Dynamic Identification of Critical Nodes and Regions in Power Grid Based on Spatio-Temporal Attribute Fusion of Voltage Trajectory

Abstract

Accurate identification of critical nodes and regions in a power grid is a precondition and guarantee for safety assessment and situational awareness. Existing methods have achieved effective static identification based on the inherent topological and electrical characteristics of the grid. However, they ignore the variations of these critical nodes and regions over time and are not appropriate for online monitoring. To solve this problem, a novel data-driven dynamic identification scheme is proposed in this paper. Three temporal and three spatial attributes are extracted from their corresponding voltage phasor sequences and integrated via Gini-coefficient and Spearman correlation coefficient to form node importance and relevance assessment indices. Critical nodes and regions can be identified dynamically through importance ranking and clustering on the basis of these two indices. The validity and applicability of the proposed method pass the test on various situations of the IEEE-39 benchmark system, showing that this method can identify the critical nodes and regions, locate the potential disturbance source accurately, and depict the variation of node/region criticality dynamically.

On Electromobility Development and the Calculation of the Infrastructural Country Electromobility Coefficient

“…Since we have focused on Slovakia, we have studied the overall distribution of the fast charging stations in Slovak Republic. The main problem was to determine some parameter that could be useful for cross-country comparison considering the electromobility preparation, as analyzing both the standard ways of measuring, counting, and displaying disparities between regions via statistical tools such as the Atkinson index, coefficient of variation, Gini coefficient, Hoover index, real convergence method, standard deviation, Theil index, and so on (see e.g., [47][48][49]) and less known ones via graph theory means (see e.g., [50]), we could not find the appropriate fitting one. Therefore, we have defined the infrastructural country electromobility coefficient, abbreviated as K-a parameter for infrastructural cross-countries (car) electromobility preparation comparison.…”

TrendRank method for evaluating the importance of power grid nodes considering information network

“…Literature [12, 13] considers the importance of the network topology to identify the critical nodes. In [14, 15] to identify the critical nodes of the power system from a dynamics perspective. In addition, the PageRank algorithm is also widely used to identify key nodes, and PageRank has been applied in [16–20].…”

“…Literature [12,13] considers the importance of the network topology to identify the critical nodes. In [14,15] to identify the critical nodes of the power system from a dynamics perspective. In [5], [6], [7], [8], [10], [11] [ 9] T h i s p a p e r [ 14,15] [ 12], [13], This paper [16], [17], [18], [19], [20] [ 22], This paper addition, the PageRank algorithm is also widely used to identify key nodes, and PageRank has been applied in [16][17][18][19][20].…”

“…In [14,15] to identify the critical nodes of the power system from a dynamics perspective. In [5], [6], [7], [8], [10], [11] [ 9] T h i s p a p e r [ 14,15] [ 12], [13], This paper [16], [17], [18], [19], [20] [ 22], This paper addition, the PageRank algorithm is also widely used to identify key nodes, and PageRank has been applied in [16][17][18][19][20]. In 2011, Lü et al [21] proposed a method called LeaderRank (LR), which is a variant of the PR algorithm.…”

Geodesic Vulnerability Approach for Identification of Critical Buses in Power Systems

“…Also, critical regions in power systems have been identified. In most cases, the physical topology and interaction between facilities significantly affect the spread of failures [37], [38]. Likewise, it shows that certain sets of highly connected buses could contain critical information about the cascading process, so that their protection would prevent the propagation of these undesirable events [39].…”