State Variable Implications on Hydraulic State Estimation

Emilio Ruiz (), Sarai Díaz () and Javier González ()
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Emilio Ruiz: University of Castilla-La Mancha
Sarai Díaz: University of Castilla-La Mancha
Javier González: University of Castilla-La Mancha

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2022, vol. 36, issue 8, No 2, 2549-2569

Abstract: Abstract Hydraulic State Estimation allows to estimate the most likely state of a water supply network considering multiple sources of information and their associated uncertainty. It is set out as an optimization problem, often addressed according to the Weighted Least Squares criterion. It can be formulated differently depending on the selected set of state variables. This choice is not straightforward and leads to different problem dimensions, time complexities and convergence behavior. All possible essential approaches are gathered in this work and two are identified as the most suitable according to the resulting problem dimensions: a head-based approach and a demand-based approach. The particularities and the formulation according to both sets of state variables are discussed, seeking for efficient implementation. Their time complexity and convergence behavior are compared to draw conclusions that help to identify the most suitable approach for real practice applications.

Keywords: Hydraulic state estimation; State variables; Demand-based; Head-based; Convergence behavior; Time complexity; Problem dimension (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s11269-022-03152-x

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