Disturbance Magnitude Estimation using Artificial Neural Network Method

Abstract

The approach of this paper is to estimate the generated power of a generation that encounters an outage in a power system from the frequency response under a few seconds after transient state of the disturbance. By knowing the magnitude of the supply, the removed load may be adjusted with adaptive under frequency load shedding (AUFLS) relay that lead stable in frequency system. The method of estimation is using the Artificial Neural Network (ANN), the data training is obtained from the swing equation, then tested using The New England IEEE 39 Bus System from the frequency response after disturbance for every generator. The objective is to compare the error of three minimum sampling time that used shortly after the disturbance.