Social Network Community Detection for DMA Creation: Criteria Analysis through Multilevel Optimization

Management of large water distribution systems can be improved by dividing their networks into so-called district metered areas (DMAs). However, such divisions must be based on appropriated technical criteria. Considering the importance of deeply understanding the relationship between DMA creation a...

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Bibliographic Details
Published in:Mathematical problems in engineering 2017-01, Vol.2017 (2017), p.1-12
Main Authors: Luvizotto, E., Meirelles, G., Campbell, Enrique, Brentan, B. M., Izquierdo, Joaquín
Format: Article
Language:English
Subjects:
Algorithms
Artificial intelligence
Communities
Cost analysis
Criteria
Demand analysis
Devices
Engineering
Graphs
Hydraulics
Implantation
Mathematical analysis
Multilevel
Optimization
Particle swarm optimization
Performance evaluation
Random variables
Social networks
Water distribution
Water engineering
Water quality
Water supply
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Summary:Management of large water distribution systems can be improved by dividing their networks into so-called district metered areas (DMAs). However, such divisions must be based on appropriated technical criteria. Considering the importance of deeply understanding the relationship between DMA creation and these criteria, this work proposes a performance analysis of DMA generation that takes into account such indicators as resilience index, demand similarity, pressure uniformity, water age (and thus water quality), solution implantation costs, and electrical consumption. To cope with the complexity of the problem, suitable mathematical techniques are proposed in this paper. We use a social community detection technique to define the sectors, and then a multilevel particle swarm optimization approach is applied to find the optimal placement and operating point of the necessary devices. The results obtained by implementing the methodology in a real water supply network show its validity and the meaningful influence on the final result of, especially, elevation and pipe length.
ISSN:1024-123X
1563-5147
DOI:10.1155/2017/9053238