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Stochastic optimal sale bid for a wind power producer
Sacripante, Simona; Heredia, F.-Javier (Francisco Javier); Corchero García, Cristina
Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa; Universitat Politècnica de Catalunya. GNOM - Grup d´Optimització Numèrica i Modelització
Research Report
Wind power generation has a key role in Spanish electricity system since it is a native source of energy that could help Spain to reduce its dependency on the exterior for the production of electricity. Apart from the great environmental benefits produced, wind energy reduce considerably spot energy price, reaching to cover 16,6 % of peninsular demand. Although, wind farms show high investment costs and need an efficient incentive scheme to be financed. If on one hand, Spain has been a leading country in Europe in developing a successful incentive scheme, nowadays tariff deficit and negative economic conjunctures asks for consistent reductions in the support mechanism and demand wind producers to be able to compete into the market with more mature technologies. The objective of this work is to find an optimal commercial strategy in the production market that would allow wind producer to maximize their daily profit. That can be achieved on one hand, increasing incomes in daily and intraday markets, on the other hand, reducing deviation costs due to error in generation predictions. We will previously analyze market features and common practices in use and then develop our own sale strategy solving a two-stage linear stochastic optimization problem. The first stage variable will be the sale bid in the day–ahead market while second stage variables will be the offers to the six sessions of intraday market. The model is implemented using real data from a wind producer leader in Spain.
Àrees temàtiques de la UPC::Matemàtiques i estadística::Probabilitat
Stochastic processes
electricity market
wind producer
stochastic programming
Processos estocàstics
Classificació AMS::60 Probability theory and stochastic processes::60G Stochastic processes
Attribution-NonCommercial-NoDerivs 3.0 Spain
Article - Draft

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