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|Title:||Refining PSO applied to electric energy cost reduction in water pumping|
|Author:||Brentan, Bruno Melo|
Luvizotto Junior, Edevar
|Abstract:||The growing urban population growth necessitates that the water delivery sector uses safe, economical operations. In this context, an increasing number of operational routines has been tested that can adequately handle standard impositions and consumer's needs. The search for optimum routines for water pumping for startup and stopping and pump rotation variation has become increasingly common because of the need to reduce energy consumption, which therefore promotes the application of various optimization techniques. Among such techniques, special attention has been given to those inspired by nature, such as Particle Swarm Optimization (PSO), a technique based on the intelligence of groups, such as fish schools or insect swarms. This study presents a hybrid algorithm (simulator-optimizer) to determine optimized operational routines for pumping stations using PSO to define the number of pumps that are running (in nominal rotation) and rotations, which can therefore satisfy the operational restrictions at the time when the pumps are running. The performance evaluation is conducted by applying the model to an actual distribution network, where the energy cost was reduced by approximately 60%|
|Subject:||Abastecimento de água|
|Editor:||Serbian Water Pollution Control Society|
|Appears in Collections:||FEC - Artigos e Outros Documentos|
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