dc.contributor | García Torres, Edwin Marcelo | |
dc.creator | Agreda Cuenca, Edison Alberto | |
dc.date.accessioned | 2021-07-26T15:14:32Z | |
dc.date.accessioned | 2022-10-20T18:12:38Z | |
dc.date.available | 2021-07-26T15:14:32Z | |
dc.date.available | 2022-10-20T18:12:38Z | |
dc.date.created | 2021-07-26T15:14:32Z | |
dc.date.issued | 2021-07 | |
dc.identifier | http://dspace.ups.edu.ec/handle/123456789/20545 | |
dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/4571846 | |
dc.description.abstract | In this document an analysis of electrical
energy costs is developed, considering
important factors such as surpluses and
electricity generation; The parameters of
fixed costs and variable costs are included
that will serve to find the total costs of
electricity generation; on the other hand,
mathematical models of different
electricity generation technologies and
definitions that encompass the
implemented methodology are detailed.
The management of generation sources is
carried out by means of a virtual power
plant, since it can efficiently manage
resources; For the analysis, two scenarios
of hydraulic and thermal generation
sources will be studied.
Additionally, the estimate of electricity
costs of the generation sources used will
be obtained, considering the generation
cost parameters. To improve efficiency, a
demand response program is
implemented, and generation cost
comparisons of the sources analyzed are
implemented. | |
dc.language | spa | |
dc.rights | http://creativecommons.org/licenses/by-nc-nd/3.0/ec/ | |
dc.rights | openAccess | |
dc.rights | Atribución-NoComercial-SinDerivadas 3.0 Ecuador | |
dc.subject | INGENIERÍA ELÉCTRICA | |
dc.subject | PRONÓSTICO DE VENTAS | |
dc.subject | ENERGÍA ELÉCTRICA | |
dc.subject | PRODUCCIÓN DE ENERGÍA ELÉCTRICA | |
dc.subject | DISTRIBUCIÓN DE ENERGÍA ELÉCTRICA | |
dc.subject | PLANTA VIRTUAL DE ENERGÍA ELÉCTRICA | |
dc.subject | RECURSOS ENERGÉTICOS | |
dc.title | Estimación del costo de venta de energía eléctrica de una planta de energía virtual, basado en la elasticidad de la demanda aplicando política de pico crítico | |
dc.type | bachelorThesis | |