Detection of hopf bifurcation using eigenvalue identification

In this research paper, we propose a new method which maps the identified complex eigenvalues to a set whose elements demonstrate the effect of each complex eigenvalue in oscillatory instability of the system. Combining beneficial properties of identification methods and the processing advantages of the proposed index, we project a new algorithm for power system monitoring. The algorithm is easy and straightforward. We conduct several test conditions for the proposed materials using 2-area 4-machine system. Simulation result expresses good performance of proposed index in comparison to former methods. The proposed method has fairly linear behavior, without discontinuities with respect to increases of system load. What´s more, it shows very good behavior when we apply it for online monitoring of power systems.