[en] This paper deals with day-ahead security management with respect to a postulated set of contingencies, while taking into account uncertainties about the next day generation/load scenario. In order to help the system operator in decision making under uncertainty, we aim at ranking these contingencies into four clusters according to the type of control actions needed to cover the worst uncertainty pattern of each contingency with respect to branch overload. To this end we use a fixed point algorithm that loops over two main modules: a discrete bi-level program (BLV) that computes the worst-case scenario, and a special kind of security constrained optimal power flow (SCOPF) which computes optimal preventive/corrective actions to cover the worst-case. We rely on a DC grid model, as the large number of binary variables, the large size of the problem, and the stringent computational requirements preclude the use of existing mixed integer nonlinear programming (MINLP) solvers. Consequently we solve the SCOPF using a mixed integer linear programming (MILP) solver while the BLV is decomposed into a series of MILPs. We provide numerical results with our approach on a very large European system model with 9241 buses and 5126 contingencies.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Fliscounakis, Stéphane
Panciatici, Patrick
Capitanescu, Florin
Wehenkel, Louis ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Language :
English
Title :
Contingency ranking with respect to overloads in very large power systems taking into account uncertainty, preventive, and corrective actions
Publication date :
2013
Journal title :
IEEE Transactions on Power Systems
ISSN :
0885-8950
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
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