Voltage stability problems have been one of the major concerns for electric utilities as a result of heavy loading of power system. This paper reports on an investigation on the application of Artificial Neural Networks (ANN) in voltage stability assessment using the energy function technique. A multi-layer feed-forward ANN with error back-propagation learning algorithm is proposed for calculation of Voltage Stability Margins (VSM). Extensive testing of the proposed ANN based approach indicates its validity for determination of power system voltage collapse. Simulation results on two test systems are reported in the paper.
Available at: http://works.bepress.com/almoataz_abdelaziz/20/