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A centrality measure has been proposed considering the directionality of power flow of future smart grid. Applicability of the proposed method has been evaluated in several standard IEEE test systems. Various comparisons are shown between impacts of removal of critical nodes found from two different models: nondirectional and bidirectional. Larger impact of removing critical nodes found from bidirectional...
New closeness and betweenness based centrality measures have been evaluated in this paper. Power grid is modeled as a directed graph. The graph is analyzed in terms of complex network theory to identify influential nodes which control power flow pattern throughout the whole grid and as a result can create cascade if removed unintentionally or targetedly. Various measures of impacts have been analyzed...
Modified versions of betweenness and closeness centrality measures are proposed to identify and rank critical nodes in power systems. Power flows in various lines of a transmission system are taken as weighting parameters to calculate betweenness and closeness centrality measures. Changes in measures of impact like path length, connectivity loss and size of blackout are observed when nodes from the...
A new model of power system to identify critical elements for smart and bulk power transmission grid environment is presented in this paper. Proposed bidirectional power flow model under complex network framework can quantify the criticality of nodes whose removal would trigger cascading failure. The proposed model based centrality, which is an extension of nominal power flow based model, is able...
Bidirectional or two way power flow based centrality measure has been implemented in bulk and smart power transmission systems. Proposed model can identify critical nodes from the system whose removal would affect the system severely. A combination of two models has been adopted to capture the power flow scenario of smart grid. Impacts of removal of critical nodes have been analyzed in terms of increase...
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