Optimization model of pumping station based on correction of characteristic curve of pumping set
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Abstract:
Pumping station equipment will gradually age with the increase of operating time, and the different operating time and installation position of each unit in a pumping station will lead to the difference in the degree of wear of each unit. Therefore, the operating characteristics of different pumping station units may have different degrees of deviation compared with the theoretical curve, which leads to the deviation of the operation scheme calculated by the optimization model of pumping station based on the theoretical curve.Based on the theoretical curve of the pump, the data and mechanism driven parameter identification methods were used to correct the characteristic curve of pumping station unit. The wear of the unit directly affects the operation efficiency of the pump. The efficiency curve of the unit is corrected by polynomial fitting of the measured data. For the correction of the theoretical curve of speed, because the speed of the operating condition points does not change much and the data points are relatively concentrated, the actual working condition can be converted into the operating parameters under different speeds in proportion, and the overall translation of the theoretical curve of speed can be further induced to achieve the correction of the speed curve. On the basis of the corrected results, considering the possible differences between the characteristic curves of each unit, the optimization model of the pumping station considering the difference characteristics of the unit is established. The maximum total operating efficiency of the pumping station is taken as the objective function to satisfy the flow constraint of a single unit, the total flow constraint and the rotation speed factor. The general particle swarm optimization algorithm is used to solve the model. The flow distribution results of each unit are more suitable for the actual output, so as to realize the fine control of the efficient operation and scheduling objectives of the pumping station.Taking Sihong Pumping Station of the East Route of South-to-North Water Transfer Project as an example, after sifting and sorting out the historical operation data, the curve correction and the comparison between the historical scheme and the optimized scheme are carried out. The results show that, compared with the theoretical curve, the deviation of the actual efficiency curve of the pumping device is large, and the characteristic curve before using the correction can not meet the requirement of calculation accuracy. Since the operation time of each unit in Sihong Pumping Station is more balanced, the difference between each unit is not obvious, and the coincidence degree between the modified efficiency curve and the measured data is increased from 0.6 before the correction to 0.99. However, because the cavitation generated by the pump itself will not affect the functional relationship between the unit speed and flow head, the deviation of the actual pumping device speed curve is very small, the consistency between the theoretical speed curve and the measured data reaches 0.99, the average absolute error of the corrected speed curve is 0.23 r/min less than the actual error before the correction. By comparing the historical operation scheme and the optimization scheme without curve correction, it can be found that the optimal distribution scheme based on the equipment characteristic curve correction is closer to the actual operating condition, avoids the flow distribution error compared with the actual operating condition, and effectively improves the problem of high efficiency of the optimized operation scheme based on the theoretical curve calculation. Compared with the historical operation scheme, the average energy consumption of the operation scheme calculated by the optimization model constructed is reduced by 10.1%.To sum up, using the actual operation data to correct the characteristic curve of the pump unit regularly can effectively strengthen the guiding role of the optimal distribution scheme of the pumping station to the actual dispatching.