Design of Fuzzy Delay Compensation Controller Based on Amplitude Compensation Method for Power System with Communication Delay

IF 3.6 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Jun Li, Hongliang Gao, Yong Wang
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Abstract

In a networked power system, communication delay in the feedback signal during transmission process can have a detrimental impact on the effectiveness of the power system stabilizer (PSS) in suppressing low-frequency oscillations. To address this problem, a controller design method to compensate for short constant time delays is proposed. The proposed approach utilizes Mamdani fuzzy inference system to design a fuzzy delay compensation damping controller (FDCDC) and establishes control rules based on the amplitude compensation method. The proposed FDCDC takes the delayed feedback signal as input and generates additional excitation control signal as output. The controller considers the effect of delay on the performance of PSS controller and compensates for the delay through fuzzy output. To evaluate the effectiveness of the proposed FDCDC, a networked power system model is developed using MATLAB Simulink’s SimPowerSystems library and TrueTime 2.0 toolbox. The aim of this study is to investigate the impact of short constant time delay on the performance of PSS controller in a networked environment and to assess the performance of the proposed controller. The simulation results demonstrate that the proposed FDCDC exhibits good adaptability and robustness in compensating for the effect of delay on PSS control.

Abstract Image

基于振幅补偿法为带通信延迟的电力系统设计模糊延迟补偿控制器
在联网电力系统中,传输过程中反馈信号的通信延迟会对电力系统稳定器(PSS)抑制低频振荡的效果产生不利影响。为解决这一问题,提出了一种补偿短恒定时间延迟的控制器设计方法。所提出的方法利用 Mamdani 模糊推理系统来设计模糊延迟补偿阻尼控制器(FDCDC),并根据振幅补偿方法建立控制规则。拟议的 FDCDC 将延迟反馈信号作为输入,并产生额外的激励控制信号作为输出。该控制器考虑了延迟对 PSS 控制器性能的影响,并通过模糊输出对延迟进行补偿。为了评估所提出的 FDCDC 的有效性,我们使用 MATLAB Simulink 的 SimPowerSystems 库和 TrueTime 2.0 工具箱开发了一个联网电力系统模型。本研究的目的是调查网络环境中短恒定时间延迟对 PSS 控制器性能的影响,并评估所提出的控制器的性能。仿真结果表明,所提出的 FDCDC 在补偿延迟对 PSS 控制的影响方面表现出良好的适应性和鲁棒性。
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来源期刊
International Journal of Fuzzy Systems
International Journal of Fuzzy Systems 工程技术-计算机:人工智能
CiteScore
7.80
自引率
9.30%
发文量
188
审稿时长
16 months
期刊介绍: The International Journal of Fuzzy Systems (IJFS) is an official journal of Taiwan Fuzzy Systems Association (TFSA) and is published semi-quarterly. IJFS will consider high quality papers that deal with the theory, design, and application of fuzzy systems, soft computing systems, grey systems, and extension theory systems ranging from hardware to software. Survey and expository submissions are also welcome.
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