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泵站多機組葉片全調(diào)節(jié)優(yōu)化運行分解-動態(tài)規(guī)劃聚合方法
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Study of Optimal Operation Method on Multiple Pump Units with Adjustable-blade for Single Pumping Station Based on Decomposition-dynamic Programming Aggregation Method
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    摘要:

    針對泵站多機組葉片全調(diào)節(jié)日優(yōu)化運行數(shù)學模型,，提出了大系統(tǒng)分解-動態(tài)規(guī)劃聚合求解方法,。以泵站日提水耗電費用最小為目標,，機組提水量為協(xié)調(diào)變量,，將該模型分解為若干個單機組葉片全調(diào)節(jié)日優(yōu)化運行子模型。該子模型以機組葉片安放角為決策變量,，機組提水量的離散值為狀態(tài)變量,，采用動態(tài)規(guī)劃方法求解。構(gòu)造的聚合模型以各機組提水量為決策變量,，泵站提水量的離散值為狀態(tài)變量,，同樣采用動態(tài)規(guī)劃方法求解。該方法可解決安裝不同型號泵機組或各機組性能存在差異的站內(nèi)最優(yōu)化運行問題。以淮安四站運行為例,，獲得了較好的優(yōu)化效果,。

    Abstract:

    A decomposition-dynamic programming aggregation method, which was applied to solve the mathematical model of daily optimal operation with adjustable-blade for multiple pump units in single pumping station, has been proposed. Taking minimal daily electric cost as objective function, the water quantity pumped by units as coordinated variable, this model was decomposed into several sub-models of daily optimal operation with adjustable-blade for single pump unit, in which the blade angle was taken as decision variable, the discrete values of water quantity pumped by each unit as state variable, and was solved by means of dynamic programming method. The constructed aggregation model takes water quantity pumped by each pump unit as decision variable, the discrete values of water quantity pumped by pumping station as state variable, and was also solved by dynamic programming method. This method could solve the optimal operation issues for multiple pump units with different types or performance differences in single pumping station. Taking operation of No.4 Huaian Pumping Station as a study case, a set of optimization results was obtained.

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龔懿,程吉林,張仁田,張禮華.泵站多機組葉片全調(diào)節(jié)優(yōu)化運行分解-動態(tài)規(guī)劃聚合方法[J].農(nóng)業(yè)機械學報,2010,41(9):27-31.Study of Optimal Operation Method on Multiple Pump Units with Adjustable-blade for Single Pumping Station Based on Decomposition-dynamic Programming Aggregation Method[J]. Transactions of the Chinese Society for Agricultural Machinery,2010,41(9):27-31.

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