Title :
On complex network approach for fault detection in power grids
Author :
Yu, Xinghuo ; Dwivedi, Ajendra ; Sokolowski, Peter
Author_Institution :
Sch. of Electr. & Comput. Eng., RMIT Univ., Melbourne, VIC, Australia
Abstract :
The latest developments in complex network theory have provided a new direction for power system research. Based on this theory a power system can be modeled as a graph with nodes and vertices and further analysis can help in addressing typical problems such as identifying the vulnerable lines and pole fires, and locating faults. This paper reports some of our recent research in this area and discusses some potential areas in power grids where the complex network theory can be used.
Keywords :
fault location; graph theory; power grids; complex network theory; fault detection; graph theory; pole fires; power grids; Biological system modeling; Complex networks; Electrical fault detection; Fault detection; Fires; Power grids; Power system analysis computing; Power system faults; Power system modeling; Power systems; Complex network theory; cascading failures; fault location; pole fires; power grid;
Conference_Titel :
Control and Automation, 2009. ICCA 2009. IEEE International Conference on
Conference_Location :
Christchurch
Print_ISBN :
978-1-4244-4706-0
Electronic_ISBN :
978-1-4244-4707-7
DOI :
10.1109/ICCA.2009.5410218
