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Contingency Ranking With Respect to Overloads in Very Large Power Systems Taking Into Account Uncertainty, Preventive, and Corrective Actions

Fliscounakis, Stephane ; Panciatici, Patrick ; Capitanescu, Florin ; Wehenkel, Louis

IEEE transactions on power systems, 2013-11, Vol.28 (4), p.4909-4917 [Periódico revisado por pares]

IEEE

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Título:
Contingency Ranking With Respect to Overloads in Very Large Power Systems Taking Into Account Uncertainty, Preventive, and Corrective Actions
Autor: Fliscounakis, Stephane ; Panciatici, Patrick ; Capitanescu, Florin ; Wehenkel, Louis
Assuntos: Bi-level programming ; Clustering algorithms ; Computational modeling ; Electrical & electronics engineering ; Engineering, computing & technology ; Generators ; Ingénierie électrique & électronique ; Ingénierie, informatique & technologie ; mixed integer linear programming ; operation under uncertainty ; optimal power flow ; Optimization ; Power systems ; Security ; Security management ; security-constrained optimal power flow ; Smart Grids ; Uncertainties ; Uncertainty ; worst-case analysis
É parte de: IEEE transactions on power systems, 2013-11, Vol.28 (4), p.4909-4917
Notas: scopus-id:2-s2.0-84886096470
info:eu-repo/grantAgreement/EC/FP7/211407
Descrição: 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.
Editor: IEEE
Idioma: Inglês

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Contingency Ranking With Respect to Overloads in Very Large Power Systems Taking Into Account Uncertainty, Preventive, and Corrective Actions

Fliscounakis, Stephane ; Panciatici, Patrick ; Capitanescu, Florin ; Wehenkel, Louis

IEEE

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