Optimization Of The Pumping Station Of
The Milano Water Supply Network With
Genetic Algorithms
Author(s)
S. Mambretti
Abstract
In the paper a method for the optimization of water distributions networks is
developed and applied to the case of the water supply network of Milano. This
network is very complex and has no suspended reservoirs as the hydraulic head
is maintained by the action of 31 pumping stations. Starting from real data, the
operations of the entire network and pumping station, with the actual scheduling,
are simulated with software using EPANET engine which was developed to this
purpose. Afterwards, the operation of the pumping stations is optimized through
the use of a simple Genetic Algorithm, in order to reduce the energy
consumption maintaining a good service. Results show a significant
improvement with the new working logics, thus justifying the study. Site tests
show that the assumptions made in building the model are reliable, but they will
probably require some adjustments following this research.
Keywords: water distribution, Genetic Algorithms, optimization, energy saving.
1 Introduction
Water distribution networks are a primary part of water supply systems, and
since they represent one of the main infrastructure assets of the society, its
management must be effective, efficient and energy saving. To this end,
hydraulic constraints are not sufficient to find the best system and economic and
energy conditions also have to be taken into account. For this kind of complex
and multi-objective optimization problem Evolutionary Computation may be
useful. The term Evolutionary Computation (EC) [1] represents a large spectrum
of heuristic approaches to simulate evolution. The latter includes: Genetic
Algorithms (GAs) [2, 3], Evolutionary Strategies [4, 5], Evolutionary
Keywords
water distribution, Genetic Algorithms, optimization, energy saving
Related Book
Other papers in this volume
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