Optimization and regulation control of pump units based on differential characteristics
In order to effectively reduce the scheme error of the pumping station due to the deviation of the theoretical pumping unit efficiency from the actual situation,on the basis of the clustering method,the characteristic curves of the pumping units in the pumping station were corrected by using the histo-rical monitoring data.At the same time,the results of the correction were applied to the pumping sta-tion optimization and scheduling model,and the optimization and scheduling model of the pumping sta-tion based on the pumping units with different characteristics would be constructed to achieve the intel-ligent preference optimization and control of the pumping units in the station.The results of the study show that the theoretical pumping unit efficiency after the calibration curve is 18.8%higher than the accuracy before the calibration,which is more in line with the engineering practice.Compared with the manual empirical scheduling scheme,the energy consumption of the optimization scheme of the pum-ping unit with different characteristics based on the calibrated curve is reduced by an average of 9.08%,and costs by an average of 3.59%,which is superior to the manual empirical scheduling.Com-parison of the corrected performance curves of multiple pumping units found that the installation loca-tion,cumulative operating hours and wear and tear,result in differences in the pumping efficiency of the pumping unit of the same type of pumps in the pumping station,with a maximum deviation of 14.63%.This demonstrates that the pumping station cannot be directly divided into the optimal distri-bution of the flow rate for long periods of time,which further provides the necessity of the research on the differential characteristics of the pumping unit.
pump unitsoptimized schedulingcorrection of pump characteristic curvedifferential characteristics of pump unitsgenetic algorithmreduce consumption and save energy