Title :
Research on fault element diagnosis in power system based on hierarchical model and switch temporal logic
Author :
Deng Xiangli ; Nan Meng ; Chen Yajie
Author_Institution :
Shanghai Univ. of Electr. Power, Shanghai, China
fDate :
Aug. 31 2014-Sept. 3 2014
Abstract :
When a fault occurs in the power system it is difficult to precisely diagnose the fault elements owning to the missing and false alarm information. Aiming at solving this problem, an expert system diagnosis method based on knowledge network technology is proposed in this paper. In the process of establishing the expert system, this paper puts forward a hierarchical scheduling information classification model, and designs a knowledge network which can be used to calculate the possibility of every knowledge node in the knowledge network by using switching action sequence and protection action logic. According to the result, the faults which have happened can be judged. At last,it takes Shanghai power grid as an example to verify this method.
Keywords :
expert systems; fault diagnosis; power engineering computing; power grids; power system faults; temporal logic; Shanghai power grid; expert system diagnosis method; false alarm information; fault element diagnosis; hierarchical scheduling information classification model; knowledge network technology; knowledge node; power system; protection action logic; switch temporal logic; switching action sequence; Circuit breakers; Circuit faults; Cognition; Expert systems; Fault diagnosis; Knowledge engineering; Power systems; credibility; fault diagnosis; hierarchical model; knowledge grid; power system; temporal logic;
Conference_Titel :
Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), 2014 IEEE Conference and Expo
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-4240-4
DOI :
10.1109/ITEC-AP.2014.6941153