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http://hdl.handle.net/11531/7743| Título : | Strategic bidding in sequential electricity markets |
| Autor : | Ugedo Álvarez-Ossorio, Alejandro Lobato Miguélez, Enrique Franco Ugidos, Álvaro Rouco Rodríguez, Luis Fernández Caro, Joaquín Chofre Álvarez, Javier |
| Fecha de publicación : | 1-jul-2006 |
| Resumen : | Wholesale electricity markets can be organised into different types of markets—energy markets and ancillary services markets—that are cleared sequentially. The paper proposes a stochastic-optimisation model to obtain the distribution of the electricity resources of a generation firm among the different sequential markets within a wholesale electricity market. Market power is modelled by linear approximations of the residual-demand curves. In addition, the model obtains the bid curves of a generation firm that are submitted for every hourly period of each market comprising the sequence. A methodology to estimate the stochastic residual-demand curves for every hour of each market based on decision trees has been designed. The model has been developed for a Spanish utility to operate in the Spanish electricity market. A case study illustrates the performance of the proposed model. Wholesale electricity markets can be organised into different types of markets—energy markets and ancillary services markets—that are cleared sequentially. The paper proposes a stochastic-optimisation model to obtain the distribution of the electricity resources of a generation firm among the different sequential markets within a wholesale electricity market. Market power is modelled by linear approximations of the residual-demand curves. In addition, the model obtains the bid curves of a generation firm that are submitted for every hourly period of each market comprising the sequence. A methodology to estimate the stochastic residual-demand curves for every hour of each market based on decision trees has been designed. The model has been developed for a Spanish utility to operate in the Spanish electricity market. A case study illustrates the performance of the proposed model. |
| Descripción : | Artículos en revistas |
| URI : | https://doi.org/10.1049/ip-gtd:20045192 |
| ISSN : | 1350-2360 |
| Aparece en las colecciones: | Artículos |
Ficheros en este ítem:
| Fichero | Descripción | Tamaño | Formato | |
|---|---|---|---|---|
| IIT-06-098A.pdf | 966,59 kB | Adobe PDF | ![]() Visualizar/Abrir Request a copy | |
| IIT-06-098A_preview | 2,71 kB | Unknown | Visualizar/Abrir | |
| IIT-06-098A_preview.pdf | 2,71 kB | Adobe PDF | Visualizar/Abrir |
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