Social Network Community Detection for DMA Creation: Criteria Analysis through Multilevel Optimization. (20th February 2017)

• Record Type: Journal Article
• Authors: Brentan, Bruno M.; Campbell, Enrique; Meirelles, Gustavo L.; Luvizotto, Edevar; Izquierdo, Joaquín
• Other Names: Kalmar-Nagy Tamas Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2017(2017)
• Publication Date: 2017-02-20
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2017/9053238
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : 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.