Research On Optimal Regulation And Control Of Multi-Unit Pumping Station Considering The Difference Of Pumping Device Characteristics

As one of the most important control buildings of cross-basin water transfer projects,the pumping station has the characteristics of large energy consumption and high annual operating cost,and has great optimization potential in safety and economic scheduling.Traditional manual experience scheduling has the disadvantages of low decision-making efficiency and large energy consumption of scheduling operation.Based on the correction of the characteristic curve of the pumping device,this paper evaluates the advantages and disadvantages of the operating state of the pumping device in real time,studies the intelligent optimization scheduling of the pumping station,considers the difference in the characteristics of the same type of unit,and formulates an economical,reasonable,accurate and intelligent pumping station scheduling scheme.The main research results are as follows:(1)Aiming at the common phenomenon that there is a certain deviation between the theoretical efficiency and the actual operating efficiency of the pumping device in the pumping station,the characteristic curve correction method of the pumping device is studied: the characteristic curve correction model of the pumping device based on the K-Means clustering algorithm is constructed,and two correction methods are proposed: "polynomial fitting-area correction" and "pumping device efficiency conversion process correction".Taking Pizhou pumping station as an example,the correction effect of the characteristic curve and the difference of efficiency characteristics between each device are analyzed,and the results show that the two proposed correction methods improve the accuracy of the characteristic curve to a certain extent,and the "efficiency conversion process correction method of pumping device" method is more effective.Compared with the theoretical efficiency,the accuracy of the actual operation efficiency described by the calibration curve of each device is improved by 5.28%,9.99%,7.59%and 6.54%,respectively.At the same time,it is found that due to the different installation location,cumulative operation table and wear degree,the efficiency of the pumping device of the same type of unit in the pumping station under the same working conditions is different,and the maximum deviation can reach 11.38%,which fully indicates that the pumping station under long-term operation can no longer directly complete the optimal distribution through the equal distribution of flow.(2)Aiming at the problem of relying on manual experience to determine the activation combination of the unit in the operation of the pumping station,resulting in high labor intensity and low decision-making efficiency of dispatchers,the real-time operation status evaluation model of pumping device was studied: the real-time operation status evaluation model of pumping device considering key indicators such as safety,economy and restrictive constraints of pumping station engineering was constructed by analytic hierarchy.Taking the Pizhou pumping station as an example,the evaluation model decision-making results are compared with the manual decisionmaking scheme,and the results show that the evaluation model decision-making results are basically consistent with the direction of the human experience judgment results,so it can be applied to engineering practice to assist dispatchers in decision-making unit activation combination.(3)Aiming at the problem that the optimization decision-making scheme cannot be directly implemented on the spot due to the existing pumping station optimization scheduling model ignoring the operating characteristics and real-time status differences between the same type of units,a multi-unit pumping station optimization and control model considering the difference in the characteristics of the pumping device was developed: based on the calibration curve correction of the pumping device and the realtime operation status evaluation results,the intelligent control model of the pumping station was established,including two sub-models of optimal distribution of pumping station flow and intelligent optimal scheduling,and optimized calculation of different working conditions of the pumping station from the two dimensions of "static-dynamic".Taking the Pizhou pumping station as an example,the intelligent control model of the pumping station is verified,and it is found that the efficiency is increased by 2.81% on average after the optimization of the flow distribution scheme under the static of the Pizhou pumping station,and the flow distribution is shifted to the pumping device with good efficiency performance.After the optimization of the dynamic 24 h,48h and 72 h time scheduling,the energy consumption is reduced by 5.08%,4.85% and 3.17% on average,and the average cost is saved by 4.05%,5.33% and 2.75%,respectively,and the optimized scheduling scheme considers the different characteristics of the units and directly and accurately locates the activation of each pumping device,which can effectively avoid the loss caused by improper use of the unit and effectively improve the economy and safety of the optimal dispatching of the pumping station.