Iterative Hydraulic Interval State Estimation for Water Distribution Networks
Publication: Journal of Water Resources Planning and Management
Volume 145, Issue 1
Abstract
State estimation of hydraulics (i.e., pressure and flows) in water distribution networks is an important tool for efficient and resilient operation. However, hydraulic state estimation is a challenging task in practice due to the scarcity of measurements and the presence of several modeling uncertainties. Standard state estimation techniques may produce unreliable estimates with no information of the estimation error magnitude, especially when historical data are used in place of missing measurements. This paper proposes a comprehensive methodology for generating hydraulic state bounding estimates by considering both measurement and parametric uncertainties. The methodology is based on solving the nonlinear interval hydraulic equations using bounding linearization, a technique that restricts the nonlinearities within a convex set, thus converting the problem to a form which is solvable using linear optimization. An iterative procedure improves the bounding linearization, converging to the tightest possible bounds. Simulation results demonstrate that the proposed methodology produces tight state bounds that can replace Monte Carlo simulations.
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Acknowledgments
This research is partially funded by the European Union Horizon 2020 programme under Grant Agreement No. 739551 (KIOS CoE), and by the Interreg V-A Greece-Cyprus 2014-2020 programme, cofinanced by the European Union (ERDF) and National Funds of Greece and Cyprus under project SmartWater2020.
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©2018 American Society of Civil Engineers.
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Received: Aug 9, 2017
Accepted: Jun 15, 2018
Published online: Nov 2, 2018
Published in print: Jan 1, 2019
Discussion open until: Apr 2, 2019
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