Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Natalia Alguacil"'
Publikováno v:
EURO Journal on Computational Optimization, Vol 3, Iss 3, Pp 163-195 (2015)
This paper describes the application of bilevel programming to a class of real-life problems in the field of electric power systems. Within the context of electricity markets, market-clearing procedures, i.e., auction models, are used by an independe
Externí odkaz:
https://doaj.org/article/11fda7da436246b885176e9eb24555a5
Publikováno v:
International Journal of Electrical Power & Energy Systems. 148:109015
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::556c48dff3584039b7360b054fcba8e7
https://doi.org/10.1016/j.ijepes.2023.109015
https://doi.org/10.1016/j.ijepes.2023.109015
Publikováno v:
IEEE Transactions on Power Systems. 35:4964-4967
Recently, several authors have reported specific criteria to support the widely accepted use of a convex operational model for bulk energy storage in the formulation of power system operation and planning problems involving binary variables. Using tw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26668739c98721d4abc698000e85060e
https://doi.org/10.1109/tpwrs.2020.3020730
https://doi.org/10.1109/tpwrs.2020.3020730
Publikováno v:
IEEE Transactions on Smart Grid. :1-1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::455aacca4413e14d8d442c4182a5b66e
https://doi.org/10.1109/tsg.2023.3256488
https://doi.org/10.1109/tsg.2023.3256488
Publikováno v:
EDUCON
Introductory courses on electric circuits at undergraduate level are usually presented in quite abstract terms, with questions and problems quite far from practical problems. This causes the students have difficulties to apply that theory to solve pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b4e4e2bd7bd3c871807705d0438eff8
https://doi.org/10.1109/educon45650.2020.9125255
https://doi.org/10.1109/educon45650.2020.9125255
Publikováno v:
Applied Energy. 232:489-503
Generation scheduling in future smart grids will face significant uncertainty due to their considerable reliance on intermittent renewable-based generation such as wind power. Adaptive robust optimization provides a suitable framework to handle wind-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c479e558fa8b10dc54a56efda76e823
https://doi.org/10.1016/j.apenergy.2018.09.102
https://doi.org/10.1016/j.apenergy.2018.09.102
Publikováno v:
IEEE Transactions on Power Systems. 33:5206-5216
In the restructured power industry, bulk energy storage may play a crucial role to provide the flexibility required by system operators to cater for the unprecedented levels of uncertainty. Within the context of co-optimized electricity markets for e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8333df3491ac5c2e6e43c6a4631d69a2
https://doi.org/10.1109/tpwrs.2018.2792140
https://doi.org/10.1109/tpwrs.2018.2792140
Publikováno v:
IEEE Transactions on Power Systems. 33:1242-1251
Two-stage robust optimization has emerged as a relevant approach to deal with uncertain demand and generation capacity in the transmission network expansion planning problem. Unfortunately, available solution methodologies for the resulting trilevel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fac55110a1471de2ed7643131c4fc669
https://doi.org/10.1109/tpwrs.2017.2734562
https://doi.org/10.1109/tpwrs.2017.2734562
Publikováno v:
RUIdeRA. Repositorio Institucional de la UCLM
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In the restructured power industry, demand responsiveness is a key factor whose importance will be boosted due to the impetus provided by the development of Smart grids. Within the context of pool-based electricity markets, this paper addresses the i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7693430e3d197e17298f5cc0cbaebcb9
https://doi.org/10.1109/tsg.2015.2427584
https://doi.org/10.1109/tsg.2015.2427584
Publikováno v:
Applied Energy. 279:115851
This paper proposes a two-phase optimization framework for users that are involved in demand response programs. In a first phase, responsive users optimize their own household consumption, characterizing not only their appliances and equipment but al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::466e8bf244118f05bbdd75766bb237a4
https://doi.org/10.1016/j.apenergy.2020.115851
https://doi.org/10.1016/j.apenergy.2020.115851