Technical Papers
May 23, 2020

Sequential Convex Optimization for Detecting and Locating Blockages in Water Distribution Networks

Publication: Journal of Water Resources Planning and Management
Volume 146, Issue 8

Abstract

Unreported partially/fully closed valves or other types of pipe blockages in water distribution networks result in unexpected energy losses within the systems, which we also refer to as faults. We investigate the problem of detection and localization of such faults. We propose a novel optimization-based method, which relies on the solution of a nonlinear inverse problem with 1 regularization. We develop a sequential convex optimization algorithm to solve the resulting nonsmooth nonconvex optimization problem. The proposed algorithm enables the use of nonsmooth terms within the problem formulation, and exploits the sparse structure inherent in water network models. The performance of the developed method is numerically evaluated to detect and localize blockages in a large water distribution network using both simulated and experimental data. In all experiments, the sequential convex optimization algorithm converged in less than 3 s, suggesting that the proposed fault detection and localization method is suitable for near real-time implementation. Furthermore, we experimentally validate the developed method for near real-time fault diagnosis in a large operational water network from the United Kingdom. The method is shown to successfully detect and localize blockages, with real system modeling uncertainties.

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Data Availability Statement

The hydraulic data and model of BWFLnet used during the study are available in a repository in accordance with funder data retention policies: https://doi.org/10.17632/srt4vr5k38.2.

Acknowledgments

This research was supported by EPSRC (EP/P004229/1, Dynamically Adaptive and Resilient Water Supply Networks for a Sustainable Future). We thank Cla-Val and Bristol Water for their support in the implementation and operation of BWFLnet.

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Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 146Issue 8August 2020

History

Received: Jun 25, 2019
Accepted: Jan 15, 2020
Published online: May 23, 2020
Published in print: Aug 1, 2020
Discussion open until: Oct 23, 2020

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Authors

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Research Associate, Dept. of Civil and Environmental Engineering (InfraSense Labs), Imperial College London, London SW7 2AZ, UK (corresponding author). ORCID: https://orcid.org/0000-0003-3200-0892. Email: [email protected]
Panos Parpas [email protected]
Reader, Dept. of Computing, Imperial College London, London SW7 2AZ, UK. Email: [email protected]
Ivan Stoianov [email protected]
Senior Lecturer, Dept. of Civil and Environmental Engineering (InfraSense Labs), Imperial College London, London SW7 2AZ, UK. Email: [email protected]

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