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Title: Optimal demand-side bidding strategies in electricity spot markets
Authors: R. Herranz , A. Muñoz , J. Villar , F.A. Campos
Keywords: Electricity markets, genetic algorithms, strategic bidding.
Research topics *Medium-term tactical planning
*Modeling, simulation and optimization
Abstract: 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.
Reference: IEEE Transactions on Power Systems
Volume: 27   Number: 3   Pages: 1204-1213
Publication date:August 2012
DOI reference: DOI icon 10.1109/TPWRS.2012.2185960    
Journal Impact Factor: JCR impact factor 2.678 (2011)
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