论文标题
基于PMU的动态状态和电源系统动态安全评估的参数估计 - 在存在测量噪声的情况下的最终界限
PMU-based dynamic state and parameter estimation for dynamic security assessment in power systems -- Ultimate boundedness in the presence of measurement noise
论文作者
论文摘要
动态安全性评估的动态状态和参数估计方法对于系统运营商来说越来越重要。通常，用于此类应用程序的数据源于相量测量单元（PMU），并因噪声而损坏。通常，后者的影响可能会显着恶化估计性能。这激发了目前的工作，在这些工作中，证明了[1]中一部分作者提出的状态和参数估计方法，并扩展在[2]中，具有属性，即估计错误最终在有界噪声损坏的PMU测量数据中最终受到限制。该分析是针对同步发电机的三阶通量 - 末期模型进行的，并独立于使用的自动电压调节器和功率系统稳定剂（如果存在）。通过模拟说明了分析。
Dynamic state and parameter estimation methods for dynamic security assessment in power systems are becoming increasingly important for system operators. Usually, the data used for this type of applications stems from phasor measurement units (PMUs) and is corrupted by noise. In general, the impact of the latter may significantly deteriorate the estimation performance. This motivates the present work, in which it is proven that the state and parameter estimation method proposed by part of the authors in [1] and extended in [2] features the property that the estimation errors are ultimately bounded in the presence of PMU measurement data corrupted by bounded noise. The analysis is conducted for the third-order flux-decay model of a synchronous generator and holds independently of the employed automatic voltage regulator and power system stabilizer (if present). The analysis is illustrated by simulations.
