Performance of Sag events using artificial neural network: article / Norfarizani Nordin

Voltage sag is one of the Power Quality problems which happen in equipments or even in the transmission line of power system. When lightning strikes, it carries a very high current and may cause the voltage to drop. Hence, there will be an energy lost in the site or building. This energy lost and also the sag score value in every sag events can be calculated but the validity of the calculated data is quite questionable. Thus the objectives of this paper is to compare between the monitored and calculated data and to show the performance of sag score and energy lost in sag events using Artificial Neural Network (ANN)-MATLAB. In order to test the validity of sag score and energy lost, two methods were used; first by calculating sag score and energy lost during sag event from monitored and captured data, second is by feeding the calculated data into the artificial neural network. Results of calculated data will be compared with the results obtained using ANN. It is hoped that the validity of the calculated sag score and energy lost during sag are accurate for monitoring purposes.