基于黏菌优化算法的水轮机调节系统控制参数优化研究  

Research on Control Parameter Optimization of Hydro-Turbine Governing System Based on Slime Mold Optimization Algorithm

作　　者：李青珏 王淑青[1] 邹屹东 LI Qing-jue;WANG Shu-qing;ZOU Yi-dong(School of Electrical and Electronic Engineering,Hubei University of Technology,Wuhan 430068,China;School of Power and Mechanical Engineering,Wuhan University,Wuhan 430072,China)

机构地区：[1]湖北工业大学电气与电子工程学院,湖北武汉430068 [2]武汉大学动力与机械学院,湖北武汉430072

出　　处：《水电能源科学》2024年第7期188-192,159,共6页Water Resources and Power

基　　金：国家自然科学基金项目(51979204)。

摘　　要：为改善水轮机调节系统的控制性能,基于等效电路法建立了全流道引水系统数学模型,结合水轮机、发电机及调速器模型构建水轮机调节系统的整体模型。在此基础上,引入黏菌优化算法对水轮机调速器PID参数实施优化。最后,在不同工况下进行仿真,仿真结果表明,SMA算法收敛速度快,寻优能力强,基于此算法的调速器使水轮机调节系统具有更好的动态稳定性,研究结果为实际工程应用提供了参考。In order to improve the control performance of the water turbine regulation system,a mathematical model of the full-channel water diversion system is established based on the equivalent circuit method.And then the overall model of the water turbine regulation system is constructed by combining the models of the turbine,generator and governor.On this basis,Slime Mold Optimization Algorithm is introduced to optimize PID parameters of hydraulic turbine governor.Finally,the simulation results at different operating conditions show that the SMA algorithm has fast convergence speed and strong optimization ability.the governor based on this algorithm can make the hydraulic turbine regulation system have better dynamic stability.The research can provide a reference for practical engineering applications.

关 键 词：SMA算法 水轮机调速系统 等效电路法 控制参数优化 

分 类 号：TV734.4[水利工程—水利水电工程] TM622[电气工程—电力系统及自动化]