中国电力 ›› 2015, Vol. 48 ›› Issue (6): 58-62.DOI: 10.11930.2015.6.58

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基于模糊控制的广域阻尼控制器设计

孙琳,李天然,钱俊杰,蔡玮,吴华仁   

  1. 南京师范大学 电气与自动化工程学院,江苏 南京 210042
  • 收稿日期:2015-03-29 出版日期:2015-06-25 发布日期:2015-11-26
  • 作者简介:孙琳(1989—),女,江苏泰州人,硕士研究生,从事电力系统分析与控制研究。E-mail: sunlin0105@yeah.net
  • 基金资助:
    This work is supported by the National Natural Science Foundation of China (No. 51177074).

Design of Wide Area Damping Controller Based on Fuzzy Control

SUN Lin, LI Tianran, QIAN Junjie, CAI Wei, WU Huaren   

  1. School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing 210042, China
  • Received:2015-03-29 Online:2015-06-25 Published:2015-11-26
  • Contact: 国家自然科学基金资助项目(51177074)

摘要: 针对互联电力系统低频振荡问题,提出了一种用广域反馈信号作为附加稳定信号的励磁控制器的设计方法。广域信号传输存在的通信时滞用模糊控制方法进行补偿。描述了确定模糊推理规则的方法,首先分析模糊逻辑控制器的输入量和理想输出量,根据输入量和输出量之间的关系确定模糊论域、隶属度函数和模糊推理规则,从而建立模糊逻辑控制器。用Matlab/Simulink软件对4机2区域系统进行仿真,测试模糊广域阻尼控制器性能。仿真结果表明,所设计的控制器能补偿通信过程中存在的较大时滞,增加互联电力系统阻尼。仿真结果验证了模糊控制具有较好的鲁棒性和适应性。

关键词: 低频振荡, 模糊控制, 广域测量系统, 广域阻尼控制, 时滞, 电力系统稳定, 鲁棒性

Abstract: In view of the low frequency oscillations of the interconnected power systems, a method is proposed for designing the excitation controller by using the wide-area feedback signals as additional stability signals. Fuzzy control is applied to compensate the communication time delay during transmission of the wide-area signals. A new method is introduced for determining the fuzzy rules. Firstly, the inputs and expected outputs of fuzzy logic controller are analyzed. Then, the universe of fuzzy sets, membership functions and fuzzy rules are determined based on the relationship between the relevant inputs and outputs, and the fuzzy logic controller is constituted consequently. A four-machine two-area power system is simulated by using Matlab/Simulink software in order to test the performance of the fuzzy control-based wide-area damping controller. Simulation results show that the designed controller can effectively compensate the large time delay and improve the damping of interconnected power system, which verifies the good robustness and adaptability of fuzzy control.

Key words: low frequency oscillations, fuzzy control, wide-area measurement system, wide-area damping control, time delay, power system stability, robustness

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