DocumentCode :
2015377
Title :
Parallel contingency analysis in a high performance computing environment
Author :
Ezhilarasi, G. Angeline ; Swarup, K.S.
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol. Madras, Chennai, India
fYear :
2009
fDate :
27-29 Dec. 2009
Firstpage :
1
Lastpage :
6
Abstract :
This paper proposes a parallel processing approach to contingency analysis (CA) for power system security evaluation. Full AC power flow analysis is done for each contingency and violations of bus voltages and line flows are evaluated. All possible line outages are considered to avoid overlooking of certain critical cases. Parallel Processing is employed to increase the speed of execution. Parallelism is achieved by sharing each contingency across processors. The proposed methodology is implemented in a Linux Cluster. Data communication is performed through the Message Passing Interface (MPI). The effectiveness of parallelism is demonstrated by performing contingency analysis on standard IEEE Systems. The performance of the algorithm is analyzed in terms of computation speed and efficiency in comparison with the sequential approach.
Keywords :
Linux; application program interfaces; message passing; parallel processing; power system analysis computing; power system security; AC power flow analysis; Linux cluster; MPI; data communication; high performance computing environment; message passing interface; parallel contingency analysis; parallel processing approach; power system security evaluation; standard IEEE Systems; Clustering algorithms; Data communication; High performance computing; Linux; Load flow analysis; Message passing; Parallel processing; Performance analysis; Power system security; Voltage; Contingency Analysis; Message Passing Interface; Parallel Processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Systems, 2009. ICPS '09. International Conference on
Conference_Location :
Kharagpur
Print_ISBN :
978-1-4244-4330-7
Electronic_ISBN :
978-1-4244-4331-4
Type :
conf
DOI :
10.1109/ICPWS.2009.5442650
Filename :
5442650
Link To Document :
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