Pump Operation Management Using Ant Colony Optimization Algorithm for Minimizing Energy Consumption

Using a Pumps operation schedule allows village networks to be operated more efficiently from energy point of view. In the situation where water is supplied using pumps, the common criteria which are used to create demand sectors does not guarantee the proper working of the pumping sets, pump operation at the demand Peak hours is minimized to reduce cost of electric energy by telemetry control the purpose of the paper was filled the tank in hours of day and reduce head of water in tank to minimum allowable head in peak demand hours the system data required tosimulate with EPANET. A new methodology, using Ant Colony Optimization (ACO) is linked to EPANET. The methodology is examined by a case study in Iran to compareenergy cost with management model Predictions, the example shows energy savings up to 22% can be possible using the proposed method.

Keywords:

Ant Colony Optimization Algorithm , Epanet , Simulation–optimization , Telemetry