A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Optimal design of district metered areas based on improved particle swarm optimization method for water distribution systems
Although partitioning of water distribution systems (WDSs) into district metered areas (DMAs) is challenging, it can be effectively used for refined management and leakage control. A two-step novel process for DMA partitioning is proposed in this study, i.e. clustering and dividing. The first step is to cluster nodes through an improved METIS graph partitioning method. The second step is to optimize the location of flowmeters and gate valves on boundary pipes by obtaining the feasible solutions. The good solutions that constitute the Pareto front were produced, which could be a tough and time-consuming task. The paper proposes the innovative and efficient dividing phase: (a) selecting the important boundary pipes by hydraulic analysis; (b) using the improved particle swarm optimization algorithm; (c) proposing three objective functions. The proposed method is applied to Modena and EXNET networks to demonstrate its feasibility. HIGHLIGHTS The improved METIS algorithm generated DMAs based on the water demand and pipe length.; The position of the flowmeter or gate valve in the boundary pipes is optimized through multiple objectives, that is, the minimum number of flowmeters, pressure balance and leakage reduction rate of three aspects.; The pressure balance takes into account the node pressure balance in each partition and minimizes the node pressure.;
Optimal design of district metered areas based on improved particle swarm optimization method for water distribution systems
Although partitioning of water distribution systems (WDSs) into district metered areas (DMAs) is challenging, it can be effectively used for refined management and leakage control. A two-step novel process for DMA partitioning is proposed in this study, i.e. clustering and dividing. The first step is to cluster nodes through an improved METIS graph partitioning method. The second step is to optimize the location of flowmeters and gate valves on boundary pipes by obtaining the feasible solutions. The good solutions that constitute the Pareto front were produced, which could be a tough and time-consuming task. The paper proposes the innovative and efficient dividing phase: (a) selecting the important boundary pipes by hydraulic analysis; (b) using the improved particle swarm optimization algorithm; (c) proposing three objective functions. The proposed method is applied to Modena and EXNET networks to demonstrate its feasibility. HIGHLIGHTS The improved METIS algorithm generated DMAs based on the water demand and pipe length.; The position of the flowmeter or gate valve in the boundary pipes is optimized through multiple objectives, that is, the minimum number of flowmeters, pressure balance and leakage reduction rate of three aspects.; The pressure balance takes into account the node pressure balance in each partition and minimizes the node pressure.;
Optimal design of district metered areas based on improved particle swarm optimization method for water distribution systems
Tingchao Yu (author) / Xiangqiu Zhang (author) / Zhihong Long (author) / Hua Zhou (author) / Xiaowei Liu (author)
2022
Article (Journal)
Electronic Resource
Unknown
Metadata by DOAJ is licensed under CC BY-SA 1.0
Spectral clustering for optimal design of district metered areas in water distribution systems
| British Library Online Contents | 2016
Leakage fault detection in district metered areas of water distribution systems
| British Library Online Contents | 2012
| British Library Online Contents | 2018