Real-time stability assessment utilizing non-linear time series analysis

In this study, the complexity of the nonlinear behavior of a Solid State Transformer is quantified to assess the stability of the system in real-time under different operating conditions. This system is more prone to instability compared to the traditional 60 Hz transformers due to the nonlinear behavior of power electronic components. Commonly used linear stability techniques such as Nyquist and Bode are not effective for assessing the dynamic stability in nonlinear systems. The nonlinear stability techniques are computationally complex for the implementation and real-time stability assessment. A complexity-based approach, which involves only the output terminal measurement, is proposed in this research. This approach is straightforward for real-time application and cost effective compared to existing approaches that require complex models or adding perturbation to the system. The system is modeled in MATLAB/SIMULINK, and the simulation results are discussed in different operating conditions in order to validate the proposed technique.