共用尾水系统水电机组低频振荡抑制研究  

Suppression of low-frequency oscillations in hydropower units of shared tailwater system

作　　者：刘钊[1] 闫震伍 邹屹东 郑阳 肖志怀[2] LIU Zhao;YAN Zhenwu;ZOU Yidong;ZHENG Yang;XIAO Zhihuai(Xiangiaba Hydropower Plant of China Yangtze Power Co.,Ltd,Yibin 644612,China;School of Power and Mechanical Engineering,Wuhan University,Wuhan 430072,China)

机构地区：[1]中国长江电力股份有限公司向家坝水力发电厂,四川宜宾644612 [2]武汉大学动力与机械学院,武汉430072

出　　处：《水力发电学报》2025年第2期96-106,共11页Journal of Hydroelectric Engineering

基　　金：长江电力有限公司科技项目(4223020036)。

摘　　要：为解决共用尾水系统“一洞两机”水电机组调节系统(HURS)低频与超低频振荡(ULFO)问题。提出了一种基于改进樽海鞘优化算法(ISSA)的HURS中控制参数优化策略。ISSA通过引入文化基因算法与混沌序列两个改进框架来提升搜索性能,并在搜索空间中探索出最优解。仿真算例研究包括HURS的频率调节模式、功率调节模式、以及开度调节模式3个部分,并与优化前的系统仿真响应进行对比分析,以验证所提优化方法在共用尾水系统HURS控制参数优化应用中的可行性和有效性。仿真结果表明,优化后的系统使各调节模式下振荡次数降低了至少50%,并极大提高了机组运行的稳定性。To address the problem of low-frequency and ultra-low-frequency oscillations(ULFO)in hydropower unit regulation systems(HURS)with a shared draft tube system(one tunnel,two units),a new control parameter optimization strategy for HURS based on the Improved Salp Swarm algorithm(ISSA)is presented.ISSA enhances search performance by incorporating two improvement frameworks:a cultural gene algorithm and a chaotic sequence,enabling it to explore the optimal solution within the search space.A simulation case study of HURS includes three parts-frequency regulation mode,power regulation mode,and gate opening regulation mode-with a comparative analysis of the simulated responses before and after optimization to validate the feasibility and effectiveness of this optimization method in controlling the HURS parameters of shared draft tube systems.The simulation results show the optimized system reduces the number of oscillations by at least 50%in each regulation mode and significantly improves the operational stability of the units.

关 键 词：水电机组 低频振荡 PID参数优化 樽海鞘算法 

分 类 号：TV732[水利工程—水利水电工程]