Research of the Design of Hybrid Power Compensation Controller Based on Neural Networks

DOI

10.2991/icmmct-16.2016.16How to use a DOI?

Keywords

Neural networks; Hybrid power compensation; Electric filters; Harmonics compensation

Abstract

The problem of harmonics compensation in power system was concerned in this paper. The method based on artificial neural network (ANN) about how to design the hybrid power compensation (HPC) controller was proposed. The HPC controller can automatically measure the harmonic currents and automatically change the compensate elements to realize the harmonic compensation. The concrete method of the ANN technology the training and test was described. The simulation results prove the validity using the ANN technology to control the HPC is an effective way to improve its dynamic performance.

Copyright

© 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/).

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TY  - CONF
AU  - Jian-wei Zhao
PY  - 2016/03
DA  - 2016/03
TI  - Research of the Design of Hybrid Power Compensation Controller Based on Neural Networks
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
PB  - Atlantis Press
SP  - 80
EP  - 84
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-16.2016.16
DO  - 10.2991/icmmct-16.2016.16
ID  - Zhao2016/03
ER  -