基于混沌小扰动抑制的电力系统混沌振荡控制方法研究
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西安铁路职业技术学院

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TM712

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陕西省教育厅专项科研计划项目,项目编号:20JK0860


Research on Chaos Oscillation Control Method of Power System Based on Chaos Small Disturbance Suppression
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    摘要:

    针对电力系统在周期扰动下可能发生混沌振荡,影响电力系统稳定运行的问题,提出基于混沌小扰动抑制的电力系统混沌振荡控制方法。构建电力系统数学模型,模拟电力系统混沌振荡过程,确定扰动与混沌振荡之间的关系。根据电力系统实时运行数据的采集结果,计算混沌振荡信号特征参数,判定系统振荡状态,计算混沌扰动抑制控制量。在混沌振荡控制器的支持下,利用混沌小扰动抑制技术限制混沌振荡幅值,进而实现电力系统的混沌振荡控制任务。从实验结果中可以看出,与传统控制方法相比,优化设计方法控制作用下,电力系统的混沌振荡信号的幅值和频率更低,振荡幅值和频率的控制误差分别降低了约1.57db和0.015Hz,即优化设计方法的控制性能更优。

    Abstract:

    Aiming at the problem that chaotic oscillation may occur in power system under periodic disturbance and affect the stable operation of power system, a control method for chaotic oscillation of power system based on chaotic small disturbance suppression is proposed. The mathematical model of power system is built to simulate the chaotic oscillation process of power system and determine the relationship between disturbance and chaotic oscillation. According to the collection results of real-time operation data of power system, the characteristic parameters of chaotic oscillation signal are calculated, the system oscillation state is determined, and the control amount of chaotic disturbance suppression is calculated. With the support of chaos oscillation controller, the chaotic small disturbance suppression technology is used to limit the amplitude of chaos oscillation, thus realizing the chaotic oscillation control task of power system. From the experimental results, it can be seen that compared with the traditional control method, the amplitude and frequency of the chaotic oscillation signal of the power system are lower under the control of the optimization design method, and the control error of the amplitude and frequency of the oscillation is reduced by about 1.57db and 0.015Hz respectively, that is, the control performance of the optimization design method is better.

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苗斌.基于混沌小扰动抑制的电力系统混沌振荡控制方法研究计算机测量与控制[J].,2023,31(9):124-129.

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  • 收稿日期:2023-02-27
  • 最后修改日期:2023-03-24
  • 录用日期:2023-03-27
  • 在线发布日期: 2023-09-18
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