A Study on Dynamic Security Assessment and Early and Reliable Identification of The Critical Machine Cluster

In this paper, we have focused on dynamic security assessment and identification of the critical machine cluster. In the operating environment, a secure system is one in which the operating criteria are regarded at pre-and post-contingency conditions. This infers that investigations must be performed to evaluate all aspects of security, including the thermal loading of system components, voltage and frequency variations (both steady state and transient) and all types of stability. In this paper, another technique is proposed to recognize the CMC, which uses productive algorithms from chart theory. For that reason, a novel coupling coefficient is inferred, which speaks to the coupling strength between pairs of generators.