Parallel Algorithm for Transient Stability Online Simulation

Abstract:

Parallel computation is an effective approach to real-time simulation and transient stability online assessment of large-scale power systems. In this paper, the s-stage 2s-order symplectic Runge-Kutta-Nyström method is adopted for transient stability simulation of power system using classic model. Using Butcher transformation, a new parallel algorithm has been derived. The proposed algorithm has the convergence characteristic of a Newton type method and is of fully parallel-in-time. Through numerical simulation where the IEEE 145-bus power system is used, the proposed algorithm has been tested and compared with the conventional parallel-in-time Newton approach using implicit trapezoidal rule.

• Periodical: Advanced Materials Research (Volumes 433-440)
• Pages: 4446-4451
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.433-440.4446
• Online since: January 2012
• Authors: Tian Liang Xue, Fang Zong Wang, Jing Ye
• Keywords: Butcher Transformation, Parallel Algorithm, Runge-Kutta-Nyström Method, Symplectic Algorithm, Transient Stability

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DOI: 10.1007/bf01932265