The Detection Method of Load Transient Characteristics Based on Second-order Statistics

DOI

10.2991/icca-16.2016.34How to use a DOI?

Keywords

Non-intrusive, Load transient characteristics, Second-order statistics, Autocorrelation function, Auto-covariance function

Abstract

In non-intrusive load monitoring, types and operation situation of a single load in cluster are obtained by analyzing the power signal at the electricity entrance. With the increasing complexity of large grid structure and the continuous development of smart grids, non-intrusive load monitoring is getting more important. In this paper, a load transient characteristics detection method based on second-order statistics is studied, the non-intrusive load monitoring system architecture involved in this paper is elaborated in detail. On the basis of the measured data load, load transient features are analyzed in-depth, simulation results are given.

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  - Bing Qi
AU  - Hui Bai
AU  - Xin Wu
PY  - 2016/01
DA  - 2016/01
TI  - The Detection Method of Load Transient Characteristics Based on Second-order Statistics
BT  - Proceedings of the 2016 International Conference on Intelligent Control and Computer Application
PB  - Atlantis Press
SP  - 150
EP  - 154
SN  - 2352-538X
UR  - https://doi.org/10.2991/icca-16.2016.34
DO  - 10.2991/icca-16.2016.34
ID  - Qi2016/01
ER  -