A Hybrid Data-Driven and Model-Based Approach for Leak Reduction in Water Distribution Systems Using LQR and Genetic Algorithms

A Hybrid Data-Driven and Model-Based Approach for Leak Reduction in Water Distribution Systems Using LQR and Genetic Algorithms

This paper presents a pressure management technique for the reduction of leaks considering as a case study a branched water distribution system. The proposed technique is based on the detection and location of the leak using a genetic algorithm (GA) and pressure control using a Linear Quadratic Regu...

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Veröffentlicht in:Processes 2024-09, Vol.12 (9), p.1805
Hauptverfasser: Bermúdez, José-Roberto, Gómez-Coronel, Leonardo, López-Estrada, Francisco-Ronay, Besançon, Gildas, Santos-Ruiz, Ildeberto
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Analysis
Automatic
Case studies
Design
Dynamic models
Earthquakes
Engineering Sciences
Genetic algorithms
Heuristic
Hydraulics
Linear quadratic regulator
Methods
Neural networks
Optimization techniques
Pressure regulators
Sensors
Water
Water distribution
Water engineering
Water-supply
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Beschreibung
Zusammenfassung:This paper presents a pressure management technique for the reduction of leaks considering as a case study a branched water distribution system. The proposed technique is based on the detection and location of the leak using a genetic algorithm (GA) and pressure control using a Linear Quadratic Regulator (LQR). The validation of the proposed method uses measured pressure and flow data from a laboratory-scale water distribution system and its dynamic model.
ISSN:2227-9717
2227-9717
DOI:10.3390/pr12091805