Power System Voltage Stability Assessment through Artificial Neural Network

Abstract Voltage stability is concerned with the ability of a power system to maintain acceptable voltages at all buses in the system under normal conditions and after being subjected to a disturbance. This paper presents a new technique to determine the static voltage stability of load buses in a power system for a certain operating condition and hence identifies load buses which are close to voltage collapse. A voltage stability index with respect to a load bus is formulated from the voltage equation derived from a two bus network and it is computed using Thevenin equivalent circuit of the power system referred to a load bus.. Buses with values of voltage stability factors close to 1 .0 are identified as the critical buses. And after that, an Artificial Neural Network is developed for voltage stability monitoring. In ANN applications, selection of input variables is an important aspect

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