AC transmission expansion planning considering uncertainty

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dc.contributor.authorCastro, Carlos Alberto
dc.date.accessioned2020-05-14T23:27:26Z
dc.date.available2020-05-14T23:27:26Z
dc.date.issued2019
dc.description© 2019 IEEE. Taking into account uncertainty into the Transmission Expansion Planning (TEP) problem is an important and complex issue. So far, the literature has proposed only simplified models in order to solve this problem. In this research work, a formulation and solution method to solve the Transmission System Expansion Planning problem considering uncertainty and using the AC network model is proposed. A simheuristic technique that combines simulation with an Ant Colony Optimization algorithm is used. The Montecarlo Simulation (MS) technique to handle the stochastic behavior of demand and generation, and the Ant Colony Optimization algorithm for continuous domains (ACOR) to find the optimal solution of the problem were employed. The results were obtained for different test scenarios on the Garver 6-bus and the IEEE 24-bus test systems.
dc.description.abstract© 2019 IEEE. Taking into account uncertainty into the Transmission Expansion Planning (TEP) problem is an important and complex issue. So far, the literature has proposed only simplified models in order to solve this problem. In this research work, a formulation and solution method to solve the Transmission System Expansion Planning problem considering uncertainty and using the AC network model is proposed. A simheuristic technique that combines simulation with an Ant Colony Optimization algorithm is used. The Montecarlo Simulation (MS) technique to handle the stochastic behavior of demand and generation, and the Ant Colony Optimization algorithm for continuous domains (ACOR) to find the optimal solution of the problem were employed. The results were obtained for different test scenarios on the Garver 6-bus and the IEEE 24-bus test systems.
dc.description.cityBucharest
dc.identifier.doi10.1109/ISGTEurope.2019.8905689
dc.identifier.isbn9781538682180
dc.identifier.issn000-000-000-0
dc.identifier.urihttp://dspace.ucuenca.edu.ec/handle/123456789/34307
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85075895453&origin=inward
dc.language.isoes_ES
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.sourceProceedings of 2019 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2019
dc.subjectMontecarlo
dc.titleAC transmission expansion planning considering uncertainty
dc.typeARTÍCULO DE CONFERENCIA
dc.ucuenca.afiliacionSanchez, R., Universidad de Cuenca, Departamento de Ingeniería Eléctrica, Electrónica y Telecomunicaciones(DEET), Cuenca, Ecuador
dc.ucuenca.areaconocimientofrascatiamplio2. Ingeniería y Tecnología
dc.ucuenca.areaconocimientofrascatidetallado2.2.1 Ingeniería Eléctrica y Electrónica
dc.ucuenca.areaconocimientofrascatiespecifico2.2 Ingenierias Eléctrica, Electrónica e Información
dc.ucuenca.areaconocimientounescoamplio07 - Ingeniería, Industria y Construcción
dc.ucuenca.areaconocimientounescodetallado0713 - Electricidad y Energia
dc.ucuenca.areaconocimientounescoespecifico071 - Ingeniería y Profesiones Afines
dc.ucuenca.comiteorganizadorconferenciaIEEE Power & Energy Society (PES), University POLITEHNICA of Bucharest
dc.ucuenca.conferencia2019 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2019
dc.ucuenca.embargoend2050-05-14
dc.ucuenca.embargointerno2050-05-14
dc.ucuenca.fechafinconferencia2019-10-02
dc.ucuenca.fechainicioconferencia2019-09-29
dc.ucuenca.idautorSgrp-2601-4
dc.ucuenca.indicebibliograficoSCOPUS
dc.ucuenca.numerocitaciones0
dc.ucuenca.organizadorconferenciaInstitute of Electrical and Electronics Engineers Inc.
dc.ucuenca.paisRUMANIA
dc.ucuenca.urifuentehttps://ieeexplore.ieee.org/document/8905614
dc.ucuenca.versionVersión publicada
dc.ucuenca.volumenVolumen 0

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