Hierarchical predictive control of integrated wastewater treatment systems

Brdyś, M.; Grochowski, Michał; Gmiński, T.; Konarczak, K.; Drewa, M.

doi:10.1016/j.conengprac.2007.01.008

Cited by 130 publications

(95 citation statements)

References 18 publications

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“…The optimal strategies are computed by optimizing a mathematical function describing the operational goals in a given time horizon and using a representative model of the network dynamics, as well as demand forecasts. As discussed in (Marinaki and Papageorgiou, 2005) (Ocampo-Martínez, 2007) (Brdys et al, 2008), among others, MPC is very suitable to be used in the global control of waste-water networks within a hierarchical control structure. This global control structure is shown in Figure 1, where the The dynamic model of the network may then be written, in discrete time, as:…”

Section: Operational Control Of Water Network Using Model Predictive mentioning

confidence: 99%

Operational Predictive Optimal Control of Barcelona Water Transport Network

Pascual

Romera

Puig

et al. 2011

IFAC Proceedings Volumes

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This paper describes the application of model-based predictive control (MPC) techniques to the supervisory flow management in large-scale drinking water networks including a telemetry/telecontrol system. MPC is used to generate flow control strategies (set-points for the regulatory controllers) from the sources to the consumer areas to meet future demands, optimizing performance indexes associated to operational goals such as economic cost, safety storage volumes in the network and smoothness of the flow control actions. The designed management strategies are applied to a model of a real case study: the drinking water transport network of Barcelona (Spain).

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Section: Operational Control Of Water Network Using Model Predictive mentioning

confidence: 99%

Operational Predictive Optimal Control of Barcelona Water Transport Network

Pascual

Romera

Puig

et al. 2011

IFAC Proceedings Volumes

View full text Add to dashboard Cite

show abstract

“…The optimal strategies are computed by optimizing a mathematical function describing the operational goals in a given time horizon and using a representative model of the network dynamics, as well as demand forecasts. As discussed in (Marinaki and Papageorgiou, 2005) (Ocampo-Martínez, 2008) (Brdys et al, 2008), among others, MPC is very suitable to be used in the global control of networks related to the urban water cycle within a hierarchical control structure. In this global control structure, the MPC determines the references for the local controllers located on different elements of the network.…”

Section: Operational Control Of Water Network Using Model Predictive mentioning

confidence: 99%

PLIO: a generic tool for real-time operational predictive optimal control of water networks

Cembraño

Quevedo²,

Puig³

et al. 2011

Water Science and Technology

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This paper presents a generic tool, named PLIO, that allows to implement the real-time operational control of water networks. Control strategies are generated using predictive optimal control techniques. This tool allows the flow management in a large water supply and distribution system including reservoirs, open-flow channels for water transport, water treatment plants, pressurized water pipe networks, tanks, flow/pressure control elements and a telemetry/telecontrol system. Predictive optimal control is used to generate flow control strategies from the sources to the consumer areas to meet future demands with appropriate pressure levels, optimizing operational goals such as network safety volumes and flow control stability. PLIO allows to build the network model graphically and then to automatically generate the model equations used by the predictive optimal controller. Additionally, PLIO can work off-line (in simulation) and on-line (in real-time mode). The case study of Santiago-Chile is presented to exemplify the control results obtained using PLIO off-line (in simulation).

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“…This is specially the case when a system is composed of subsystems with multiple time scales as the case of the regional water networks. A straightforward task of designing and implementing a single centralized control unit is too difficult as discussed in [2], because the required long prediction horizon and short control time steps might lead to an optimization problem of high dimension and under large uncertainty radius. A way to cope with this problem is to apply a hierarchical control based on decomposing the original control task into a sequence of different, simpler and hierarchically structured subtasks, handled by dedicated control systems operating at different time scales [3].…”

Section: Introductionmentioning

confidence: 99%

Coordinating Model Predictive Control of Transport and Supply Water Systems

Sun

Puig²,

Cembraño

2015

Operations Research/Computer Science Interfaces Series

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Transport and supply water networks are two types of systems which have received a significant amount of attention in the recent years. Issues on how to obtain the best performance for a given transport or supply water systems, or how to coordinate interactions between them are still open and need more research. This chapter presents a hierarchical Model Predictive Control (MPC) scheme with a supervisor that coordinates transport and supply water systems. First, a two-level hierarchical control structure resulting from a functional decomposition of water network is briefly presented. Inside each hierarchy, a MPC controller is used. In the two-level hierarchy, a supervisory coordinating mechanism is used to generate control strategies which consider objectives at different time scales. The first level, in charge of managing the transport system, works in a daily scale in order to achieve the global management policies for the transport over water (e.g., navigation, vessels and barges) in different rivers and balance management of different reservoirs. The second level, in charge of managing the supply system, works in a hourly scale and manipulates actuator (pumps and valves) set-point to satisfy the local water supplying objectives (e.g.,minimizing economic cost, handling emergency storage and smoothing actuator operation). The results of the modelling will be applied to the Catalunya Regional Water Network and based on an aggregate model.

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Hierarchical predictive control of integrated wastewater treatment systems

Cited by 130 publications

References 18 publications

Operational Predictive Optimal Control of Barcelona Water Transport Network

Operational Predictive Optimal Control of Barcelona Water Transport Network

PLIO: a generic tool for real-time operational predictive optimal control of water networks

Coordinating Model Predictive Control of Transport and Supply Water Systems

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