DocumentCode
2870890
Title
Monitoring of Power System Dynamic Behavior Using Characteristic Ellipsoid Method
Author
Makarov, Yuri V. ; Miller, C.H. ; Nguyen, Tan B. ; Jian Ma
Author_Institution
Pacific Northwest Nat. Lab. (PNNL), Washington
fYear
2008
fDate
7-10 Jan. 2008
Firstpage
186
Lastpage
186
Abstract
The potential uses of the sub-second GPS- synchronized phasor data collected from various locations within an electric power system promise endless benefits for the applications targeting reliable operation of electric power systems. Despite the undisputable progress achieved in developing visualization tools, alarming tools, modal analysis tools, and statistical analysis tools based on synchrophasor data, there is an emerging need to develop more real-time phasor-based applications. This paper discusses an initial idea of the characteristic ellipsoid approach to monitor the dynamic behavior of an interconnected power system using phasor measurements. This method can be a useful tool for providing wide-area situational awareness for grid operators, identification of system disturbances and detection of system stresses and their locations.
Keywords
condition monitoring; data visualisation; power grids; power system interconnection; power system measurement; statistical analysis; alarming tools; characteristic ellipsoid method; electric power system; grid operators; interconnected power system; modal analysis tools; power system dynamic behavior monitoring; real-time phasor-based applications; statistical analysis tools; sub-second GPS-synchronized phasor data; system disturbances identification; system stresses detection; visualization tools; Data visualization; Ellipsoids; Modal analysis; Monitoring; Power system analysis computing; Power system dynamics; Power system interconnection; Power system measurements; Power system reliability; Statistical analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Hawaii International Conference on System Sciences, Proceedings of the 41st Annual
Conference_Location
Waikoloa, HI
ISSN
1530-1605
Type
conf
DOI
10.1109/HICSS.2008.322
Filename
4438890
Link To Document