The Program for Finding the Optimal Power Transit Separation Place of a Ring Electric Power Grid Based on Artificial Neural Networks

This work demonstrates the results of the artificial neural network development which determines the optimal separation point of the ring electrical grid power transit according to the criterion of minimizing active power losses. The neural network is trained using different load distribution regimes measurement data from the model which is developed in the "Simulink" library of the "Matlab" software package and based on the existing ring section circuit. Model verification and artificial neural network testing were provided using ASCME data. The working algorithm and usage methodology of the advising system for real time optimization of the electrical grid circuit active power losses is proposed.