摘要
为提高水电机组开机过程的动态品质,提出了一种基于非线性模型的水电机组开机规律多目标优化方法。为了准确描述系统的水力和机械动态特性,建立了调节系统非线性模型。选择优化的目标综合考虑转速上升的快速平稳性和对水压波动和机械振动的抑制,选取转速相对误差绝对值积分、蜗壳水压相对误差绝对值积分和最大轴向水推力相对值作为3个目标函数。利用多目标粒子群优化(MOPSO)算法对导叶开启规律进行优化,得到帕累托最优解集,并以加权方式选择4个解进行仿真试验。结果表明,开机规律多目标优化方法能在确保转速平稳上升的同时有效平抑水压波动和机械振动,达到良好的控制品质,优化结果可为水电机组的安全稳定运行提供决策支持。
To improve the dynamic quality of hydropower units during the startup process,this paper proposes a multi-objective optimization method based on nonlinear model of hydropower turbine governing system(HTGS).A nonlinear model of the governing system is established in order to accurately describe the hydraulic and mechanical dynamic characteristics of the system.When the optimization targets are select⁃ed,the suppression of hydraulic pressure fluctuation and mechanical vibration is also considered comprehensively in addition to the require⁃ment of fast and stable speed rise,so three objectives are selected:absolute value integral of relative error of speed,absolute value integral of relative error of water pressure at the inlet of voluteand relative value of maximum axial water thrust.Then the multi-objective particle swarm optimization(MOPSO)algorithm is used to optimize the opening law of the guide vane,and Pareto optimal solution sets are obtained,four solutions are selected in a weighted way for simulation experiment.The results show that the multi-objective optimization method can ef⁃fectively suppress hydraulic pressure fluctuation and mechanical vibration while ensuring the steady rise of rotational speed,and achieve good control quality,it can provide decision-making support for the safe and stable operation of hydropower units.
作者
段文华
吕延春
郑阳
吕怡静
陈启卷
姚琛
DUAN Wen-hua;LYU Yan-chun;ZHENG Yang;LV Yi-jing;CHEN Qi-juan;YAO Chen(Jinshuitan Hydropower Plant of State Grid Zhejiang Electric Power Company,Lishui 323000,Zhejiang Province,China;School of Power and Mechanical Engineering,Wuhan University,Wuhan 430072,Hubei Province,China)
出处
《中国农村水利水电》
北大核心
2023年第5期206-211,共6页
China Rural Water and Hydropower
基金
国网浙江省电力有限公司科技项目(5211JS20001T)。
关键词
开机过程
导叶开启规律
多目标粒子群算法
非线性模型
帕累托前沿
startup process
guide vane opening rule
multi-objective particle swarm optimization
nonlinear model
Pareto front
