Title :
Analysis of sag vulearability area of a large power system based on information fusion of CIM
Author :
Jiajia Xue ; Shun Tao ; Shuangya Zhou ; Xiangning Xiao
Author_Institution :
North China Electr. Power Univ., Beijing, China
Abstract :
This paper proposes an information fusion method of Common Information Model(CIM) for analysis of sag vulnerability area, in order to automatically track the operation state of system. Multiplayer structure of information fusion containing data fusion, feature fusion and decision fusion, is built to obtain basic data required by analysis of sag vulnerability area like topologies, equipment parameters, the measured values of bus voltage, etc. Then the flow chart for calculating sag vulnerability area is given and fault position method based on interpolation is adopted. Finally, the method is applied to a large region grid and results show its possibility. Based on such a mode of sag vulnerability area analysis, it is also discussed for further application research.
Keywords :
SCADA systems; interpolation; power engineering computing; power supply quality; power system faults; sensor fusion; CIM information fusion method; SCADA system; common information model information fusion method; data fusion; decision fusion; fault position method; feature fusion; flow chart; interpolation; power system; sag vulnerability area analysis; Automation; Flowcharts; Impedance; Monitoring; Switches; CIM; fault position method; information fusion; operation state of system; sag vulnerability area;
Conference_Titel :
Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE), 2013 International Conference on
Conference_Location :
Konya
Print_ISBN :
978-1-4673-5612-1
DOI :
10.1109/TAEECE.2013.6557322