Study On Optimal Operation Of Pumping Stations Based On Ant Colony Optimization Algorithm And Sensitivity Analysis

China has a vast territory.In view of the uneven distribution of water resources in space and time,China has built a large number of trans-basin and long-distance water transfer projects.The pump station project is the main project of the water transfer project,which has the characteristics of large installed capacity,large amount of water extraction,long operating time,and large energy consumption.At present,most of our pumping stations in China fail to achieve modern management and operation,often due to improper dispatching,resulting in large energy consumption,high operating costs,and failure to achieve economic and safety goals.Therefore,it is of great significance to carry out research on pump station system operation optimization,perform sensitivity analysis on model parameters in the optimization process,improve pump station operation efficiency,and reduce pump station operation cost.Pump station economic optimization operation takes the pump station as the main research object.When the water demand is met,an optimal unit operation mode is sought,so that the pump station can exert the maximum economic benefits.Water pumps in most parts of China are axial flow pumps with adjustable blade angle.When the pumping volume and lift are given,these pumps can adjust the blade angle,control the flow of the pump,and reasonably determine the number of units to be started.Through the optimal combination between the units,the pump station operation cost is minimized,and energy-saving and efficient operation is achieved to achieve economy.Optimal goals.This article takes the Siyang pumping station on the east line of the South-to-North Water Transfer Project as the research object,studies the application of ant colony algorithm to the optimization of pump station operation,establishes a mathematical model of the pumping unit,and optimizes the large pumping station based on the ant colony algorithm.Optimal mathematical model was selected with reasonable parameters,and Morris method and partial correlation analysis method were used to perform local and global sensitivity analysis respectively.The main conclusions of the paper are as follows:(1)Based on the principle of minimizing the operating electricity cost of the pumping station,and taking the constraints of total water volume,unit flow,number of units on and off,and power as the constraints,establish a mathematical model of the pumping station with multiple units.Based on the ant colony algorithm and system decomposition coordination idea,a two-stage optimization stage is established.The first stage optimization decomposes the pumping station system into single-unit subsystems.The second-stage optimization uses the ant colony algorithm to make overall plans based on the overall target and the association between the single units.Coordinate the solution module of a single unit to optimize the solution,and finally achieve the goal of the least operating cost of the pumping station.(2)Study on multi-unit optimized operation of Siyang pumping station,divide the day into nine periods according to the electricity price at different time periods,and use the ant colony two-level optimization to perform optimization calculations.Five schemes with lower operating electricity costs are obtained.The analysis method compares and chooses the second option as the optimal solution.Its operating electricity cost is 71,400 yuan,which is 16.2% and 9.86% less than the conventional operating electricity cost of 85,200 yuan and the dynamic planning method,which are reduced by 16.2% and 9.86%,respectively.The operating cost of the pumping station is reduced;meanwhile,the unit operation time and the number of blade adjustments are correspondingly reduced,which improves the safety of the pumping station.Research shows that ant colony optimization algorithm can provide economical and safe operation schemes for large pumping stations.(3)Based on the optimized mathematical model of the pumping station,four parameters were selected: instantaneous flow,time-averaged head,number of units operating,and operating period.The parameters were analyzed for local and global sensitivity.Firstly,the Morris method was used to analyze the sensitivity of the local parameters.The sensitivity coefficient(S)of the instantaneous flow was calculated to be 1.631,and the sensitivity degree was highly sensitive.The sensitivity coefficients of the average head and unit operation were 0.826 and 0.652,respectively.The degree of sensitivity is 0.125,and the sensitivity coefficient is 0.125,and the sensitivity degree is medium sensitivity.At the same time,the global parameter sensitivity analysis is performed based on the partial correlation analysis method.The instantaneous flow partial correlation coefficient(r)is 0.805,and the average head is 0.518.The number of units operating is 0.383,and the operating period is divided into 0.175.The results of the local and global sensitivity analysis are consistent.The sensitivity of the parameters affecting the optimization model of the pumping station is in order: instantaneous flow> time-averaged head> number of units operating units> division of the operating period,and the rationality of the results is analyzed.Optimized design provides a certain reference value.