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dc.contributor.author
Martinez, Maximiliano
dc.contributor.author
Molina, Marcelo Gustavo
dc.contributor.author
Mercado, Pedro Enrique
dc.date.available
2018-04-16T19:40:08Z
dc.date.issued
2015-12
dc.identifier.citation
Martinez, Maximiliano; Molina, Marcelo Gustavo; Mercado, Pedro Enrique; Optimal Storage Technology Selection and Sizing for Providing Reserve to Power Systems with High Penetration of Wind Generation; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 13; 9; 12-2015; 2983-2990
dc.identifier.issn
1548-0992
dc.identifier.uri
http://hdl.handle.net/11336/42178
dc.description.abstract
This paper proposes a methodology to determine both the technology of Energy Storage System (ESS) and its optimal sizing in order to provide secondary frequency control (SFC) to power systems with high penetration of wind generation. The objective is to determine the optimal investment in an ESS,considering the impact of the energy storage device on the costs of the electrical system and on the quality of frequency. The methodology allows calculating probabilistically the variable investment and operation costs of the ESS, considering the uncertainties associated with the stochastic behavior of the wind generation, conventional generation availability, network topology and the demand for energy. To this aim, a hybrid optimization using a meta-heuristic algorithm called Mean-Variance Mapping Optimization (MVMO) is utilized, whose control variable is the size vector (maximum power and energy capacity of the storage device), and an optimization model to compute the optimal power flow (OPF).
dc.format
application/pdf
dc.language.iso
spa
dc.publisher
Institute of Electrical and Electronics Engineers
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Energy Storage
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Optimization
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Power Quality
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Wind Power Generation
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Secondary Frequency Control
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Ingeniería de Sistemas y Comunicaciones
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Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información
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INGENIERÍAS Y TECNOLOGÍAS
dc.title
Optimal Storage Technology Selection and Sizing for Providing Reserve to Power Systems with High Penetration of Wind Generation
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-04-12T14:30:16Z
dc.journal.volume
13
dc.journal.number
9
dc.journal.pagination
2983-2990
dc.journal.pais
Estados Unidos
dc.description.fil
Fil: Martinez, Maximiliano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
dc.description.fil
Fil: Molina, Marcelo Gustavo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
dc.description.fil
Fil: Mercado, Pedro Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
dc.journal.title
IEEE Latin America Transactions
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1109/TLA.2015.7350049
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/7350049/
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