This paper proposes a methodology for determining the optimal bidding strategy of a retailer who supplies electricity to end-users in the short-term electricity market. The aim is to minimize the cost of purchasing energy in the sequence of trading opportunities that provide the day-ahead and intraday markets. A genetic algorithm has been designed to optimize the parameters that define the best purchasing strategy. The proposed methodology has been tested using real data from the Spanish day-ahead and intraday markets over a period of two years with a significant cost reduction with respect to trading solely in the day-ahead market.
Palabras clave: Electricity markets, genetic algorithms, strategic bidding.
IEEE Transactions on Power Systems. Volumen: 27 Numero: 3 Páginas: 1204-1213
Índice de impacto JCR y cuartil Scopus: JCR impact factor: 2.921 (2012); 6.807 (2018).
Referencia DOI: 10.1109/TPWRS.2012.2185960
Publicado en papel: Agosto 2012.
R. Herranz, A. Muñoz, J. Villar, F.A. Campos. Optimal demand-side bidding strategies in electricity spot markets. IEEE Transactions on Power Systems. vol. 27, no. 3, pp. 1204-1213, Agosto 2012.