Paper Info
Title
Dynamical Equivalencing Of Large-Scale Power Systems Using Second-Order Arnoldi Algorithms
Abstract
This paper proposes a technique for constructing dynamical equivalent networks of large-scale linearized power systems by using the Second-Order Arnoldi (SOAR) algorithm. Since the power system can be described by second-order swing equations, it is desired to construct a reduced-order model which can preserve its second-order structure. Inspired by the SOAR algorithm for single input systems, we will extend it with considering multiple inputs. Both block Arnoldi methods and global Arnoldi methods are investigated. System data of the reduced second-order system are obtained by the congruence transformation. Simulations about 50-machine power systems are performed to demonstrate the accuracy of the dynamical equivalent networks.
Year
DOI
Venue
2009
10.1109/ISCAS.2009.5118177
ISCAS: 2009 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-5
Keywords
Field
DocType
power system,computational modeling,mathematical model,sparse matrices,power system simulation,nickel,algorithms,second order,manganese,power systems,mimo,second order system
Second-order logic,Control theory,Arnoldi iteration,Matrix algebra,Computer science,Electric power system,Algorithm,MIMO,Soar,Congruence (geometry),Swing
Conference
Citations 
PageRank 
References 
0
0.34
3
Authors
3
Name
Order
Citations
PageRank
Chia-chi Chu116431.80
Hung-Chi Tsai252.93
Ming-hong Lai3327.45