Research of Power Grid Fault Diagnosis and Intelligent Analysis Method Based on Multi-Source Information

DOI

10.2991/mcei-16.2016.64How to use a DOI?

Keywords

Integration of scheduling and control; Energy management system; Fault diagnosis; Intelligent analysis; Multi-source information

Abstract

With the integration of scheduling and control promote, the warn processing function of existing power dispatching automation system such as energy management system need improved. In order to facilitate the supervisor of Power Dispatch and Centralized Control Center to understand the operation state of the power grid accurately, the warn processing function distributed in each system should be processed synthetically. This paper presents a noval method for Power system fault diagnosis and intelligent analysis based on fusion of multi-source information, it can determine the location of the fault quickly then make reference decisions. It can not only improve the efficiency of supervisor but also avoid accident and abnormal further expansion.

Copyright

© 2017, 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/).

Download article (PDF)

TY  - CONF
AU  - Qingquan Wu
AU  - Le Huang
AU  - Houbing Deng
PY  - 2016/12
DA  - 2016/12
TI  - Research of Power Grid Fault Diagnosis and Intelligent Analysis Method Based on Multi-Source Information
BT  - Proceedings of the 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
PB  - Atlantis Press
SP  - 303
EP  - 309
SN  - 1951-6851
UR  - https://doi.org/10.2991/mcei-16.2016.64
DO  - 10.2991/mcei-16.2016.64
ID  - Wu2016/12
ER  -