dc.creator | Capitanescu, Florin | es |
dc.creator | Martínez Ramos, José Luis | es |
dc.creator | Panciatici, C. | es |
dc.creator | Kirschen, D. | es |
dc.creator | Marano-Marcolini, Alejandro | es |
dc.creator | Platbrood, L. | es |
dc.creator | Wehenkel, Louis | es |
dc.date.accessioned | 2023-06-19T13:34:53Z | |
dc.date.available | 2023-06-19T13:34:53Z | |
dc.date.issued | 2011 | |
dc.identifier.citation | Capitanescu, F., Martínez Ramos, J.L., Panciatici, C., Kirschen, D., Marano-Marcolini, A., Platbrood, L. y Wehenkel, L. (2011). State-of-the-art, challenges, and future trends in security constrained optimal power flow. Electric Power Systems Research, 81 (8), 1731-1741. https://doi.org/10.1016/j.epsr.2011.04.003. | |
dc.identifier.issn | 0378-7796 | es |
dc.identifier.uri | https://hdl.handle.net/11441/147333 | |
dc.description.abstract | 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. | es |
dc.description.sponsorship | Unión Europea FP7ECproject PEGASE | es |
dc.format.extent | 11 p. | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.relation.ispartof | Electric Power Systems Research, 81 (8), 1731-1741. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Mixed integer linear programming | es |
dc.subject | Mixed integer nonlinear programming | es |
dc.subject | Optimal power flowSecurity constrained optimal power flow | es |
dc.subject | Nonlinear programming | es |
dc.title | State-of-the-art, challenges, and future trends in security constrained optimal power flow | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/acceptedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ingeniería Eléctrica | es |
dc.relation.projectID | FP7ECproject PEGASE | es |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0378779611000885 | es |
dc.identifier.doi | 10.1016/j.epsr.2011.04.003 | es |
dc.journaltitle | Electric Power Systems Research | es |
dc.publication.volumen | 81 | es |
dc.publication.issue | 8 | es |
dc.publication.initialPage | 1731 | es |
dc.publication.endPage | 1741 | es |