Abstract
A new transient-based hybrid heuristic approach is developed to optimize a transient generation process and to detect leaks in pipe networks. The approach couples the ordinal optimization approach (OOA) and the symbiotic organism search (SOS) to solve the optimization problem by means of iterations. A pipe network analysis model (PNSOS) is first used to determine steady-state head distribution and pipe flow rates. The best transient generation point and its relevant valve operation parameters are optimized by maximizing the objective function of transient energy. The transient event is created at the chosen point, and the method of characteristics (MOC) is used to analyze the transient flow. The OOA is applied to sift through the candidate pipes and the initial organisms with leak information. The SOS is employed to determine the leaks by minimizing the sum of differences between simulated and computed head at the observation points. Two synthetic leaking scenarios, a simple pipe network and a water distribution network (WDN), are chosen to test the performance of leak detection ordinal symbiotic organism search (LDOSOS). Leak information can be accurately identified by the proposed approach for both of the scenarios. The presented technique makes a remarkable contribution to the success of leak detection in the pipe networks.
Highlights
The issue of potable water shortages has become more and more critical in many parts of the world
The results showed that particle swarm optimization (PSO) obtains results faster than genetic algorithm (GA), and it is very effective for smaller water distribution network (WDN) or with fewer sensors
These two pipe networks are designed based on the the concept concept of of district district metering metering areas areas (DMA), (DMA), in in which which inflow inflow and and outflow outflow are aremonitored
Summary
The issue of potable water shortages has become more and more critical in many parts of the world. Huang et al [25] presented an ITA-type optimization approach, called LDSA, based on the combination of the transient flow simulation and SA to detect leaks in a laboratory pipeline and a synthetic pipe network. Some studies applied their leak detection techniques to a laboratory pipe system or real WDNs. Ferrante et al [27] coupled the wavelet analysis with a Lagrangian model to identify the leaks in a laboratory branched pipe system in the Water Engineering Laboratory at the University of Perugia. Brief descriptions of OOA and SOS, This sectionof deals with the mathematical forward flow and are and the combination a forward flow modelbackground with OOAof and SOS forsimulation the leakmodels, detection includes steady-state and transient flow simulations in the pipeline network. Brief descriptions of OOA and SOS, and the combination of a forward flow model with OOA and SOS for the leak detection are described
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