Strategy for Participation of Wind Power in Power Market Considering the Uncertainty in Production.

Nowadays, Wind turbines are highly used and their costs are reduced. Although using these turbines has so many benefits, but, because of their variable nature, their participating in power market has some unpredicted problems. In this paper, new approach is presented based on neural networks to forecast the production of wind power resources. This is used for probabilistic modeling of production uncertainty. Thereafter, new method is presented for bidding strategy of wind power to the power market based on minimization of imbalance cost. To determine the optimal bid to the power market, the probabilistic optimization is used. Different aspects of participation of wind generation in power market are analyzed based on the imbalanced power prices. Finally, using the practical data of a wind farm in Spain, different conditions of bidding strategy for energy is discussed. To compare the results, besides the proposed method, an advanced method for the short terra prediction is used. [ABSTRACT FROM AUTHOR]