this paper proposes a novel approach for coherent generators online clustering in a large power system following a wide area disturbance. an interconnected power system may become unstable due to severe contingency when it is operated close to the stability boundaries. hence, the bulk power system controlled islanding is the last resort to prevent catastrophic cascading outages and wide area bl...

This paper proposes a novel approach for coherent generators online clustering in a large power system following a wide area disturbance. An interconnected power system may become unstable due to severe contingency when it is operated close to the stability boundaries. Hence, the bulk power system controlled islanding is the last resort to prevent catastrophic cascading outages and wide area bl...

This paper presents a new proposed technique to identify the coherent groups of generators using fuzzy c-means clustering algorithm (FCM). The proposed technique is based on a proposed coherency criterion introduced by using time response of the linearized power system model that reveal the relations between generators which is the integral of the square of the rotor angle difference (ISEδ) whi...

This paper presents a new proposed method for identifying the coherent groups of generators for any large power system, this is based on two different techniques; the first one is based on applying two proposed coherency criterions introduced by using time response of the linearized power system model; the second one is based on the application of Fuzzy C-Means clustering algorithm (FCM). Also ...

-This paper presents the application to the identification of coherent generators in a power system based on the fuzzy c-means clustering. In view of the conceptual appropriateness and computational simplicity, the fuzzy c-means give a fast and flexible method for clustering analysis. At first, the coherency measures are derived from the time-domain responses of generators to reveal the relatio...

This paper presents a new simple method to identify the coherent groups of generators based on two different techniques; the first one is based on six proposed coherency criterions introduced by using time response of the linearized power system model; the second one is based on the application of fuzzy c-means clustering algorithm (FCM). A new technique of constructing the dynamic equivalent o...

Recent work has shown that the Internet exhibits a powerlaw node degree distribution and high clustering. Considering that many existing degree-based Internet topology generators do not achieve this level of clustering, we propose a randomized algorithm that increases the clustering coefficients of graphs produced by these generators. Simulation results confirm that our algorithm makes the grap...