Electric Pollution Studies in Mesh Type MTDC System Using Neural Network

摘要

In this paper we are proposing a Neural Network identifier to estimate the electric pollution (harmonics) contents present in the voltage and current signals of a mesh type Multi Terminal Direct Current (MTDC) system under dynamic conditions. A digital computer program has been developed to implement the Neural Network and a modified form of Fourier series representation which improves the accuracy of the results is discussed.