Analysis of numerical methods to include dynamic constraints in an optimal power flow model

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dc.contributor.author Arredondo Rodríguez, Francisco
dc.contributor.author Castronuovo, Edgardo Daniel
dc.contributor.author Ledesma Larrea, Pablo
dc.contributor.author Leonowicz, Zbigniew
dc.date.accessioned 2021-06-15T10:30:36Z
dc.date.available 2021-06-15T10:30:36Z
dc.date.issued 2019-03-07
dc.identifier.bibliographicCitation Energies 2019, 12(5), 885.
dc.identifier.issn 1996-1073
dc.identifier.uri http://hdl.handle.net/10016/32876
dc.description.abstract The optimization of the operation of power systems including steady state and dynamic constraints is efficiently solved by Transient Stability Constrained Optimal Power Flow (TSCOPF) models. TSCOPF studies extend well-known optimal power flow models by introducing the electromechanical oscillations of synchronous machines. One of the main approaches in TSCOPF studies includes the discretized differential equations that represent the dynamics of the system in the optimization model. This paper analyzes the impact of different implicit and explicit numerical integration methods on the solution of a TSCOPF model and the effect of the integration time step. In particular, it studies the effect on the power dispatch, the total cost of generation, the accuracy of the calculation of electromechanical oscillations between machines, the size of the optimization problem and the computational time.
dc.format.extent 12
dc.language.iso eng
dc.publisher MDPI
dc.rights © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
dc.rights Atribución 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by/3.0/es/
dc.subject.other Power system transient stability
dc.subject.other Economic dispatch
dc.subject.other Numerical integration methods
dc.subject.other Non-linear programming
dc.subject.other Optimal power flow
dc.title Analysis of numerical methods to include dynamic constraints in an optimal power flow model
dc.type article
dc.description.status Publicado
dc.subject.eciencia Ingeniería Industrial
dc.identifier.doi http://doi.org/10.3390/en12050885
dc.rights.accessRights openAccess
dc.type.version publishedVersion
dc.identifier.publicationfirstpage 1
dc.identifier.publicationissue 5
dc.identifier.publicationlastpage 12
dc.identifier.publicationtitle Energies
dc.identifier.publicationvolume 12
dc.identifier.uxxi AR/0000023531
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