA problems are not mutually exclusive since a forecasting system can utilize any combination (see e.g., Young, 2002;Moradkhani et al, 2005b). The focus here is largely on the first and third types, while referring the readers to the vast literature on calibration for the second type (e.g., Beven and Binley, 1992;Vrugt et al, 2003).…”

Section: Theoretical Aspectsmentioning

confidence: 99%

Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities

Liu

Weerts²,

Clark³

et al. 2012

Hydrol. Earth Syst. Sci.

386

296

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Abstract. Data assimilation (DA) holds considerable potential for improving hydrologic predictions as demonstrated in numerous research studies. However, advances in hydrologic DA research have not been adequately or timely implemented in operational forecast systems to improve the skill of forecasts for better informed real-world decision making. This is due in part to a lack of mechanisms to properly quantify the uncertainty in observations and forecast models in real-time forecasting situations and to conduct the merging of data and models in a way that is adequately efficient and transparent to operational forecasters.The need for effective DA of useful hydrologic data into the forecast process has become increasingly recognized in recent years. This motivated a hydrologic DA workshop in Delft, the Netherlands in November 2010, which focused on advancing DA in operational hydrologic forecasting and water resources management. As an outcome of the workshop, this paper reviews, in relevant detail, the current status of DA applications in both hydrologic research and operational practices, and discusses the existing or potential hurdles and challenges in transitioning hydrologic DA research into cost-effective operational forecasting tools, asPublished by Copernicus Publications on behalf of the European Geosciences Union. Y. Liu et al.: Advancing data assimilation in operational hydrologic forecastingwell as the potential pathways and newly emerging opportunities for overcoming these challenges. Several related aspects are discussed, including (1) theoretical or mathematical aspects in DA algorithms, (2) the estimation of different types of uncertainty, (3) new observations and their objective use in hydrologic DA, (4) the use of DA for real-time control of water resources systems, and (5) the development of community-based, generic DA tools for hydrologic applications. It is recommended that cost-effective transition of hydrologic DA from research to operations should be helped by developing community-based, generic modeling and DA tools or frameworks, and through fostering collaborative efforts among hydrologic modellers, DA developers, and operational forecasters.

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Section: Theoretical Aspectsmentioning

confidence: 99%

Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities

Liu

Weerts²,

Clark³

et al. 2012

Hydrol. Earth Syst. Sci.

386

296

View full text Add to dashboard Cite

show abstract

“…As it has been said, MPC requires a model of the system being controlled to predict its behavior over the prediction horizon. For control purposes, it is common to use the IntegratorDelay (ID) model for canal pools Xu et al 2011;Zafra-Cabeza et al 2011). The ID model separates a canal pool into a uniform flow, with the property delay time, and a backwater section with the property storage area.…”

Section: Mpc With Differential Water Level Errorsmentioning

confidence: 99%

“…In fact, significant changes in the traditional design and operation of irrigation canals are necessary to achieve higher levels of efficiency and fairness. In this context, part of the studies focus on modelling potential designs for the canals (Ghumman et al 2012;Rezapour Tabari et al 2014;van Overloop et al 2008van Overloop et al , 2010a; other studies are focused on the application of modern operational techniques in the canals (Bhadra et al 2010;Fele et al 2014;Feyen and Liu 1991;Reddy 1991;Sadowska et al 2014;Tariq and Latif 2010;van Overloop et al 2014;Zafra-Cabeza et al 2011).…”

Section: Introductionmentioning

confidence: 99%

Equitable Water Distribution in Main Irrigation Canals with Constrained Water Supply

Shahdany

Maestre

Overloop

2015

Water Resour Manage

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In this study a novel configuration of the Water Level Difference Error method is introduced to speed up the error sharing in the context of Model Predictive Control (MPC). The potential application of the controller is examined. The main objective of this controller is fair distribution of water between upstream and downstream users in main canals suffering from water shortages. The scheme uses the Integrator-Delay (ID) model for canal pool responses in a model predictive controller. The designed controller is tested on an accurate simulation model of a large canal system, using four test scenarios. The scenarios suffer from limited water supply conditions that are imposed by a limitation on the canal inflow. The results show fast reactions in equitable sharing of water level deviations from target throughout the canal. Since, all the pools are involved in optimally managing the water shortage, significant improvements in operational performance of the canal are achieved. In addition, the operational performance of the designed controller is remarkably improved by applying a new strategy of target-bands instead of targetlevels in the canal pools as it increases the flexibility of the controller in making appropriate decisions.Keywords Canal automation . Model predictive control . Water level difference error . Fair water distribution Water Resour Manage

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“…The way the centralized problem is distributed and the type and amount of information that the local controllers (also called agents) exchange before attaining a solution to the overall control problem depend on the particular DMPC algorithm used (see for surveys on this topic). Being a natural approach to cope with the control of large‐scale systems, DMPC schemes have been proposed for the control of hydro‐power networks as well as for other systems with similar dynamics, for example, irrigation canals . For example, in , DMPC with downstream communication is used to control a cascade of river power plants, and the benefits of the communication are shown via a comparison with the corresponding decentralized MPC scheme.…”

Section: Introductionmentioning

confidence: 99%

A comparison of distributed MPC schemes on a hydro‐power plant benchmark

Maestre

Ridao

Kozma

et al. 2014

Optim Control Appl Methods

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SUMMARYIn this paper, we analyze and compare five distributed model predictive control (DMPC) schemes using a hydro-power plant benchmark. Besides being one of the most important sources of renewable power, hydropower plants present very interesting control challenges. The operation of a hydro-power valley involves the coordination of several subsystems over a large geographical area in order to produce the demanded energy while satisfying constraints on water levels and flows. In particular, we test the different DMPC algorithms using a 24-h power tracking scenario in which the hydro-power plant is simulated with an accurate nonlinear model. In this way, it is possible to provide qualitative and quantitative comparisons between different DMPC schemes implemented on a common benchmark, which is a type of assessment rare in the literature.

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A hierarchical distributed model predictive control approach to irrigation canals: A risk mitigation perspective

Cited by 77 publications

References 16 publications

Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities

Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities

Equitable Water Distribution in Main Irrigation Canals with Constrained Water Supply

A comparison of distributed MPC schemes on a hydro‐power plant benchmark

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