Title Optimal coordinated wind and generic storage system bidding in electricity markets
Authors SÁNCHEZ DE LA NIETA LÓPEZ, AGUSTÍN ALEANDRO, Tavares T.A.M. , Catalao J.P.S. , Contreras J.
External publication Si
Means Australas. Univ. Power Eng. Conf.: Challenges Future Grids, AUPEC
Scope Conference Paper
Nature Científica
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962383298&doi=10.1109%2fAUPEC.2015.7324854&partnerID=40&md5=f72fc341107bdf317e1880f53b77c7af
Publication date 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.
Keywords Commerce; Integer programming; Profitability; Stochastic systems; Wind power; Balancing market; Day ahead market; Expected profits; Mixed integer linear programming; Physical connections; Power imbala
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