尾水管
水锤
惯性
转速
转子(电动)
工程类
控制理论(社会学)
蜗壳
涡轮机
机械工程
机械
入口
计算机科学
物理
控制(管理)
经典力学
人工智能
作者
Xiaolong Fu,Deyou Li,Hongjie Wang,Xianzhu Wei
摘要
Improving the transition safety and stability of pumped-storage hydropower plants supports the penetration of intermittent renewable energy into the grid. This paper presents the multi-objective optimization of the guide vane closure law and rotor inertia to reduce the rotational speed, water hammer pressure, and draft-tube vacuum by adopting genetic algorithms and a one-dimensional method of characteristic during load rejection transients. To reduce the increase in rotational speed to indirectly suppress pressure pulsations, a co-optimization of the guide vane closure law and rotor inertia is proposed. Results suggest that the above-mentioned co-optimization scheme can significantly reduce the increase in the rotational speed, water hammer pressure, and draft-tube vacuum and suppress the influence of pressure pulsations on the extreme pressure heads at the volute inlet and draft-tube inlet. Additionally, it can significantly reduce the transformation number of operation modes during pump-turbine load rejection transients.
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