Multi-layer Decentralized MPC of Large-scale Networked Systems

Ocampo‐Martínez, Carlos; Puig, Vicenç; Grosso, Juan Manuel; Montes-de-Oca, S.

doi:10.1007/978-94-007-7006-5_31

Cited by 20 publications

(18 citation statements)

References 13 publications

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“…Distributed MPC has been studied for different applications including control and coordination of power systems [52,64] and urban traffic control [65]. Decentralized and distributed MPC strategies have also been studied in water related applications such as level control in tanks [66] and coordination in water supply networks [67,68,69]. A review of different distributed MPC configurations and future research directions in this field can be found in [70].…”

Section: Model Predictive Control (Mpc)mentioning

confidence: 99%

Modeling and real-time control of urban drainage systems: A review

Garcia¹,

Barreiro-Gómez

Escobar³

et al. 2015

Advances in Water Resources

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197

113

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Urban drainage systems (UDS) may be considered large-scale systems given their large number of associated states and decision actions, making challenging their real-time control (RTC) design. Moreover, the complexity of the dynamics of the UDS makes necessary the development of strategies for the control design. This paper reviews and discusses several techniques and strategies commonly used for the control of UDS. Moreover, the models to describe, simulate, and control the transport of wastewater in UDS are also reviewed.

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Section: Model Predictive Control (Mpc)mentioning

confidence: 99%

Modeling and real-time control of urban drainage systems: A review

Garcia¹,

Barreiro-Gómez

Escobar³

et al. 2015

Advances in Water Resources

Self Cite

197

113

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“…On the other hand, centralized and decentralized control approaches are not in the scope of this manuscript. However, comparisons and discussions in that sense over the Barcelona DWN case study have been already carried out [43], [44]. Table II summarizes the obtained control results in terms of performance (water and electrical cost) over four days of typical demand.…”

Section: A Results With the Barcelona Dwnmentioning

confidence: 99%

Application of predictive control strategies to the management of complex networks in the urban water cycle [Applications of Control]

et al. 2013

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The management of the urban water cycle (UWC) is a subject of increasing interest because of its social, economic and environmental impact. The most important issues include the sustainable use of limited resources and the reliability of service to consumers with adequate quality and pressure levels, as well as the urban drainage management to prevent flooding and polluting discharges to the environment.Climate change is expected to produce regional changes in water availability in the 21st century. For example, Northern and Southern Europe are expected to experience, respectively, an increase and a decrease in mean precipitation, as well as an increase in the magnitude and frequency of extreme events [1]. These changes will have direct consequences through impacts on the availability and quality of water in the water cycle. Optimal management strategies for the systems in the water cycle can contribute to reduce the vulnerability of urban water systems (UWS) to climatic variability and change.An UWC is mainly comprised of the following systems: (i) Supply/production: water supply from superficial or underground sources and treatment to achieve necessary quality levels, (ii) transport networks, which use natural or artificial open-flow channels and/or pressurized conduits to deliver water from the treatment plants to the consumer areas, (iii) water distribution to consumers, involving pressurized pipeline networks, storage tanks, booster pumps and pressure/flow control valves, (iv) urban drainage and sewer systems carrying waste-and rain water together to wastewater treatment plants (WWTP), before returning it to the receiving environment. In urban environments, drinking water is provided by means of a drinking water network (DWN) to consumers and industry, and sanitation/urban drainage is achieved through a sewer network (SN). In a large number of cities, DWNs are managed using telemetry and telecontrol systems which provide, in real time, pressure, flow, quality and other measurements at several key locations within the network. Flow, pressure and storage control elements are operated from a central dispatch in a centralized or decentralized scheme.In some cases, advanced urban drainage systems also include sewage control infrastructure, such as detention tanks, pumps, gates and weirs. All these elements are monitored and controlled by using telemetry/telecontrol systems, which involve rain-gauge networks, wastewater level and/or flow meters in the sewers and actuators at the valves, pumps and weirs, a communication network, and monitory and control software. The control system manages the flows and the storage in the network in order to minimize the risk of untreated water overflows to the streets or to the receiving environment.The use of optimal control for managing water systems to achieve energy efficiency, cost minimization and environmental protection is summarized in this article. Applying optimal control concepts to water systems requires the development of control-oriented dynamic models to represent...

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“…Some of these elements follow the description reported in [15] for flow networks, but will be included here for the proper completeness of the discussion.…”

Section: Control-oriented Modeling Methodologymentioning

confidence: 99%

Model Predictive Control for Combined Water Supply and Navigability/Sustainability in River Systems

Puig

Ocampo‐Martínez

Negenborn

2015

Operations Research/Computer Science Interfaces Series

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In this chapter, a methodology for the optimal management of combined water supply and navigability/sustainability in river systems based on model predictive control (MPC) is proposed. A control-oriented modeling methodology for this type of systems is presented as well. MPC is used to generate flow-control strategies from the sources to both the farmers and urban consumers in order to meet future demands with appropriate flows, optimizing operational goals such as network safety volumes in dams and smooth operations of actuators (valves, gates and pumps). At the same time, the generated flow-control strategies should allow maintaining the appropriate river water levels that, in turn, allows to preserve the ecological flows and the navigability of the downstream part of the river. The case study of the Guadiana river is used to show and verify the proposed optimal management methodology.

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Multi-layer Decentralized MPC of Large-scale Networked Systems

Cited by 20 publications

References 13 publications

Modeling and real-time control of urban drainage systems: A review

Modeling and real-time control of urban drainage systems: A review

Application of predictive control strategies to the management of complex networks in the urban water cycle [Applications of Control]

Model Predictive Control for Combined Water Supply and Navigability/Sustainability in River Systems

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