Multibus Power Transmission System’s Voltage Stability Limit Prediction Using Artificial Neural Network

The objective of this paper is to predict the voltage stability limit a multi-bus power transmission system using Artificial Neural Networks (ANN). When overloaded or change in systems condition, there an uncontrollable drop collapse occurs. weakest, weaker, and weakest bus IEEE - 30 can be identified by Newton Raphson method load flow analysis. simulated MATLAB programming. In Jacobian matrix said system, are four sub matrixes that J1, J2, J3 J4. By values diagonal elements J4 matrix, dq / dv buses has been calculated inverted these find dv/dq index for finding out weak segment network. Finding critical magnitude active loading goal study's second phase. Plotting PV curve matching how accomplished. For reason, gradually increased while other remained constant. paper's final page was use artificial neural network (ANN) discover crucial voltages any unforeseen loads. case, multilayer feed forward back propagation algorithm were used determine values.