DocumentCode :
2681406
Title :
Novel method for disturbance identification in power systems
Author :
Bi, T.S. ; Song, X.N. ; Wu, J.T. ; Yang, Q.X.
Author_Institution :
Key Lab. of Power Syst. Protection & Dynamic Security Monitoring & Control, North China Electr. Power Univ., Beijing
fYear :
0
fDate :
0-0 0
Abstract :
With the development of power grid interconnection, it is necessary for operators to know about system dynamic status while disturbance occurs in power systems in order to take appropriate counter measures to ensure the power system security. The advent of wide area measurement system (WAMS) makes the monitoring of power system dynamic behavior become possible. Based on WAMS, a method for identifying different kinds of disturbance in power system is presented in this paper. Firstly, the features of disturbances (i.e. short circuit, load shedding and loss of generation) that frequently occur in power system are analyzed in detail. Then, based on the idea of pattern recognition, the suggested disturbance identification method is discussed. Finally, computer simulation results are carried out in North China power grid, which demonstrate the validity of theoretical analysis and the feasibility of the proposed disturbances identification method
Keywords :
fault location; load shedding; pattern recognition; power grids; power system faults; power system interconnection; power system security; North China power grid; load shedding; pattern recognition; power grid interconnection; power system security; power systems disturbance identification; wide area measurement system; Integrated circuit interconnections; Power grids; Power system analysis computing; Power system dynamics; Power system interconnection; Power system measurements; Power system security; Power system simulation; Power systems; Wide area measurements; WAMS; disturbance identification; pattern recognition; power systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering Society General Meeting, 2006. IEEE
Conference_Location :
Montreal, Que.
Print_ISBN :
1-4244-0493-2
Type :
conf
DOI :
10.1109/PES.2006.1709431
Filename :
1709431
Link To Document :
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