Neural modeling of the electrical power system development based on IEEE RTS test data

The paper contains selected results of research related to neural modeling of electrical power system development (EPS or EP System). Numerical data presented in paper [1, 8] were used to teach the artificial neural network (ANN) a model of EP system development. The ANN was designed in the MATLAB and Simulink environment using the Neural Network Toolbox. The generated model was used to perform simulation to examine sensitivity in Simulink. On the basis of the simulation model a comparative study was performed to compare responses of the model and the IEEE RTS test system. Sensitivity of the model was also examined by measuring the response of the model to the following input functions: sinusoid, unit step, Dirac impulse (Dirac delta function), etc. The results obtained were interpreted on the basis of the control and systems theory.