Abstract
In this paper, we introduce graph theory into transient stability analysis in power system. In the weighted graph, Vertex weight represents node’s parallel computing workload and edge weight represents serial computing workload on the border of regions, which reflects the degree of parallelism of computing and improves speed-up ration of system. In order to reduce communication time wastage induced by CSMA protocol in TCP/IP based LAN, asynchronous message passing is used in our method. Simulation results show that it achieves better performance.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Chan, K.W.: Parallel algorithms for direct solution of large sparse power system matrix equations. IEEE Proceeding-C; Generation, Transmission and Distribution 148(6), 615–622 (2001)
Ning, Z., Anjan, B.: A dynamic partitioning scheme for parallel transient stability analysis. IEEE Transactions on Power Systems 7(2), 940–946 (1992)
Fang, Y.J., Xue, Y.: An on-line pre-decision based transient stability control system for the Ertan power system. In: International Conference on PowerCon 2000, December 2000, vol. 1, pp. 287–292. IEEE, Los Alamitos (2000)
Chao, H.: Implementation of parallel-in-time Newton method for transient stability analysis on a message passing multicomputer. In: International Conference on PowerCon 2002, October 2002, vol. 2, pp. 1239–1243. IEEE, Los Alamitos (2002)
Iavernaro, F., La Scala, M., Mazzia, F.: Boundary values methods for time-domain simulation of power system dynamic behavior. IEEE Transactions on Circuits and Systems 45(1), 50–63 (1998)
Ya-lou, L., et al.: Personal Computer Cluster based Parallel Algorithms for Power System Electromechanical Transient Stability Simulation. Power System Technology 27(11) (2003)
Hong, C., Shen, C.M.: A Parallel-in-space algorithm for Power System Transient Stability Simulation. Power System Technology 24(5), 20–24 (2000)
Decker, I.C., Falcao, D.M., Kaszkurewicz, E.: Conjugate gradient methods for power system dynamic simulation on parallel computers. IEEE Transactions on Power Systems 11(3), 1218–1227 (1996)
Tu, F., Flueck, A.J.: A message-passing distributed-memory parallel power flow algorithm. IEEE 1, 211–216 (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Huang, C., Chen, M. (2005). Distributed Network Computing on Transient Stability Analysis and Control. In: Pan, Y., Chen, D., Guo, M., Cao, J., Dongarra, J. (eds) Parallel and Distributed Processing and Applications. ISPA 2005. Lecture Notes in Computer Science, vol 3758. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11576235_74
Download citation
DOI: https://doi.org/10.1007/11576235_74
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29769-7
Online ISBN: 978-3-540-32100-2
eBook Packages: Computer ScienceComputer Science (R0)