Abstract
This paper utilizes modern statistical and machine learning methodology to predict the oscillation mode of interest in complex power engineering systems. The damping ratio of the electromechanical oscillation mode is formulated as a function of the power of the generators and loads as well as bus voltage magnitudes in the entire power system. The celebrated Lasso algorithm is implemented to solve this high-dimension modeling problem. By the nature of the L 1 design, the Lasso algorithm can automatically render a sparse solution, and by eliminating redundant features, it provides desirable prediction power. The resultant model processes a simple structure, and it is easily interpretable. The precision of our sparse modeling framework is demonstrated in the context of an IEEE 50-Generator 145-Bus power network and an online learning framework for the power system oscillation mode prediction is also provided.
Highlights
Inter-area oscillations are one of the main concerns of small-signal stability in power systems [1]–[4]
This method is not practical in further online applications because the system changes on different operating points, and the correlation between the damping of an electromechanical oscillation mode and operating scenario is not explicit
We have introduced the least absolute shrinkage and selection operator’’ (Lasso) approach in the power system oscillation mode prediction problem
Summary
Inter-area oscillations are one of the main concerns of small-signal stability in power systems [1]–[4]. In order to overcome this problem, in this paper, we apply a sparse machine learning algorithm called the Lasso (least absolute shrinkage and selection operator), which was widely applied to power system community, such as power system transient stability problems [16], [17], total transfer capability online estimation [18], and voltage stability margin online monitoring [19] This paper examines this approach in assessing, understanding, and predicting the small-signal behavior of large interconnected power systems and estimates the direct relationship between the mode damping and the system operation point. Speaking, the right eigenvectors Vi0 and Vi of the same electromechanical mode λi at the power base P0 and the new steady-state point P0 respectively, must be similar, i.e., Vi0 ≈ Vi. according to the aforementioned expression Wi0Vi0 = 1, we have Wi0Vi ≈ 1.
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