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This paper presents a novel method to combine neural network and Ward equivalent external network modeling to achieve advantages of both methods for on-line voltage security assessment. The demonstrated method includes simplicity of Ward equivalent model and due to application of neural network techniques it is very fast and accurate. In this method ANN is used to obtain boundary buses power injections. The developed method in applied to IEEE 30 bus test system and results highlighted the anticipated speed and accuracy.