Identifying and modeling chaotic modes in electrical power systems

Power systems are nonlinear dynamic systems, in which the chaotic modes occurrence is possible. Chaotic modes are potentially dangerous for the equipment, the system stability and survivability as a whole. We consider the possibility of timely chaotic modes detection of electric power systems due to the system parameters bifurcations. The research task and early detection of such modes are important today for improving the reliability and survivability of power systems. The research goal is developing the algorithm of identifying chaotic modes of electric power systems in real time using vector measurement data. To achieve this goal the problems of modeling chaotic modes, determining indicators, which identify chaotic modes are solved. Modeling is performed by numerical integration of differential equation systems. The result is an algorithm for identifying chaotic modes, its verification is carried out by the mathematical simulation.