Optimal Wavelet Threshold De-noising Algorithm of Power Quality Based on Improved Particle Swarm Optimization

DOI

10.2991/iccsae-15.2016.164How to use a DOI?

Keywords

Power quality; harmonics; threshold de-noising; PSO; inertia weight.

Abstract

For the issues of local optimum and difficult convergence based on traditional Particle Swarm Optimization (PSO), this paper is proposed a new inertia weight which applies to denoise the harmonic of power quality and enhance the precision when selecting threshold in harmonic signal de-noising, and the results show that the method proposed in this paper significantly improves the signal noise ratio. The effect of de-noising is improved through Matlab simulation.

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  - Bo Sang
AU  - Hongwen Liu
PY  - 2016/02
DA  - 2016/02
TI  - Optimal Wavelet Threshold De-noising Algorithm of Power Quality Based on Improved Particle Swarm Optimization
BT  - Proceedings of the 2015 5th International Conference on Computer Sciences and Automation Engineering
PB  - Atlantis Press
SP  - 884
EP  - 888
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccsae-15.2016.164
DO  - 10.2991/iccsae-15.2016.164
ID  - Sang2016/02
ER  -