Research on the Power System Frequency Measurement Based on Support Vector Machine

DOI

10.2991/macmc-17.2018.100How to use a DOI?

Keywords

Support vector machine, Power system, Frequency measurement, FFT

Abstract

Power system frequency generates an important impact on operation, control and protection of the power system, and it is the important index of weighing power quality, so it is very necessary to measure it accurately. First, this paper uses the linear regression function to fit the signal including harmonic needed to be measured and the iterative reweighted least squares procedure is educed for signal spectrum analysis. Then, a new method to measure power system frequency is presented. In case of the few sample number, this method, using single frequency to sound out whether it can fit the original signal curve well or not, can measure power system frequency with accuracy by comparing different amplitude. Through discussing three examples and com paring with FFT, it can be proved that the new method has the characteristics of simple computation and high precision.

Copyright

© 2018, 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  - Jiashuo Liu
PY  - 2018/01
DA  - 2018/01
TI  - Research on the Power System Frequency Measurement Based on Support Vector Machine
BT  - Proceedings of the 2017 4th International Conference on Machinery, Materials and Computer (MACMC 2017)
PB  - Atlantis Press
SP  - 538
EP  - 543
SN  - 2352-5401
UR  - https://doi.org/10.2991/macmc-17.2018.100
DO  - 10.2991/macmc-17.2018.100
ID  - Liu2018/01
ER  -