Study On Optimal Operation Of Pumping Station System Based On Intelligent Algorithm

Total water resources is rich in our country, but it’s very uneven on the space,how tomake full use of water resources to meet the needs of the people’s production and lifeneeds, In recent years, the construction of a lot of water transfer projects to meet thisdemand.But the water diversion projects consume large amounts of energy while tomeet the people’s demand.As the main body of water diversion project,the energyconsumption of the pump station is undoubtedly accounted for a largeproportion.Therefore, how to reduce the energy consumption of pumping stations,improve the operation efficiency, reduce the economic costs, achieve the optimaloperation of pumping station is the current to be solved.Optimal operation of pumping station is mainly based on Artificial Neural Net andGenetic Algorithms,using modern computing technology and optimized methods tofind optimal scheduling way or programs to meet the scheduling principles.under thecondition of given flow rate and head,we can make the pumping station to optimaloperation to achieve the purpose of minimum consumption of energy though variousmodes of operation,for example,to adjust the water pump vane angle to distribute flowrate reasonably or determine the number of running machines.This paper introduces the research status of the pumping station optimization anddevelopment,composition,application and characteristic of Genetic Algorithms andArtificial Neural Net.At the same time,this paper analyzes application, advantagesand disadvantages of all kinds of mathematical model of optimal operation of pumpingstation.On the basis, we can determine to use total power consumption as the guideline,build the Mathematical model of the the Daqingshan pumping station economicrunning.And we can establish Pump station optimization system using the Visual Basicprogramming,use Artificial Neural Network technology to establish the correspondingoperating model,Also we can Combine with Genetic Algorithms to achieve the optimalflow rate distribution between the pumping units to achieve the goal of optimaloperation.When given flow rate of pump station,we can determine the running stationnumber and the total power of the pumping station quickly through using the optimalcalculation function of Artificial Neural Net and Genetic Algorithms.It will providethe basis for real-time control and real-time scheduling of pumping station, in order toachieve the optimal operation of pumping station.