Reference : State-of-the-art, challenges, and future trends in security constrained optimal power flow
Scientific journals : Article
Engineering, computing & technology : Electrical & electronics engineering
http://hdl.handle.net/2268/88635
State-of-the-art, challenges, and future trends in security constrained optimal power flow
English
Capitanescu, Florin mailto [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation >]
Martinez Ramos, Jose Luis [> > > >]
Panciatici, Patrick [> >]
Kirschen, Daniel [> >]
Marano Marcolini, Alejandro [> >]
Platbrood, Ludovic [> >]
Wehenkel, Louis mailto [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation >]
Aug-2011
Electric Power Systems Research
Elsevier Science
81
8
1731-1741
Yes
International
0378-7796
Lausanne
Switzerland
[en] security constrained optimal power flow ; mixed integer nonlinear programming ; nonlinear programming
[en] This paper addresses the main challenges to the security constrained optimal power flow (SCOPF) computations. We first discuss the issues related to the SCOPF problem formulation such as the use of a limited number of corrective actions in the post-contingency states and the modeling of voltage and transient stability constraints. Then we deal with the challenges to
the techniques for solving the SCOPF, focusing mainly on: approaches to reduce the size of the problem by either efficiently identifying the binding contingencies and including only these contingencies in the SCOPF or by using approximate models for the post-contingency states, and the handling of discrete variables. We finally address the current trend of extending the
SCOPF formulation to take into account the increasing levels of uncertainty in the operation planning. For each such topic we provide a review of the state of the art, we identify the advances that are needed, and we indicate ways to bridge the gap between the current state of the art and these needs.
FP7-EU PEGASE
Researchers ; Professionals
http://hdl.handle.net/2268/88635
http://www.sciencedirect.com
FP7 ; 211407 - PEGASE - Pan European Grid Advanced Simulation and state Estimation

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