Artificial Neural Network Modeling Technique for Voltage Stability Assessment of Radial Distribution Systems

• Published in: Proceedings of the 41st International Universities Power Engineering Conference Vol. 3; pp. 1011 - 1015
• Main Authors: Hamada, M.M., Wahab, M.A.A., Hemdan, N.G.A.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-09-2006
• Subjects: Artificial neural networks; Power system analysis computing; Power system control; Power system modeling; Power system protection; Power system reliability; Power system security; Power system stability; Predictive models; Voltage
• ISBN: 1861353421; 9781861353429
• DOI: 10.1109/UPEC.2006.367632

This paper presents an artificial neural network (ANN) based modeling technique for predicting the voltage stability of radial distribution systems. The modeling technique is based on a new voltage stability index for assessment of radial distribution systems L v . The index is implemented to investigate a 33-bus distribution system. An ANN model which has an input layer with two input vectors (P, Q), one hidden layer, and an output layer, which gives the predicted value for the voltage stability index L v is suggested to predict the value of this index. The performance of the ANN model is tested by using the results of the 33-bus distribution system. Then the ANN model is checked by two model evaluation indices namely mean absolute percentage error and actual percentage error. Plotting of the simulated results with the ANN output is used to evaluate visually the accuracy of simulation. Extensive testing of the proposed ANN based technique have indicated its viability for voltage stability assessment