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Closed-Loop Identification of Power System Based on Ambient Data

机译：基于环境数据的电力系统闭环辨识

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摘要

Small fluctuations caused by random changes of loads exist continuously in power grids, which are called ambient signals. Using time-synchronized phasor measurements, the closed-loop identification of power system based on ambient data is discussed, which can reflect accurate operating conditions currently and provide critical information for system analyzing and controller designing. The closed-loop identification of a power system with multiple disturbances is theoretically studied, including the closed-loop identifiability, the consistency properties, and the convergence properties. The requirements for realizing the closed-loop identification are summarized, and the theoretical research results are validated by simulation examples.
机译：由负载的随机变化引起的小波动在电网中连续存在，这被称为环境信号。利用时间同步相量测量，讨论了基于环境数据的电力系统闭环识别，它可以反映当前的准确运行状况，并为系统分析和控制器设计提供关键信息。从理论上研究了具有多重扰动的电力系统的闭环辨识，包括闭环辨识性，一致性特性和收敛特性。总结了实现闭环辨识的要求，并通过仿真实例验证了理论研究结果。

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  • 来源
    《Mathematical Problems in Engineering》 |2012年第5期|p.30.1-30.16|共16页
  • 作者

    Chao Wu; Chao Lu; Yingduo Han;

  • 作者单位

    College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, China;

    Department of Electrical Engineering, Tsinghua University, Beijing 100084, China;

    Department of Electrical Engineering, Tsinghua University, Beijing 100084, China;

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