PEDROSA FILHO, L. A.; http://lattes.cnpq.br/0720927211193109; PEDROSA FILHO, Laudelino de Araújo.
Resumo:
In a general way, in the medium and large systems of supplying, the transport of
the water since the production centers until the distribution centers feels with the
intervention of a great number of station pumps and control valves. The innumerable
states that those components can assume, every hour, increases the range of possible
combinations of operational rules considerably, turning the administration of the system
a quite complex task for the decision-makers. In most of the cases, predominantly
heuristic operational politics are adopted, being disrespected the relative criteria to the
global optimization of the system, fact that causes great electric power waste. In this
work, a computational model to support the taking decision process in order to define
the best daily strategy of the bomb and valve stages of a pipeline system, so that it
results in the minimization of the expenses with electric power (consumption and
demand) and that it is operationally viable as well. The used methodology in the search
of operational optimum in 24 hours is based on the stochastic technique of the Simple
Genetic Algorithms interlinked to the hydraulic simulator EPANET2, which is
responsible for the evaluation of the hydraulic performance of the proposed solutions.
The minimization of the mono-objective function, represented by the pumping costs, is
treated by the Method of Penalties considering the inherent restrictions of the studied
system. The applicability of the proposed methodology was evaluated through
simulations applied to the water pipelines system of Marés, which supplies a great part
of João Pessoa city in Paraíba State, Brazil, considering several tariff structures of
electric power. The work presents results that prove the effectiveness of the model
propsed in finding viable operation strategies to be applied to a water pipeline system
with multiple stations and reservoirs, even without attending the totality of the physical
and operational restrictions which are present in the system. The reduction of the
electric consumption reached, it evidences the importance of the model as instrument to
improve the energy efficiency of the system.