Research on Harmonic Analysis in Power Systems Based on Neural Network
Available Online March 2016.
- 10.2991/icmmct-16.2016.17How to use a DOI?
- Harmonic analysis; Electric power system; Neural network; Algorithm; Computer simulation
A new harmonic analysis method for electric power systems based on triangle basis functions neural network was presented, the convergence theorem of the algorithm was proposed, and a window function and interpolation algorithm were employed to correct the frequency of fundamental waves. This approach does not require synchronized sampling and integer period truncation, and can obtain directly the frequencies, amplitudes and phases of fundamental waves and harmonics. The result of computer simulations has shown that the algorithm is an ideal analysis method with high precision, small amount of calculation and speedy convergence.
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Rui-peng Yang PY - 2016/03 DA - 2016/03 TI - Research on Harmonic Analysis in Power Systems Based on Neural Network BT - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology PB - Atlantis Press SP - 85 EP - 90 SN - 2352-5401 UR - https://doi.org/10.2991/icmmct-16.2016.17 DO - 10.2991/icmmct-16.2016.17 ID - Yang2016/03 ER -