The Monitoring of Electrical System in Stability Using Neural Network by Logistic Regression Model

Abstract

This project presents a power system stability check using Neuron Networks, where the program analyzes the received data and displays the system stability as a percentage. In this article, we will discuss the Logistic Model used to analyze and predict the results obtained from the program. The parameters used to analyze the power system are voltage, current, power factor, THDv, and THDi, so that users can assess the period of time that the power system has changed and can find a way to do it. maintain the stability of the electrical system.