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Drinking Water Engineering and Science An interactive open-access journal
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  • CiteScore value: 1.08 CiteScore 1.08
  • SNIP value: 0.624 SNIP 0.624
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Volume 11, issue 1 | Copyright
Drink. Water Eng. Sci., 11, 19-24, 2018
https://doi.org/10.5194/dwes-11-19-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 08 Mar 2018

Research article | 08 Mar 2018

Real-time hydraulic interval state estimation for water transport networks: a case study

Stelios G. Vrachimis, Demetrios G. Eliades, and Marios M. Polycarpou Stelios G. Vrachimis et al.
  • KIOS Research and Innovation Center of Excellence, Department of Electrical and Computer Engineering, University of Cyprus, Nicosia, Cyprus

Abstract. Hydraulic state estimation in water distribution networks is the task of estimating water flows and pressures in the pipes and nodes of the network based on some sensor measurements. This requires a model of the network as well as knowledge of demand outflow and tank water levels. Due to modeling and measurement uncertainty, standard state estimation may result in inaccurate hydraulic estimates without any measure of the estimation error. This paper describes a methodology for generating hydraulic state bounding estimates based on interval bounds on the parametric and measurement uncertainties. The estimation error bounds provided by this method can be applied to determine the existence of unaccounted-for water in water distribution networks. As a case study, the method is applied to a modified transport network in Cyprus, using actual data in real time.

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Using real-time uncertain measurements from a real water transport network, the proposed Iterative Hydraulic Interval State Estimation algorithm generates bounds on hydraulic states, by taking into account the measurement uncertainty and modeling uncertainty in the form of uncertain pipe parameters. The applicability of this methodology was demonstrated by using it to estimate the unaccounted-for water in the network. This methodology can be used as a tool for fault detection in water networks.
Using real-time uncertain measurements from a real water transport network, the proposed...
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