A Method Of Automatic Trend Identification On Frequency

DOI

10.2991/ameii-16.2016.91How to use a DOI?

Keywords

frequency trend, automatic identification, data smoothing, trend analysis, power system, WAMS

Abstract

Based on the measured data of wide area measurement system(WAMS),a method of automatic trend identification for frequency in power system is proposed.Using data-smoothing technology to eliminate the influence of the signal noise such as burr to extract the overall trend of the signal and combining with the technology of trend analysis,the automatic identification of the frequency curve is realized by the adaptive algorithm. The method overcomes the shortcomings of the traditional method of hard threshold, which is easy to be disturbed by the noise and has difficulty in setting threshold.At the same time, the calculating speed of the method is high enough to be used for on-line analysis and helping plan dispatching the electric power system.The experimental results show the effectiveness of the proposed method.

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  - Fan Yang
PY  - 2016/04
DA  - 2016/04
TI  - A Method Of Automatic Trend Identification On Frequency
BT  - Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
PB  - Atlantis Press
SP  - 451
EP  - 455
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-16.2016.91
DO  - 10.2991/ameii-16.2016.91
ID  - Yang2016/04
ER  -