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 |
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| container_title | Processes |
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| creator | Bermúdez, José-Roberto Gómez-Coronel, Leonardo López-Estrada, Francisco-Ronay Besançon, Gildas Santos-Ruiz, Ildeberto |
| description | 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. |
| doi_str_mv | 10.3390/pr12091805 |
| format | Article |
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| source | MDPI - Multidisciplinary Digital Publishing Institute; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | 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 |
| title | A Hybrid Data-Driven and Model-Based Approach for Leak Reduction in Water Distribution Systems Using LQR and Genetic Algorithms |
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