Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)

A Method Of Automatic Identification On Power Oscillation

Authors
Fan Yang
Corresponding Author
Fan Yang
Available Online April 2016.
DOI
10.2991/ameii-16.2016.92How to use a DOI?
Keywords
ower oscillation, automatic identification, data smoothing, envelope detection, power system
Abstract

In order to identify the power oscillation of the power grid and take the corresponding measures quickly,a method of identification for power oscillation based on the measured signal curve in power system is proposed.The measured data is processed to extract the overall trend of the signal and combining with the technology of envelope detection and the soft threshold,the intelligent analysis of the power curve and the fast identification of the power oscillation is realized by the adaptive algorithm.The method can judge the beginning time of the disturbance within several cycles as well as overcome the shortcomings of the traditional method of hard threshold,which is not accurate enough.Finally,the effectiveness of the proposed method is verified by an example of power oscillation in the power grid.

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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Volume Title
Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
Series
Advances in Engineering Research
Publication Date
April 2016
ISBN
10.2991/ameii-16.2016.92
ISSN
2352-5401
DOI
10.2991/ameii-16.2016.92How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Fan Yang
PY  - 2016/04
DA  - 2016/04
TI  - A Method Of Automatic Identification On Power Oscillation
BT  - Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
PB  - Atlantis Press
SP  - 456
EP  - 459
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-16.2016.92
DO  - 10.2991/ameii-16.2016.92
ID  - Yang2016/04
ER  -