DocumentCode
466236
Title
A Decoupled Dynamical Simulation Method via Modal Partition
Author
Yang, Dan ; Jin, Tao
Author_Institution
Dept. of Market Monitoring, California Independent Syst. Operator, Folsom, CA
fYear
2007
fDate
24-28 June 2007
Firstpage
1
Lastpage
8
Abstract
Dynamical simulation or numerical integration is an important tool used to study dynamical systems. For electric power systems, dynamical simulation is used for analyzing power system dynamics with respect to aspects such as stability and control. For stiff systems, implicit algorithms are typically used to obtain numerical stability, but these are inefficient compared with explicit methods. A hybrid scheme, the decoupled method, combines implicit and explicit formulas to realize both advantages. This paper proposes a decoupled dynamical simulation method based on modal partition and demonstrates its application to electric power systems. The decomposition is achieved in original state space, and stiff and non-stiff subsystems are treated by implicit and explicit methods correspondingly. A numerical stability analysis is given. The computational efficiency and numerical stability of the proposed method are demonstrated through a test power system.
Keywords
integration; numerical stability; power system dynamic stability; decoupled dynamical simulation method; electric power systems; modal partition; numerical integration; numerical stability; power system dynamics; Analytical models; Computational modeling; Inference algorithms; Numerical simulation; Numerical stability; Partitioning algorithms; Power system dynamics; Power system simulation; Power system stability; Stability analysis; A-stability; decoupled method; differential algebraic equations; dynamical simulation; dynamical systems; eigenvalues; numerical integration; ordinary differential equations; power systems; stiff systems; time-domain simulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering Society General Meeting, 2007. IEEE
Conference_Location
Tampa, FL
ISSN
1932-5517
Print_ISBN
1-4244-1296-X
Electronic_ISBN
1932-5517
Type
conf
DOI
10.1109/PES.2007.385854
Filename
4275620
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