Dynamic Behavioral Observation in Power Systems Utilizing Real-Time Complexity Computation

In this paper, a novel real-time complexity measurement (RCM) through the approximate entropy calculation is put forward to detect the dynamical changes in the power system. These dynamical changes (can be seen as irregularities) are able to drive the system into instability. The detection of these irregularities based on the RCM technique brings a clear understanding of the system interactions when the system undergoes changes in terms of parameters or the topology. Unlike the conventional linear-based tools, which are highly reliant on the model, this technique is independent of the model. In this paper, three solid state transformers (SSTs) in a micro-grid are considered as a test system. The test system is evaluated under different scenarios implying different types of dynamics for each of three SSTs. The performance of the proposed RCM method is verified using a real-time processor coordinated with the test system.