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arXiv · 2009.01298

How Effective is Model Predictive Control in Real-Time Water Quality Regulation? State-Space Modeling and Scalable Control

Shen Wang·Ahmad F. Taha·Ahmed A. Abokifa
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Abstract

Real-time water quality control (WQC) in water distribution networks (WDN), the problem of regulating disinfectant levels, is challenging due to lack of (i) a proper control-oriented modeling considering complicated components (junctions, reservoirs, tanks, pipes, pumps, and valves) for water quality modeling in WDN and (ii) a corresponding scalable control algorithm that performs real-time water quality regulation. In this paper, we solve the WQC problem by (a) proposing a novel state-space representation of the WQC problem that provides an explicit relationship between inputs (chlorine dosage at booster stations) and states/outputs (chlorine concentrations in the entire network) and (b) designing a highly scalable model predictive control (MPC) algorithm that showcases fast response time and resilience against some sources of uncertainty.

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Shen Wang, Ahmad F. Taha, Ahmed A. Abokifa. 2020-09-02. How Effective is Model Predictive Control in Real-Time Water Quality Regulation? State-Space Modeling and Scalable Control. https://doi.org/10.1029/2020wr027771

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