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The PC Clustering of the SIMD Structure for a Distributed Process of On-line Contingency  

Jang, Se-Hwan (건국대학 전기공학과)
Kim, Jin-Ho (경원대학 전기정보공학과)
Park, June-Ho (부산대학 전기공학과)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.57, no.7, 2008 , pp. 1150-1156 More about this Journal
Abstract
This paper introduces the PC clustering of the SIMD structure for a distributed processing of on-line contingency to assess a static security of a power system. To execute on-line contingency analysis of a large-scale power system, we need to use high-speed execution device. Therefore, we constructed PC-cluster system using PC clustering method of the SIMD structure and applied to a power system, which relatively shows high quality on the high-speed execution and has a low price. SIMD(single instruction stream, multiple data stream) is a structure that processes are controlled by one signal. The PC cluster system is consisting of 8 PCs. Each PC employs the 2 GHz Pentium 4 CPU and is connected with the others through ethernet switch based fast ethernet. Also, we consider N-1 line contingency that have high potentiality of occurrence realistically. We propose the distributed process algorithm of the SIMD structure for reducing too much execution time on the on-line N-1 line contingency analysis in the large-scale power system. And we have verified a usefulness of the proposed algorithm and the constructed PC cluster system through IEEE 39 and 118 bus system.
Keywords
Contingency analysis; Distributed process; PC cluster system;
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  • Reference
1 Fangxing Li, 'Distributed Processing of Reliability Index Assessment and Reliability-Based Network Reconfiguration in Power Distribution Systems', IEEE Transaction on Power Systems, Vol.20, No.1, Feb. 2005
2 T. Y. Hsiao, 'A risk-based contingency selection method for SPS applications 0 ', IEEE Trans. on power system, Vol. 21, No. 2, May 2006
3 David H. M., Building linux clusters, O'reilly & Associates, 2000
4 Allen J. Wood, 'Power generation, operation & control', book, John wiley, 1996
5 Tarlochan S. Sidhu, 'Contingency screening for steady-state security analysis by using FFT and artificial neural networks', IEEE Trans. on power system, Vol. 15, No. 1, Feb. 2000
6 G. C. Ejebe and B. F. Wollenberg, 'Automatic contingency selection', IEEE Trans. on PAS., Vol. PAS-98, pp 97-109, Jan/Feb. 1979   DOI
7 Norberto Garcia, 'Periodic steady-state analysis of large-scale electric systems using poincare map and parallel processing', IEEE Trans. on Power Systems, vol.19, No.4, Nov. 2004
8 David A. Lifka, 'High performance computing with microsoft windows2000,' Proc. of the 2001 IEEE Conference on Cluster Computing, pp. 47-54, 2001
9 J.-Y. Choi, J.-R. Shin, and M.-H. Kim, 'Parallel computing environment based on windows operating system,' 한국항공우주학회지, May 2002
10 Pandelis N. Biskas, 'A Decentralized Implementation of DC OPtimal Power Flow on a Network of Computers', IEEE Transaction on Power Systems, Vol. 20, No. 1, Feb. 2005
11 원영주, '슈퍼컴퓨터 병렬처리 알고리즘', 전기학회지, 1989.7
12 http://www-unix.mcs.anl.gov/mpi/mpich
13 Edson Luiz da Silva, 'Parallel Processing Applied to the planing of Hydrothermal Systems', IEEE Transactions on parallel and distributed systems, Vol.14, No.8, Aug. 2003
14 Chung. S. H., Ryu K. R., O S. C., and Park S. H., 'Parallel processing system for high speed information retrieval,' Parallel Processing System Newsletters, vol. 7, No. 2, pp. 3-19, 1996
15 http://www.ee.washington.edu/research/pstca/
16 Jorge Ariel Hollman, 'Real Time Network Simulation with PC-cluster', IEEE Trans. on Power Systems, vol.18, No.2, May 2003
17 Michele Di Santo, 'A Distributed Architecture for Online Power Systems Security Analysis', IEEE Transactions on Industrial Electronics, Vol.51, No.6, Dec.2004   DOI
18 Florin Capitanescu, 'Contingency Filtering Techniques for Preventive Security-Constrained Optimal Power Flow', IEEE Trans. on power system, Vol. 22, No. 4, Nov. 2007