Implementation of user defined models in a real-time cyber physical test-bed

Online tools that can assess the state of the power system have been recommended in order to reduce the occurrences of large scale blackouts. Testing these novel methods on a real system is not recommended as the reliability of the system is at stake. Instead, a better way to judge the performance of the algorithm is to test it on a Cyber-Physical Real-Time Test-Bed. This paper describes the necessary components in a Real-Time Test-Bed and explains the different kinds of simulations possible. Next, the application of characterizing delayed voltage recovery is taken as an example to demonstrate the thought process on how to implement a Real-Time algorithm. The proposed algorithm can quantify the delayed voltage recovery at a load bus in real time based on voltage measurements from PMU's. This approach uses the idea of utilizing the Kullback-Leibler Divergence between the Probability Distributions of the delayed voltage response and the reference waveform as a way to quantify it. An implementation of the method in a real time cyber-physical test bed, using User-Defined models created in Modelica is described.