Abstract
The on-line Transient Stability Analysis (TSA) is a challenge problem in power systems, concerning the detection of fault conditions (contingencies) which can produce instability in the power networks. In the paper the issues related to the use of metacomputing for on-line TSA have been analyzed and a solution is proposed allowing the simulation of hundreds of dynamic stability contingencies as required for an accurate TSA. The virtual nodes of the proposed metacomputer are based both on parallel, distributed and vector machines. A class of TSA algorithms have been implemented and tested on each virtual node, exploiting dynamic load-balancing technique and evaluating for each node the more appropriate decomposition scheme. PVM has been used as communication environment among virtual nodes of the metacomputer, while Express has been used on some local parallel resources. The tests were carried out in order to design a metacomputing experiment based on the research network infrastructure available in Italy for academic and research institutions (GARR) and on the ATM network resources provided by the NeaNet experimental environment available in the Naples area.
Preview
Unable to display preview. Download preview PDF.
References
D.J. Tylavsky, A. Bose, et alii, “Parallel Processing in Power Systems Computation”, IEEE Transactions on Power Systems, Vol.7, n.2, May 1992, pp. 629–638.
F.M. Brasch, J.E. Van Ness and S.C. Kang, “Design of multiprocessor structures for simulation of power system dynamics”, EPRI Final Report, vol. EL-1756, RP1355-1, 1981.
S.Y. Lee, H.D. Chiang, K.G. Lee and B.Y. Ku, “Parallel power system transient stability analysis on hypercube multiprocessors”, Proc. 1989 Power Industry Computer Applications Conference, Seattle, May 1989, pp. 400–406.
“Extended Transient-Midterm Stability Package: Technical Guide for the Stability Program, EPRI EL-2000-CCM-Project 1208, Jan. 1987.
I.C. Decker, D.M. Falcao and E. Kaszkurewicz, “Parallel implementation of a power system dynamic simulation methodology using the conjugate gradient method”, IEEE Trans. on Power Systems, vol. 7, Feb. 1992, pp. 458–465.
M. Ilic'-Spong, M.L. Crow and M. A. Pai, “Transient stability simulation by waveform relaxation methods”, IEEE Trans. on Power Systems, vol. 2, Nov. 1987, pp. 943–952.
M.L. Crow and M. Ilic, “The parallel implementation of the waveform relaxation method for transient stability simulations”, IEEE Trans. on Power Systems, vol. 5 Aug. 1990, pp. 922–932.
J.S. Chai, N. Zhu, A. Bose and D.J. Tylavsky, “Parallel Newton type methods for power system stability analysis using local and shared memory multiprocessors”, IEEE Trans. on Power Systems, vol. 6, Nov. 1991, pp. 1539–1545.
M. La Scala, G. Sblendorio and R. Sbrizzai, “Parallel-in-time implementation of transient stability simulations on a transputer network”, IEEE Trans. on Power Systems, vol. 9, May 1994, pp. 1117–1125.
G. Aloisio, M.A. Bochicchio, M. La Scala, R. Sbrizzai, “A distributed computing approach for realtime transient stability analysis”, to appear on IEEE Trans. on Power System.
G.P. Granelli, M. La Scala, M. Montagna, F. Torelli, “Relaxation-Newton methods for transient analysis on a vector/parallel computer”, IEEE Trans. on Power Systems, Vol.9, N.2, May 1994, pp. 637–643.
M. La Scala, G. Sblendorio, A. Bose, J.Q.Wu, “Comparison of parallel-in-time and in-space algorithms for transient stability simulations on shared and distributed memory multiprocessors”, to appear on IEEE Trans. on Power Systems.
S. Hariri and A. Varma, “High-performance distributed computing: promises and challenges, Concurrency: Practice and Experience, Vol. 5(4), June 1993, pp. 223–233.
Parasoft Corporation, EXPRESS Reference Manual, 1988
V.S. Sunderam, “PVM: a framework for parallel distributed computing”, Concurrency: Practice and Experience, Vol. 2(4), December 1990, pp. 315–339.
G.A. Geist and V.S. Sunderam, “Network-based concurrent computing on the PVM system, Concurrency: Practice and Experience, Vol. 4(4), June 1992, pp. 293–311.
J. L. Gustavson, G. R. Montry and R. E. Benner, “Development of Parallel Methods for a 1024-Processor Hypercube”, SIAM Journal on Scientific and Statistical Computing, Vol.9, N.4, July 1988.
B.K. Schmidth and V. Sunderam, “Empirical analysis of overheads in cluster environments”, Concurrency, Practice and Experiences., vol.6, Feb.1994, pp. 1–32.
G. Betello, G. Richelli, S. Succi, F. Ruello,“Lattice Boltzman method on a cluster of IBM RISC sytem/6000 workstations”, Concurrency, Practice and Experiences, vol.5, June 1993, pp. 359–366.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1996 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Aloisio, G., Bochicchio, M.A., La Scala, M. (1996). Metacomputing for on-line Stability Analysis in power systems: A proposal. In: Liddell, H., Colbrook, A., Hertzberger, B., Sloot, P. (eds) High-Performance Computing and Networking. HPCN-Europe 1996. Lecture Notes in Computer Science, vol 1067. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61142-8_579
Download citation
DOI: https://doi.org/10.1007/3-540-61142-8_579
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-61142-4
Online ISBN: 978-3-540-49955-8
eBook Packages: Springer Book Archive