Kohonen Neural Network Based Approach for Voltage Security Monitoring of Power Systems.

Authors

Mohamed Ebraheem Ebraheem, Electrical Power & Machines Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.
El-Hussieny Abd-Raboh Mohamed, Electrical Power & Machines Department., Faculty of Engineering, El-Mansoura University., Mansoura., Egypt.

Corresponding Author

Abd-Raboh Mohamed, El-Hussieny

Subject Area

Electrical Engineering

Article Type

Original Study

Abstract

This paper utilizes the artificial neural network of Kohonen for monitoring voltage security of electric power systems. The Kohonen model is based on the self-organization feature mapping technique that transforms input patterns into neurons on the two dimensional grid. By using the power flow analysis and the minimum singular value method a Kohonen Neural Network (KNN) is trained to give the expected values of voltage stability index at each load bus as well as for the whole system special emphasis is placed on the selection of input information and analysis of the network output results. The generalization capability of the KNN under various operating conditions has been tested. Test results on IEEE 30-bus system show the effectiveness of the proposed approach for monitoring voltage security in power system.

Recommended Citation

Ebraheem, Mohamed Ebraheem and Abd-Raboh Mohamed, El-Hussieny (2021) "Kohonen Neural Network Based Approach for Voltage Security Monitoring of Power Systems.," Mansoura Engineering Journal: Vol. 24 : Iss. 2 , Article 1.
Available at: https://doi.org/10.21608/bfemu.2021.147357