Available on ORBilu since
04 November 2013
Article (Scientific journals)
A Generic Approach for Solving Nonlinear-Discrete Security-Constrained Optimal Power Flow Problems in Large-Scale Systems
Platbrood, Ludovic; Capitanescu, Florin; Merckx, Christian et al.
In pressIn IEEE Transactions on Power Systems
Peer Reviewed verified by ORBi


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Keywords :
security-constrained optimal power flow; contingency filtering; network compression
Abstract :
[en] This paper proves the practicality of an iterative algorithm for solving realistic large-scale SCOPF problems. This algorithm is 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. We show that by combining these two complementary ideas, it is possible to solve in a reasonable time SCOPF problems on large power system models with a large number of contingencies. Unlike most results reported for large-scale SCOPF problems, our algorithm uses a non-linear AC network model in both pre-contingency and post-contingency states, optimizes both active/reactive powers flows jointly, and treats the discrete variables. The proposed algorithm is implemented with state-of-the-art solvers and applied to two systems: a national grid with 2563 buses and 1297 contingencies, and a model of the European transmission network with 9241 buses and 12000 contingencies.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Platbrood, Ludovic
Capitanescu, Florin ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Merckx, Christian
Crisciu, Horia
Wehenkel, Louis
Language :
Title :
A Generic Approach for Solving Nonlinear-Discrete Security-Constrained Optimal Power Flow Problems in Large-Scale Systems
Publication date :
In press
Journal title :
IEEE Transactions on Power Systems
Publisher :
IEEE, Piscataway, United States - New Jersey
Peer reviewed :
Peer Reviewed verified by ORBi
European Projects :
FP7 - 211407 - PEGASE - Pan European Grid Advanced Simulation and state Estimation
Funders :
CE - Commission Européenne


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