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|Type:||Artigo de evento|
|Title:||Pso Applied To Reduce The Cost Of Energy In Water Supply Networks|
|Abstract:||The growth of urban population and subsequent expansion of the cities impose difficulties of gather areliable water supply systems thatattend 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 stationi.e., routines that seek the best operational routine for an extended period of 24 hours. © (2013) Trans Tech Publications, Switzerland.|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
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