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作 者:Hui Liu Yun-fa Lin Yong-guang Cheng Song Xue Mao-jia Tang Jian Zhang Jia-yi Fan
机构地区:[1]State Key Laboratory of Water Resources Engineering and Management,Wuhan University,Wuhan,430072,China [2]Dongfang Electric Machinery Co.,Ltd.,Deyang,618000,China
出 处:《Journal of Hydrodynamics》2024年第2期363-377,共15页水动力学研究与进展B辑(英文版)
基 金:Project supported by the National Natural Science Foundation of China (Grant Nos.51839008,51909226).
摘 要:The load rejection transient process of bulb turbine units is critical to safety of hydropower stations,and determining appropriate closing laws of guide vanes(GVs)and runner blades(RBs)for this process is of significance.In this study,we proposed a procedure to optimize the co-closing law of GVs and RBs by using computational fluid dynamics(CFD),combined with the design of experiment(DOE)method,approximation model,and genetic optimization algorithm.The sensitivity of closing law parameters on the histories of head,speed,and thrust was analyzed,and a two-stage GVs’closing law associating with a linear RBs’closing law was proposed.The results show that GVs dominate the transient characteristics by controlling the change of discharge.Speeding GVs’first-stage closing speed while shortening first-stage closing time can not only significantly reduce the maximum rotational speed but also suppress the water hammer pressure;slowing GVs’second-stage closing speed is conducive to controlling the maximum reverse axial force.RBs directly affect the runner force.Slowing RBs’closing speed can further reduce the rotational speed and the maximum reverse axial force.The safety margin of each control parameter,flow patterns,and pressure pulsations of a practical hydropower station were all improved after optimization,demonstrating the effectiveness of this method.
关 键 词:Bulb turbine load rejection transient process double regulation closing law OPTIMIZATION computational fluid dynamics(CFD)
分 类 号:TV131.2[水利工程—水力学及河流动力学]
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