电力系统类噪声闭环可辨识性分析

Cosed-loop Identifiability of Power System from Ambient Signals

基于广域测量类噪声信号辨识被控电力系统模型,可有效解决因仿真模型及参数误差造成的系统特性分析及控制器设计可信度等问题。电力系统中多处负荷变化等随机性质小扰动和广域阻尼控制器的投运,导致系统闭环辨识难度大为增加。提出对类噪声环境下电力系统闭环可辨识性问题进行理论研究,重点分析了反馈控制器和参考信号对系统闭环可辨识性的影响,并结合电力系统实际情况,总结类噪声环境下实现电力系统闭环可辨识所需满足条件,并对其进行仿真验证。

Identifying the controlled power system model based on wide area measured ambient signals could effective- ly solve the problems in system analysis and controller design caused by the simulation model and parameter errors. However, the small random disturbances due to load changes in power grids and the wide area controller operation greatly increase the closed-loop identification difficulty. The closed-loop identifiability of power system based on ambi- ent signals is theoretically studied, with a focus on the influences of the feedback controller and the reference signal. In combination with the actual power system, the requirements for realizing the closed-loop identification from ambient data are summarized, and the theoretical research results are validated by simulation examples.