DocumentCode
866051
Title
Evaluation of convergence rate in the auxiliary problem principle for distributed optimal power flow
Author
Hur, D. ; Park, J.K. ; Kim, B.H.
Author_Institution
Sch. of Electr. Eng., Seoul Nat. Univ., South Korea
Volume
149
Issue
5
fYear
2002
fDate
9/1/2002 12:00:00 AM
Firstpage
525
Lastpage
532
Abstract
An approach to paralleling optimal power flow is described that is applicable to very large interconnected power systems and is suitable for distributed implementation. The proposed scheme is based on an augmented Lagrangian approach using the ´auxiliary problem principle´. The objective is to find a set of control parameters with which the auxiliary problem principle can be best implemented in solving distributed optimal power flow problems. The paper is a useful guide to the choice of control parameters that are highly problem dependent and sensitive to problem data. Several IEEE Reliability Test Systems and the Korea Electric Power System demonstrate alternative parameter sets that are the key elements in achieving fast convergence.
Keywords
control system analysis computing; distributed control; load flow control; optimal control; power system analysis computing; power system control; IEEE Reliability Test Systems; Korea Electric Power System; augmented Lagrangian approach; auxiliary problem principle; computer simulation; convergence rate; distributed optimal power flow; large interconnected power systems; power flow paralleling;
fLanguage
English
Journal_Title
Generation, Transmission and Distribution, IEE Proceedings-
Publisher
iet
ISSN
1350-2360
Type
jour
DOI
10.1049/ip-gtd:20020463
Filename
1047622
Link To Document