| Título |
Optimal coordinated wind and generic storage system bidding in electricity markets |
| Autores |
SÁNCHEZ DE LA NIETA LÓPEZ, AGUSTÍN ALEANDRO, Tavares T.A.M. , Catalao J.P.S. , Contreras J. |
| Publicación externa |
Si |
| Medio |
Australas. Univ. Power Eng. Conf.: Challenges Future Grids, AUPEC |
| Alcance |
Conference Paper |
| Naturaleza |
Científica |
| Web |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962383298&doi=10.1109%2fAUPEC.2015.7324854&partnerID=40&md5=f72fc341107bdf317e1880f53b77c7af |
| Fecha de publicacion |
01/01/2015 |
| Scopus Id |
2-s2.0-84962383298 |
| DOI |
10.1109/AUPEC.2015.7324854 |
| Abstract |
The volatility of the wind generation reduces the profits of wind generators as a consequence of the differences between the real wind generation and the wind power offered in the electricity markets. This paper presents two models: i) wind and generic storage system offering without a physical connection and ii) wind and generic storage system offering with a physical connection to mitigate the wind positive imbalances (excess of the wind generation with respect to the wind power offered). The objective of the models is to maximize the expected profit of selling the energy in the day-Ahead market, where the energy can come from the wind power and the storage system. Moreover, the wind power imbalance is penalized in the balancing market reducing the profits. The problems are modeled using stochastic mixed integer linear programming. A case study of a week (168 hours) is simulated to evaluate the models. After the simulations, the results are discussed and a summary of the main conclusions are presented. © 2015 IEEE. |
| Palabras clave |
Commerce; Integer programming; Profitability; Stochastic systems; Wind power; Balancing market; Day ahead market; Expected profits; Mixed integer linear programming; Physical connections; Power imbala |
| Miembros de la Universidad Loyola |
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