Reference : SOLVING VERY LARGE-SCALE SECURITY-CONSTRAINED OPTIMAL POWER FLOW PROBLEMS BY COMBINING I...
Scientific congresses and symposiums : Paper published in a book
Engineering, computing & technology : Electrical & electronics engineering
http://hdl.handle.net/2268/96824
SOLVING VERY LARGE-SCALE SECURITY-CONSTRAINED OPTIMAL POWER FLOW PROBLEMS BY COMBINING ITERATIVE CONTINGENCY SELECTION AND NETWORK COMPRESSION
English
Platbrood, Ludovic [Tractebel engineering > > > >]
Crisciu, Horia [Tractebel engineering > > > >]
Capitanescu, Florin mailto [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation >]
Wehenkel, Louis mailto [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation >]
Aug-2011
PSCC conference
Yes
PSCC conference
August 22-26
Stockholm
Sweden
[en] security-constrained optimal power flow ; contingency filtering ; network compression
[en] This paper proposes a practical algorithm for solving very large-scale SCOPF problems, based on the combination of a contingency filtering scheme, used to identify the binding contingencies at the optimum, and a network compression method, used to reduce the complexity of the post-contingency models included in the SCOPF formulation. By combining these two complementary simplifications, it is possible to solve SCOPF problems addressing both preventive and corrective controls on continental sized power system models and with a very large number of contingencies. The proposed algorithms are implemented with state-of-the-art solvers and applied on a model of the European transmission system, of about 15000 buses, and with about 11000 contingencies.
Researchers ; Professionals
http://hdl.handle.net/2268/96824
FP7 ; 211407 - PEGASE - Pan European Grid Advanced Simulation and state Estimation

File(s) associated to this reference

Fulltext file(s):

FileCommentaryVersionSizeAccess
Open access
FullPaperPSCC2011final#279.pdfAuthor preprint172.3 kBView/Open

Bookmark and Share SFX Query

All documents in ORBi are protected by a user license.