Publication
Combining model predictive control with constraint-satisfaction formulation for the operative pumping control in water networks
Conference Article
Conference
Computing and Control for the Water Industry Conference (CCWI)
Edition
13th
Pages
963-972
Doc link
http://dx.doi.org/10.1016/j.proeng.2015.08.982
File
Authors
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Sun, Congcong
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Morley, Mark
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Savic, Dragan
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Puig Cayuela, Vicenç
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Cembrano Gennari, Gabriela
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Zhang, Zheng
Projects associated
Abstract
This paper proposes a method to combine linear Model Predictive Control (MPC), a Constraint Satisfaction Problem (CSP)formulation and a Network Aggregation Method (NAM) for the predictive operational control of water pumping in DWNs. The proposed method can produce optimal pumping strategies for complex DWNs in short computation times, while avoiding the need for non-linear programming techniques to cater for non-linear flow-head equations. The proposed approach is simulated using Epanet to represent the hydraulic DWNs. The D-Town benchmark water network is used as a case study.
Categories
control system analysis, predictive control.
Author keywords
linear MPC, CSP, DWNs, NAM, Epanet
Scientific reference
C. Sun, M. Morley, D. Savic, V. Puig, G. Cembrano and Z. Zhang. Combining model predictive control with constraint-satisfaction formulation for the operative pumping control in water networks, 13th Computing and Control for the Water Industry Conference, 2015, Leicester, Vol 119 of Procedia Engineering, pp. 963-972, Elsevier.
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