Algorithm of daily operation scheme for parallel pumping stations
Gong Yi1,Cheng Jilin1,Zhang Rentian1,2,Zhang Lihua1
(1.College of Hydraulic Science and Engineering,Yangzhou University,Yangzhou,Jiangsu 225009,China;2.Jiangsu Surveying and Design Institute of Water Resources Co.Ltd.,Yangzhou,Jiangsu 225009,China)
Abstract：Considering different condition adjustment,two stages decomposition-dynamic programming aggregation method was introduced to solve the mathematical model of daily optimal operation for parallel pumping stations which took the minimal daily electric cost of parallel pumping stations as objective function,the flow or speed of each unit as decision variable.Taking minimal daily electric cost of single pump station as objective function,allocation of water quantity pumped by each station as coordinated variable,this model was decomposed into several first stage sub-model of daily optimal operation for single pump station.Then taking minimal daily electric cost of single pump unit as objective function,allocation of water quantity pumped by each unit as coordinated variable,the first stage sub-model was decomposed into several second stage sub-model of daily optimal operation for single pump unit which takes the blade angle or unit speed as decision variable,the discrete value of water quantity pumped by each unit as state variable,and was solved by means of dynamic programming method.The constructed aggregation model took daily water quantity pumped by each pump unit as decision variable,the discrete value of water quantity pumped by parallel station group as state variable,and was also solved by dynamic programming method.This method could solve the optimal operation issues for parallel pumping stations with various operation modes,time period divisions and daily average heads of each station,and also provide theoretical support for the study on optimal operation of multi-stage pumping stations.Taking No.1,3 Huaiyin pumping station as a study case,a series of optimization calculations were carried out.The results showed that the unit cost of optimal operation under 100%,80%,and 60% loads within all average daily heads had an average energy consumption saving of 10.53%,26.54% and 34.40%,respectively,compared with the operation with fixed blade angle and constant speed.
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