A novel hybrid entropy-clustering approach for optimal placement of pressure sensors for leakage detection in water distribution systems under uncertainty

Abstract Leakages in water distribution systems (WDSs) are a worldwide problem, which can result in an intolerable burden in satisfying the water demands of the consumers. There is an urgent demand to develop technologies that can detect and localize the leakage in a timely and efficient manner. The monitoring data of the WDS is a typical time series, and there is a certain spatiotemporal correlation between the data provided by the devices distributed at different locations of the WDS. This paper proposes a novel model-based method for WDS leakage localization. The method is characterized by (1) developing the dominant sensor sequence for each candidate leakage node to improve the localization accuracy based on the spatial correlation analysis; (2) utilizing multiple time steps of the measurements which are temporal varying correlated; (3) ranking leakage regions and nodes by their possibility to contain the true leakage. A realistic WDS is used to evaluate the performance of the method. Results show that the method can accurately and efficiently localize the leakage.

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Optimal Placement and Regulation of Pressure Reducing Valves in Water Distribution Systems to Water Leakage Reduction

10.1109/ecai52376.2021.9515075 ◽

2021 ◽

Author(s):

Pham Duc Dai

Keyword(s):

Distribution Systems ◽

Water Distribution ◽

Water Distribution Systems ◽

Optimal Placement ◽

Water Leakage ◽

Leakage Reduction

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Optimal selection of number and location of pressure sensors in water distribution systems using geostatistical tools coupled with genetic algorithm

Journal of Hydroinformatics ◽

10.2166/hydro.2019.023 ◽

2019 ◽

Vol 21 (6) ◽

pp. 1030-1047 ◽

Cited By ~ 3

Author(s):

Fattah Soroush ◽

Mohammad J. Abedini

Keyword(s):

Genetic Algorithm ◽

Distribution Systems ◽

Water Distribution ◽

Random Search ◽

Water Distribution Systems ◽

Pressure Sensors ◽

Monitoring Network ◽

Search Optimization ◽

First Time

Abstract This paper presents a novel methodology for designing an optimal pressure sensor to make average pressure field in water distribution systems (WDS) more accurate via geostatistical tools coupled with genetic algorithm (GA) under normal operating condition. In light of this, the objective function is introduced based on geostatistical technique as variance of residual of block ordinary kriging (BOK). In order to solve the problem of sensor placement, three different approaches, so-called, simplified, exhaustive, and random search optimization are considered. To the best of the authors' knowledge, this is the first time whereby geostatistical tools are used to design a pressure monitoring network in the WDS. The proposed methodology is first tested and verified on a literature case study of Anytown WDS and then is applied to a real-world case study referred to as C-Town consisting of five district metered areas (DMAs). The proposed methodology has several advantages over existing more conventional approaches which will be demonstrated in this paper. The results indicate that this method outperforms the conventional paradigms in current use in terms of mathematical labor and the results are quite promising.

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