Voltage Collapse Prediction Using Artificial Neural Network
Unalleviated voltage instability frequently results in voltage collapse; which is a cause of concern in power system networks across the globe but particularly in developing countries. This study proposed an online voltage collapse prediction model through the application of a machine learning technique and a voltage stability index called the new line stability index (NLSI_1). The approach...
Published at International Journal of Electrical and Computer Engineering (IJECE)
Pages pp. 124~132
Published in 2021
Samuel Isaac, Soyemi Adebola, Awelewa Ayokunle, Katende James, Awosope Claudius
Samuel Isaac » R. Engr. Isaac A. Samuel obtained his Ph.D degree from Covenant University, March 2017. He is a researcher and faculty at the Department of Electrical and Information Engineering, College of Engineering, Ota, Ogun State. He obtained his PGD and M Eng. degree in Electrical Engineering and obtained a PGD in Management from Bayero University, Kano. He is a Registered Engineer with COREN. He has a... view full profile
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