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ANN-Based Technique for Predicting Voltage Collapse in Power Systems
Proceedings of the Ninth International Middle-East Power Systems Conference MEPCON’2003, Menofia University, Shebin El-Kom, Egypt, December 2003 (2003)
  • Almoataz Youssef Abdelaziz
Abstract

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.

Publication Date
December, 2003
Citation Information
Almoataz Youssef Abdelaziz. "ANN-Based Technique for Predicting Voltage Collapse in Power Systems" Proceedings of the Ninth International Middle-East Power Systems Conference MEPCON’2003, Menofia University, Shebin El-Kom, Egypt, December 2003 (2003)
Available at: http://works.bepress.com/almoataz_abdelaziz/20/