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dc.date.accessioned 2018-04-26T14:47:37Z
dc.date.available 2018-04-26T14:47:37Z
dc.date.issued 2017
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/66451
dc.description.abstract This work presents a novel approach for solving the short-term scheduling of hydro-thermal power generation, including pumped storage systems and transmission constraints. The problem addressed is known as Security Constrained Unit Commitment (SCUC). Pumped Storage Units (PSUs) are important in electric systems during the off-peak and the peak demand periods, providing economic and technical benefits. Linear aproximations are applied to nonlinear equations of this kind of mathematical problems which are: fuel cost functions, generation-discharge curves of PSUs and transmission constraints modeled with Alternating Current power flow model. Thus, MILP models are presented for the problem addessed. To prove the efficiency of the proposed models, two systems with PSUs will be tested: a modified 6-bus and the IEEE 31-bus power system. Results show that the proposed MILP models allow: modeling the SCUC problem more realistically, obtaining feasible solutions within efficient computational times, and reaching production cost savings up to almost 15% compared to power systems that lack capacities to pumping water. Several indicators obtained from results are presented through graphs, as a tool for improving operation and maintenance of power systems. The analysis of these indicators and the graphic interpretation allow to identify and classify critical parts of systems as well as to make recommendations about future system improvements. es
dc.format.extent 57-66 es
dc.language en es
dc.subject electric power systems en
dc.subject mixed integer linear programming en
dc.subject pumped hydro storage en
dc.subject security constrained unit commitment en
dc.subject transmission constraints en
dc.title Optimization of Scheduling for Hydro-thermal Power Generation and Transmission Including Pumped Storage Systems en
dc.type Objeto de conferencia es
sedici.identifier.uri http://www.clei2017-46jaiio.sadio.org.ar/sites/default/files/Mem/SIO/sio-17.pdf es
sedici.identifier.issn 2451-7550 es
sedici.creator.person Álvarez, Gonzalo es
sedici.creator.person Marcovecchio, Marian G. es
sedici.creator.person Aguirre, Pío A. es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Sociedad Argentina de Informática e Investigación Operativa es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-sa/4.0/
sedici.date.exposure 2017-09
sedici.relation.event XV Simposio Argentino de Investigación Operativa (SIO) - JAIIO 46 (Córdoba, 2017). es
sedici.description.peerReview peer-review es
sedici.relation.isRelatedWith http://sedici.unlp.edu.ar/handle/10915/135214 es


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Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)