Voltage Disturbance Identification using Neural Network

Abstract

Voltage disturbance, as well as other power quality issues which include electromagnetic interference phenomena, are dangerous power quality issues that can cause sensitive equipment to fail, especially in industrial or hospital environments. Identifying voltage disturbance has an important role to mitigate the degradation of power quality disturbances due to their negative impact on the equipment. The Neural network is used to identify voltage disturbance. This paper presents a combination of identification of voltage disturbance by using a neural network with a multipoint measurement method. This method simplifies the identification of voltage disturbance at multiple point using only one measurement.