Model Predictive Control for Energy and Leakage Management in Water Distribution Systems

Skworcow, Piotr; Ulanicki, Bogumił; AbdelMeguid, Hossam; Paluszczyszyn, Daniel

doi:10.1049/ic.2010.0416

Cited by 18 publications

(11 citation statements)

References 15 publications

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“…The proposed method is based on formulating and solving an optimisation problem, similarly to Skworcow et al (2009bSkworcow et al ( , 2010. However, in this paper the considered network is of significantly higher complexity compared to our previous work, which required some changes to the modelling approach when the optimisation model is formulated, and resulted in a more general method applicable to a wider range of WDNs.…”

Section: Methodsmentioning

confidence: 99%

“…EPANET input file (inp format), 2. EPANET binary simulation results file (bin format) produced by calling the simulator, 3. time-series files (csv format) describing initial schedules; when the scheduler is employed in an on-line receding-horizon environment (Skworcow et al, 2010), the schedules from the previous time step can be used as an initial condition for the current time step, 4. electricity tariffs (csv format),…”

Section: Methodsmentioning

confidence: 99%

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Pump schedules optimisation with pressure aspects in complex large-scale water distribution systems

Skworcow

Paluszczyszyn

Ulanicki

2014

Drink. Water Eng. Sci.

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Abstract. This paper considers optimisation of pump and valve schedules in complex large-scale water distribution networks (WDN), taking into account pressure aspects such as minimum service pressure and pressuredependent leakage. An optimisation model is automatically generated in the GAMS language from a hydraulic model in the EPANET format and from additional files describing operational constraints, electricity tariffs and pump station configurations. The paper describes in details how each hydraulic component is modelled. To reduce the size of the optimisation problem the full hydraulic model is simplified using module reduction algorithm, while retaining the nonlinear characteristics of the model. Subsequently, a nonlinear programming solver CONOPT is used to solve the optimisation model, which is in the form of Nonlinear Programming with Discontinuous Derivatives (DNLP). The results produced by CONOPT are processed further by heuristic algorithms to generate integer solution. The proposed approached was tested on a large-scale WDN model provided in the EPANET format. The considered WDN included complex structures and interactions between pump stations. Solving of several scenarios considering different horizons, time steps, operational constraints, demand levels and topological changes demonstrated ability of the approach to automatically generate and solve optimisation problems for a variety of requirements.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Pump schedules optimisation with pressure aspects in complex large-scale water distribution systems

Skworcow

Paluszczyszyn

Ulanicki

2014

Drink. Water Eng. Sci.

Self Cite

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“…Real-time control (RTC) of both types of UWC systems has received special attention during the last few years, due to the increasing demand for improved system performance to meet consumer and regulatory needs, often at reduced cost [5], [11]. The main goal to be achieved in DWNs is to reduce pumping costs -for instance, by filling tanks in low tariff periods -while maintaining adequate system pressure to meet fluctuating consumer demands [12]. Similarly, in urban drainage management, the goals are to minimize flooding and combined sewer overflow to the receiving environment (CSO) by controlling flow within the wastewater system, through for example, inline storage [13] or using underground detention tanks, gates and pumps [6], [14].…”

Section: Application Of Predictive Control Strategies To the Managemementioning

confidence: 99%

“…As discussed before, the behavior of some elements depends not only on their own state but also on that of other elements (for example weirs). Therefore, although the controloriented model of the SN can be represented, as in the case of DWNs, by a collection of expressions in (12) and (16), some tank inflows and/or outflows can show discontinuous dynamics. Several approaches have been derived for expressing this control-oriented model.…”

Section: Control-oriented Modelmentioning

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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“…In addition to the methods proposed for reduction in searching space, they showed that use of variable speed pumps can lead to more saving (about 10%) in pumping energy cost in comparison with fixedspeed pumps [17]. Also about pumps operation schedule in water distribution network we can point to the studies of Abdelmeguid (2010), Skworcow (2010), Fiorelli (2012) and Paluszczyszyn (2013) [18][19][20][21].…”

Section: Introductionmentioning

confidence: 98%

Developing New Algorithm (G-JPSO) for Optimal Control of Pumps in Water Distribution Networks

2018

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Abstract:Meta-heuristic methods have been widely used for solving complex problems recently. Among these methods, JPSO is regarded as a promising algorithm. However, in order to achieve more robust performance, the probability to solve the graph-based problems is modified by changing the jumping nature of this algorithm and a new algorithm called G-JPSO is presented which is evaluated by solving Fletcher-Powell function and optimal control of pumps in water distribution network problems. In addition to reduction of electricity cost and the problem limitations such as minimum required pressure in each node, minimum and maximum height of tanks, should also be considered. Moreover, another limitation was performed on the objective function which includes the maximum times of turning the pumps on and off. In order to determine the pumps optimal operation, an optimization-simulation model based on the optimization algorithms G-JPSO and JPSO is developed. This proposed model is used for determination of optimal operation program of Van Zyl distribution network. The comparison carried out between the results of our proposed algorithm and those of the similar algorithms including ant colony, genetic and JPSO shows the high ability of the presented algorithm in finding solutions near the optimal solutions with reasonable computation costs.

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Model Predictive Control for Energy and Leakage Management in Water Distribution Systems

Cited by 18 publications

References 15 publications

Pump schedules optimisation with pressure aspects in complex large-scale water distribution systems

Pump schedules optimisation with pressure aspects in complex large-scale water distribution systems

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

Developing New Algorithm (G-JPSO) for Optimal Control of Pumps in Water Distribution Networks

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