Multi-contingency TSCOPF based on full-system simulation

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dc.contributor.author Ledesma Larrea, Pablo
dc.contributor.author Calle, Ignacio Antonio
dc.contributor.author Castronuovo, Edgardo Daniel
dc.contributor.author Arredondo Rodríguez, Francisco
dc.date.accessioned 2016-10-13T10:52:27Z
dc.date.available 2016-10-13T10:52:27Z
dc.date.issued 2016-08-31
dc.identifier.bibliographicCitation Ledesma, P., Calle, I.A., Castronuovo, E.D., Arredondo, F. (2016). Multicontingency TSCOPF based on full-system simulation. IET Generation, Transmission & Distribution, 9 p.
dc.identifier.issn 1751-8687
dc.identifier.uri http://hdl.handle.net/10016/23719
dc.description.abstract Transient stability constrained optimal power flow (TSCOPF) is a non-linear optimisation problem used to perform economic dispatches while ensuring TS. This study proposes a multi-contingency TSCOPF model that retains the dynamics of all generators and includes a transient synchronous generator fourth-order dq-axis model. A program is developed that automatically reads the system data from standard files, builds the multiple-contingency TSCOPF model on a high-level modelling system and solves it using a non-heuristic interior point algorithm. This approach facilitates the application of the model to a variety of systems and scenarios. A TSC based on the speed deviation instead of the rotor angle is proposed. Results obtained on several standard systems are shown. The proposed method is applied to the northwest Spanish transmission system to obtain an optimised dispatch that ensures TS after any of a number of faults, and to assess the economic impact of fault-clearing times at different substations.
dc.description.sponsorship Ministry of Science and Technology of Spain
dc.format.extent 9
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher The Institution of Engineering and Technology
dc.relation.haspart http://hdl.handle.net/10016/23105
dc.rights © The Institution of Engineering and Technology 2016
dc.title Multi-contingency TSCOPF based on full-system simulation
dc.type article
dc.relation.publisherversion https://doi.org/10.1049/ietgtd. 2016.0355
dc.subject.eciencia Ingeniería Industrial
dc.rights.accessRights openAccess
dc.relation.projectID Gobierno de España. ENE2013-48690-C2-1-R
dc.type.version acceptedVersion
dc.identifier.publicationtitle IET Generation, Transmission & Distribution
dcterms.description This paper has supplementary dataset.
dc.relation.dataset https://doi.org/10.21950/OCSRBX
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