DocumentCode :
1871018
Title :
Optimal pump operation for water distribution systems using a new multi-agent Particle Swarm Optimization technique with EPANET
Author :
Al-Ani, D. ; Habibi, Saeid
Author_Institution :
Mech. Eng. Dept., McMaster Univ., Hamilton, ON, Canada
fYear :
2012
fDate :
April 29 2012-May 2 2012
Firstpage :
1
Lastpage :
6
Abstract :
The optimal pump scheduling allows for computing the most economical energy costs and provides more efficient operations for complex water distribution systems (WDS) with multiple pumping stations. The proposed technique employs the latest advances in multi-agent Particle Swarm Optimization (MOPSO) to automatically determine the most cost-effective solutions for scheduling/operation multiple pumps in multiple pumping stations, while satisfying both loading conditions and hydraulic performance requirements. The present work considers a bi-objective pump-scheduling problem, where the objectives are: minimize the electrical energy cost ($/KW.h) and minimize the maintenance costs in terms of the total number of pump switches. In additional to the bi-objective pump-operational problem, pressure and tank levels (i.e., initial, minimum, and maximum) are considered as constraints in this paper for computing the most cost-effective solutions. The constraint-handling method, the Modified MOPSO (M-MOPSO) algorithm, and the modified EPANET Toolkit 2.0 are used to solve the constrained multi-objective problem. The results showed that the new MOPSO algorithm produced the most economical pump scheduling solutions.
Keywords :
constraint handling; hydraulic systems; maintenance engineering; particle swarm optimisation; scheduling; water supply; EPANET Toolkit 2.0; MOPSO; WDS; biobjective pump-operational problem; biobjective pump-scheduling problem; constrained multiobjective problem; constraint-handling method; cost-effective solutions; electrical energy cost; hydraulic performance requirements; loading conditions; maintenance costs; multiagent particle swarm optimization technique; optimal pump operation; optimal pump scheduling; water distribution systems; Algorithm design and analysis; Electricity; Genetic algorithms; Job shop scheduling; Optimization; Particle swarm optimization; Water resources; multi-agent optimization; parallel computing; pump scheduling; water distribution systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical & Computer Engineering (CCECE), 2012 25th IEEE Canadian Conference on
Conference_Location :
Montreal, QC
ISSN :
0840-7789
Print_ISBN :
978-1-4673-1431-2
Electronic_ISBN :
0840-7789
Type :
conf
DOI :
10.1109/CCECE.2012.6335031
Filename :
6335031
Link To Document :
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