基于扩展卡尔曼滤波的惯性估计方法对假定扰动时间的灵敏度分析

D. D. Giudice, S. Grillo
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引用次数: 18

摘要

电力系统的惯性常数决定了扰动后的频率行为。可再生能源的日益普及正在导致更小和更可变的惯性,从而损害现代电网的频率稳定性。因此,对惯性的实时估计将有利于电网运营商,因为他们将更加了解其电网的频率稳定性。本文研究了一种基于扩展卡尔曼滤波的估计方法。这种方法首先需要知道扰动的时间,然后对扰动的时间进行估计。本文的目的是评估基于扩展卡尔曼滤波的惯性估计方法对假定扰动时间的灵敏度。
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Analysis of the Sensitivity of the Extended Kalman Filter Based Inertia Estimation Method to the Assumed Time of Disturbance
The inertia constant of an electric power system determines the frequency behavior immediately after a disturbance. The increasing penetration of renewable energy sources is leading to a smaller and more variable inertia, thereby compromising the frequency stability of modern grids. Therefore, a real-time estimation of the inertia would be beneficial for grid operators, as they would become more aware of the frequency stability of their grids. This paper focuses on an estimation method based on the extended Kalman filter. To be started, such method requires the knowledge of the time of disturbance, which, in turn, needs to be estimated. The purpose of this paper is to evaluate the sensitivity of the extended Kalman filter based inertia estimation method to the assumed time of disturbance.
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