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At present, most of the domestic parallel pump groups adopt a single-objective control model, and only pay attention to the energy efficiency optimization of operating conditions and operating costs in the process of use, and cannot adjust the operation strategy under the real-time working conditions of the pump group according to the comprehensive energy efficiency state of the pump group in the whole life cycle. A multi-objective pump group energy efficiency optimization control model can be independently adjusted according to the energy efficiency state of the current pump set in the whole life cycle. The weight coefficients of three objective functions can be autonomously adjusted, which improves the energy efficiency of the pump set throughout its life cycle and extends the life of the pump set. The objective function was determined by the ideal point value and distance deviation method. The multi-objective ideal point model was solved by LINGO. The optimal solution with the highest total system efficiency, the lowest pump group specific energy consumption and the highest system reliability was obtained. Experimental results show that the improved multi-objective ideal point model can adjust the target weight combination according to the real-time state of the pump group, so as to adjust the real-time control strategy of the pump group.
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目前国内对于并联泵组大多采用单目标控制模型,在使用过程中只注重运行工况的能效优化和运行成本,无法根据泵组在全生命周期中的综合能效状态来自适应调整泵组实时工况下的运行策略。为此,提出一种可在全生命周期中根据当前泵组的能效状态,自主调节3个目标函数权重系数的多目标泵组能效优化控制模型,从而提高泵组在全生命周期中的能效并延长泵组的使用周期,并利用理想点数值和距离偏差法确定目标函数,借助于LINGO求解多目标理想点模型,得到最高系统总效率、最低泵组比能耗和最高系统可靠性的最优解。试验结果表明,改进后的多目标理想点模型能根据泵组实时状态调整目标权重组合,从而调整泵组实时控制策略。
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