Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Ana Baringo"'
Publikováno v:
2022 International Conference on Smart Energy Systems and Technologies (SEST).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7675d366d4ba15c298671892c4630ee9
https://doi.org/10.1109/sest53650.2022.9898488
https://doi.org/10.1109/sest53650.2022.9898488
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:
RUIdeRA. Repositorio Institucional de la UCLM
instname
instname
This paper presents a novel approach for the investment planning of a virtual power plant trading energy in an electricity market. The virtual power plant comprises conventional generating units, renewable generating units, storage units, and a set o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4fdea0c9d08feb08303831af619d9fc9
http://hdl.handle.net/10578/30110
http://hdl.handle.net/10578/30110
Autor:
Luis Baringo, Ana Baringo
Publikováno v:
IEEE Transactions on Power Systems. 33:792-802
This paper proposes a stochastic adaptive robust optimization approach for the generation and transmission expansion planning problem. The problem is formulated under the perspective of a central planner, e.g., the transmission system operator, that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f78da5869d84bacd3addf4bbe5c071d
https://doi.org/10.1109/tpwrs.2017.2713486
https://doi.org/10.1109/tpwrs.2017.2713486
Autor:
Luis Baringo, Ana Baringo
Publikováno v:
IEEE Transactions on Power Systems. 32:3492-3504
This paper proposes a novel approach for the offering strategy of a virtual power plant that participates in the day-ahead and the real-time energy markets. The virtual power plant comprises a conventional power plant, a wind-power unit, a storage fa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2307959c7d34c95570af34f519971ebb
https://doi.org/10.1109/tpwrs.2016.2633546
https://doi.org/10.1109/tpwrs.2016.2633546
Publikováno v:
RUIdeRA. Repositorio Institucional de la UCLM
instname
instname
This paper proposes a novel model for the day-ahead self-scheduling problem of a virtual power plant trading in both energy and reserve electricity markets. The virtual power plant comprises a conventional power plant, an energy storage facility, a w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5fd4c7734ac335be6ca57d2f6e434fd4
http://hdl.handle.net/10578/29986
http://hdl.handle.net/10578/29986
Publikováno v:
2018 Power Systems Computation Conference (PSCC).
This paper considers the self-scheduling problem of a virtual power plant trading in both energy and reserve electricity markets. The virtual power plant comprises conventional generation, wind power generation, and a flexible demand that participate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e8d2e94dc584e2f52ec333853319bb5
https://doi.org/10.23919/pscc.2018.8442688
https://doi.org/10.23919/pscc.2018.8442688