Reference : A Generic Approach for Solving Nonlinear-Discrete Security-Constrained Optimal Power ...
Scientific journals : Article
Engineering, computing & technology : Electrical & electronics engineering
http://hdl.handle.net/10993/9872
A Generic Approach for Solving Nonlinear-Discrete Security-Constrained Optimal Power Flow Problems in Large-Scale Systems
English
Platbrood, Ludovic []
Capitanescu, Florin mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Merckx, Christian []
Crisciu, Horia []
Wehenkel, Louis []
In press
IEEE Transactions on Power Systems
IEEE
Yes (verified by ORBilu)
International
0885-8950
Piscataway
NJ
[en] security-constrained optimal power flow ; contingency filtering ; network compression
[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.
http://hdl.handle.net/10993/9872
FP7 ; 211407 - PEGASE - Pan European Grid Advanced Simulation and state Estimation

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