A novel methodology to sectorize water supply networks (WSNs) depending on a main transmission line is presented in this paper. The methodology is based on concepts derived from the social network theory and graph theory (namely, community detection and shortest path respectively); and also on a multi-objective optimization process by means of agent swarm optimization (ASO). A series of energy, operative, and economic criteria are optimized in this process. The core idea is to form sectors over the distribution network based on communities found using a community detection algorithm (Walktrap). The methodology is flexible and enables the technical staff in water utilities to make decisions at different stages. It has been tested by generating four feasible solutions over a portion of a real WSN.
A flexible methodology to sectorize water supply networks based on social network theory concepts and multi-objective optimization
Enrique Campbell, Joaquín Izquierdo, Idel Montalvo, Amilkar Ilaya-Ayza, Rafael Pérez-García, Mario Tavera; A flexible methodology to sectorize water supply networks based on social network theory concepts and multi-objective optimization. Journal of Hydroinformatics 21 January 2016; 18 (1): 62–76. doi: https://doi.org/10.2166/hydro.2015.146
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