Title :
An application of neural network in power system harmonic detection
Author :
Rukonuzzaman, Md. ; Zin, A. A Mohd ; Shaibon, H. ; Lo, K.L.
Author_Institution :
Fac. of Electr. Eng., Malaya Teknologi Univ., Malaysia
Abstract :
Widely distributed power electronic loads are an increasingly important source of harmonics in power systems. The objective of the paper is to detect the components (magnitudes and phases) of harmonics in power distribution systems by means of the multilayer perceptron neural network. The detection of 3rd, 5th and 7th harmonic components is verified by means of computer simulation. This method of harmonic detection has the advantage that it can determine harmonic components in real time. It is seen that neural networks can determine the harmonic components with very low error
Keywords :
digital simulation; multilayer perceptrons; power engineering computing; power system harmonics; 3rd harmonic component; 5th harmonic component; 7th harmonic component; multilayer perceptron neural network; power distribution systems; power system harmonic detection; Computer errors; Computer simulation; Multi-layer neural network; Multilayer perceptrons; Neural networks; Phase detection; Power distribution; Power electronics; Power system harmonics; Power system simulation;
Conference_Titel :
Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-4859-1
DOI :
10.1109/IJCNN.1998.682239
