The growth of urban population and subsequent expansion of the cities impose difficulties of gather a reliable water supply systems that attend the fluctuations of demand throughout the day, and their operation with appropriate hydraulic and operational parameters. The search of better routines for water pumping stations with both starting and stopping of pumps or use of variable speed devices has become increasingly common, and the motivation of this search is found in the need for energy saving. But the task is arduous and becomes fertile field for the application of modern techniques and robust optimization. Noteworthy are currently those that seek their inspiration in nature systems, such as Particle Swarm Optimization, which is based on intelligence of groups, such as schools of fish or swarms of bee. By this way, the present work aims to contribute to the topic, developing a hybrid algorithm (simulator-optimizer) for determination of optimized routines for pumping station i. e., routines that seek the best operational routine for an extended period of 24 hours.
PSO Applied to Reduce the Cost of Energy in Water Supply Networks
2013
4 Seiten
Aufsatz (Konferenz)
Englisch
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