Convergence and stability of a parallel computation algorithm in power systems

Author

Feng, Wei ; Jing, Zhujun ; Chen, Luonan

Author_Institution

Acad. of Math. & Syst. Sci., Acad. Sinica, Beijing, China

Volume

3

fYear

2002

fDate

2002

Firstpage

1563

Abstract

In this paper, we develop a parallel computation algorithm for power system operation and stability analysis, and then theoretically prove the numerical stability and convergence of the proposed procedure. The proposed approach is based on decomposition strategy, and can provide not only accurate evaluation of power system dynamics due to adoptation of implicit integration but also efficient computation even for large-scale power systems in real-time simulation.

Keywords

Runge-Kutta methods; convergence of numerical methods; differential equations; numerical stability; parallel algorithms; power system analysis computing; power system stability; real-time systems; convergence; decomposition strategy; differential algebraic equations; implicit Runge-Kutta integration; large-scale power systems; numerical stability; parallel computation algorithm; power system dynamics; power system operation; power system stability analysis; quasi-Newton method; real-time simulation; Concurrent computing; Convergence of numerical methods; Large scale integration; Numerical stability; Power system analysis computing; Power system dynamics; Power system simulation; Power system stability; Real time systems; Stability analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Power System Technology, 2002. Proceedings. PowerCon 2002. International Conference on

Print_ISBN

0-7803-7459-2

Type

conf

DOI

10.1109/ICPST.2002.1067795

Filename

1067795