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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 equation and pipe transfer function. And then the turbine speed control system model with surge tanks was formed together 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 regulation and robustness to various types of disturbances.

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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。

, correspAuthors=null, authorNote=null, correspAuthorsNote=
李洋(1987-),男,硕士、高级工程师,研究方向为水电站智能优化与控制,E-mail:
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杨金东(1984-),男,硕士、高级工程师,研究方向为智能配电网运行与控制,E-mail:

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杨金东(1984-),男,硕士、高级工程师,研究方向为智能配电网运行与控制,E-mail:

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杨金东(1984-),男,硕士、高级工程师,研究方向为智能配电网运行与控制,E-mail:

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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
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杨金东 1 , 李洋 2 , 邹屹东 3
水电能源科学 | 机电与控制工程 2023,41(6): 188-191
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水电能源科学 | 机电与控制工程 2023, 41(6): 188-191
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
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杨金东1 , 李洋2 , 邹屹东3
作者信息
  • 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
  • 杨金东(1984-),男,硕士、高级工程师,研究方向为智能配电网运行与控制,E-mail:

通讯作者:

李洋(1987-),男,硕士、高级工程师,研究方向为水电站智能优化与控制,E-mail:
IWOA Based Algorithm for Solving Optimization Problem of Control Parameters of Hydro-Turbine Speed Control System with Surge Tanks
Jin-dong YANG1 , Yang LI2 , Yi-dong ZOU3
Affiliations
  • 1.Yunnan Electric Power Technology Company, Kunming 650000, China
  • 2.School of Power and Mechanics, Wuhan University, Wuhan 430000, China
出版时间: 2023-06-25 doi: 10.20040/j.cnki.1000-7709.2023.20221667
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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。

IWOA算法  /  调压井  /  水轮机调速系统  /  控制参数  /  优化

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 equation and pipe transfer function. And then the turbine speed control system model with surge tanks was formed together 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 regulation and robustness to various types of disturbances.

IOWA algorithm  /  surge tank  /  hydro-turbine speed control system  /  control parameters  /  optimization
杨金东, 李洋, 邹屹东. 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. 水电能源科学, 2023 , 41 (6) : 188 -191 . DOI: 10.20040/j.cnki.1000-7709.2023.20221667
Jin-dong YANG, Yang LI, Yi-dong ZOU. IWOA Based Algorithm for Solving Optimization Problem of Control Parameters of Hydro-Turbine Speed Control System with Surge Tanks[J]. Water Resources and Power, 2023 , 41 (6) : 188 -191 . DOI: 10.20040/j.cnki.1000-7709.2023.20221667
  • 南方电网科技项目(YNKJXM20191234)
2023年第41卷第6期
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doi: 10.20040/j.cnki.1000-7709.2023.20221667
  • 接收时间:2022-08-12
  • 首发时间:2026-01-28
  • 出版时间:2023-06-25
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  • 收稿日期:2022-08-12
  • 修回日期:2022-10-14
基金
南方电网科技项目(YNKJXM20191234)
作者信息
    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

通讯作者:

李洋(1987-),男,硕士、高级工程师,研究方向为水电站智能优化与控制,E-mail:
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2种不同金属材料的力学参数

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