Fault Diagnosis System of Power Grid Based on Multi-Data Sources
Fault Diagnosis System of Power Grid Based on Multi-Data Sources
复制标题
基于多数据源的电网故障诊断系统
DOI:
10.3390/app11167649
复制
发表时间:
2021-08
影响因子:
2.7
通讯作者:
Wei Ding
中科院分区:
文献类型:
--
作者:
Jinjie Ji;Qing Chen;Lei Jin;Xiaotong Zhou;Wei Ding
In order to complete the function of power grid fault diagnosis accurately, rapidly and comprehensively, the power grid fault diagnosis system based on multi-data sources is proposed. The integrated system uses accident-level information, warning-level information and fault recording documents and outputs a complete diagnosis and tracking report. According to the timeliness of three types of information transmission, the system is divided into three subsystems: real-time processing system, quasi-real-time processing system and batch processing system. The complete work is realized through the cooperation between them. While a real-time processing system completes fault diagnosis of elements, it also screens out incorrectly operating protections and circuit breakers and judges the loss of accident-level information. Quasi-real-time system outputs reasons for incorrect actions of protections and circuit breakers under the premise of considering partial warning-level information missing. The batch processing system corrects diagnosis results of the real-time processing system and outputs fault details, including fault phases, types, times and locations of faulty elements. The simulation results and test show that the system can meet actual engineering requirements in terms of execution efficiency and fault diagnosis and tracking effect. It can be used as a reference for self-healing and maintenance of power grids and has a preferable application value.
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DOI:
--
发表时间:
2009
期刊:
--
影响因子:
--
作者:
G. Chuangxin;Peng Ming-wei;Liu Yi
通讯作者:
G. Chuangxin;Peng Ming-wei;Liu Yi
DOI:
--
发表时间:
2012
期刊:
--
影响因子:
--
作者:
Gao Zhanjun
通讯作者:
Gao Zhanjun
DOI:
10.1016/j.ijepes.2019.105500
发表时间:
2020-02
影响因子:
5.2
作者:
Zhengwei Shen;H. Chiang;Yong Tang;N. Zhou
通讯作者:
Zhengwei Shen;H. Chiang;Yong Tang;N. Zhou
影响因子:
3.2
作者:
Qing Chen;Xiaotong Zhou;Mengxuan Sun;Xiaotong Zhang
通讯作者:
Xiaotong Zhang
DOI:
--
发表时间:
2013
期刊:
--
影响因子:
--
作者:
Li Zhaofei
通讯作者:
Li Zhaofei