| dc.contributor | Garcés Ruiz, Alejandro | |
| dc.creator | Castaño Guzmán, Juan Camilo | |
| dc.date | 2020-11-27T11:37:46Z | |
| dc.date | 2021-11-02T20:34:32Z | |
| dc.date | 2020-11-27T11:37:46Z | |
| dc.date | 2021-11-02T20:34:32Z | |
| dc.date | 2020 | |
| dc.date.accessioned | 2022-09-23T21:12:07Z | |
| dc.date.available | 2022-09-23T21:12:07Z | |
| dc.identifier | T621.312136 C346 F7909 | |
| dc.identifier | https://hdl.handle.net/11059/12251 | |
| dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/3526607 | |
| dc.description | In this research a convex optimization methodology is proposed for the Shortterm hydrothermal scheduling (STHS). In addition, wind and solar generation are also considered under a robust approach by modeling the equilibrium of power flow constraint as chance box constraints, which allows determining the amount of renewable source available with a specific probability value. The proposed methodology guarantees global optimum of the convexified model andfast convergences... | |
| dc.format | application/pdf | |
| dc.format | application/pdf | |
| dc.language | eng | |
| dc.publisher | Pereira : Universidad Tecnológica de Pereira | |
| dc.publisher | Facultad de Ingenierías Eléctrica, Electrónica y Ciencias de la Computación | |
| dc.publisher | Maestría en Ingeniería Eléctrica | |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | |
| dc.rights | openAccess | |
| dc.rights | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject | Energía eólica - Generadores | |
| dc.subject | Energía renovable | |
| dc.subject | Energía solar - Investigaciones | |
| dc.title | Wind-solar-hydrothermal dispatch using convex optimization | |
| dc.type | masterThesis | |
| dc.type | acceptedVersion | |
