基于IWOA算法求解含调压井水轮机调速系统控制参数的优化分析  

IWOA Based Algorithm for Solving Optimization Problem of Control Parameters of Hydro-Turbine Speed Control System with Surge Tanks

作　　者：杨金东 李洋 邹屹东 YANG Jin-dong;LI Yang;ZOU Yi-dong(Yunnan Electric Power Research Institute,China Southern Power Grid,Kunming 650000,China;Yunnan Power Technology Co.,Kunming 650000,China;School of Power and Mechanical Engineering,Wuhan University,Wuhan 430072,China)

机构地区：[1]南方电网云南电力科学研究院,云南昆明650000 [2]云南电力技术公司,云南昆明650000 [3]武汉大学动力与机械学院,湖北武汉430000

出　　处：《水电能源科学》2023年第6期188-191,196,共5页Water Resources and Power

基　　金：南方电网科技项目(YNKJXM20191234)。

摘　　要：为了提高含调压井水轮机调速系统的控制性能,提出一种基于改进鲸鱼优化算法(IWOA)的控制参数优化方法。首先建立含调压井水轮机调速系统的数学模型,即利用连续性方程和管道传递函数建立包含调压井动态的水轮机进口水头—流量传递函数,然后与水轮机调速模型一起构成含调压井的水轮机调速系统模型。以该系统中水轮机的转速偏差时间积分值作为优化过程的适应度值,并以该适应度最小化为目标,采用IWOA对研究对象的PID控制器参数进行优化。在Matlab平台对研究对象常见运行工况进行仿真,结果表明IWOA算法具有收敛速度快、精度高等优点,寻优操作后的PID控制器使研究对象面对各类型扰动具有更好的调节及鲁棒性能。In order to improve the control performance of hydro-turbine speed control system containing surge tanks,this paper proposes a control parameter optimization method based on the improved whale optimization algorithm(IWOA).Firstly,the mathematical model of the turbine speed control system with surge tanks was established.The turbine inlet head-flow transfer function containing the dynamics of surge tanks was established by using the continuity e-quation and pipe transfer function.And then the turbine speed control system model with surge tanks was formed togeth-er with the turbine speed control model.The time integral value of the speed deviation of the turbine in this system was used as the fitness value in the optimization process,and IWOA was used to perform optimization of the PID controller parameters of the study object with the objective of minimizing this fitness.The results show that the IWOA algorithm has the advantages of fast convergence speed and high accuracy,and the optimized PID controller provides better regula-tion and robustness to various types of disturbances.

关 键 词：IWOA算法 调压井 水轮机调速系统 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]