Title :
China´s Research Status Quo and Development Trend of Power Grid Fault Diagnosis
Author :
Ma, Min ; Zhao, Dongmei ; Zhang, Xu ; Liu, Dongran
Author_Institution :
Sch. of Electr. & Electron. Eng., North China Electr. Power Univ., Beijing, China
Abstract :
Fault diagnosis is the basic condition for smart grid to achieve the self-healing function, and it is also one of the important research topics of the intelligent dispatching decision support system. On the basis of analyzing its concept and aiming at the current status of China´s studies, this paper reviewed and summarized several intelligent fault diagnosis methods, including expert system, artificial neural networks, rough set theory, data mining techniques, multi-agent technology and the entropy theory, then pointed out their application characteristics and existing problems, and finally the prospects of further development in this field were presented.
Keywords :
decision support systems; fault diagnosis; power engineering computing; smart power grids; China; Status Quo; artificial neural networks; data mining techniques; entropy theory; fault diagnosis methods; intelligent dispatching decision support system; multi-agent technology; power grid fault diagnosis; rough set theory; self-healing function; smart grid; Artificial intelligence; Artificial neural networks; Decision support systems; Diagnostic expert systems; Dispatching; Fault diagnosis; Intelligent networks; Power grids; Set theory; Smart grids;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-4812-8
Electronic_ISBN :
978-1-4244-4813-5
DOI :
10.1109/APPEEC.2010.5448934