论文标题
多机电源系统中的动态状态和参数估计 - 使用现实世界中PMU测量的实验演示
Dynamic state and parameter estimation in multi-machine power systems - Experimental demonstration using real-world PMU-measurements
论文作者
论文摘要
动态状态和参数估计（DSE）对于可靠的监视和运行未来，电力电子主导的电力系统起着关键作用。尽管DSE是一个非常活跃的研究领域，但提出的算法对现实世界系统的实验应用仍然很少。这激发了本文，在其中，我们证明了作者先前提出的DSE算法的有效性，该算法在靠近德国高电压网格内的靠近发电厂的变电站上收集的现实世界数据。为此，首先，我们得出了在靠近发电厂的变电站上记录的现实世界中PMU测量的合适映射，以与发电厂同步发电机（SG）的终端总线。该映射考虑了高压（HV）输电线路，自来水变压器和发电厂的辅助系统。接下来，我们将几种实际动机的扩展引入估计算法，通过实际测量值可显着提高其实际性能。最后，我们在自动和交叉验证中成功地通过实验验证了算法。
Dynamic state and parameter estimation (DSE) plays a key role for reliably monitoring and operating future, power-electronics-dominated power systems. While DSE is a very active research field, experimental applications of proposed algorithms to real-world systems remain scarce. This motivates the present paper, in which we demonstrate the effectiveness of a DSE algorithm previously presented by parts of the authors with real-world data collected by a Phasor Measurement Unit (PMU) at a substation close to a power plant within the extra-high voltage grid of Germany. To this end, at first we derive a suitable mapping of the real-world PMU-measurements recorded at a substation close to the power plant to the terminal bus of the power plants' synchronous generator (SG). This mapping considers the high-voltage (HV) transmission line, the tap-changing transformer and the auxiliary system of the power plant. Next, we introduce several practically motivated extensions to the estimation algorithm, which significantly improve its practical performance with real-world measurements. Finally, we successfully validate the algorithm experimentally in an auto- as well as a cross-validation.
