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Title: Optimal Wind Bidding Strategies in Day-Ahead Markets
Authors: Gomes, Isaías
Pousinho, Hugo
Melício, Rui
Mendes, Victor
Keywords: Bidding strategies
wind power system
stochastic linear programming
day-ahead market
Issue Date: 11-Apr-2016
Abstract: This paper presents a computer application for wind energy bidding in a day-ahead electricity market to better accommodate the variability of the energy source. The computer application is based in a stochastic linear mathematical programming problem. The goal is to obtain the optimal bidding strategy in order to maximize the revenue. Electricity prices and financial penalties for shortfall or surplus energy deliver are modeled. Finally, conclusions are drawn from an illustrative case study, using data from the day-ahead electricity market of the Iberian Peninsula.
Type: bookPart
Appears in Collections:FIS - Publicações - Capítulos de Livros

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