Title :
Electric pollution studies in mesh type MTDC system using neural network
Author :
Narendra, K.G. ; Chandrasekharaiah, H.S.
Author_Institution :
Dept. of High Voltage Eng., Indian Inst. of Sci., Bangalore, India
Abstract :
The authors propose 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.
Keywords :
digital simulation; neural nets; power system analysis computing; power system harmonics; series (mathematics); Fourier series; accuracy; digital simulation; electric pollution; harmonics; mesh type; multi terminal DC power system; neural network; power system analysis computing; Differential equations; Fourier series; Intelligent networks; Matrix converters; Neural networks; Pollution; Polynomials; Power harmonic filters; Symmetric matrices; Voltage;
Conference_Titel :
Neural Networks to Power Systems, 1993. ANNPS '93., Proceedings of the Second International Forum on Applications of
Conference_Location :
Yokohama, Japan
Print_ISBN :
0-7803-1217-1
DOI :
10.1109/ANN.1993.264322
