INCREASING THE NETWORK IN-FEED ACCURACY OF WIND TURBINES WITH ENERGY STORAGE DEVICES

An important operational aspect of grid-connected large-scale wind turbines is the predictability of their network in-feed. Wind power producers acting in day-ahead markets are obliged to predict their production a certain amount of hours in advance. Deviations from the predicted in-feed are alleviated by the grid operator with balancing energy at relatively high costs, depending on the market policy. Thus, the value of the annual production of a wind power producer can be significantly reduced by the penalty costs for balancing energy. This paper investigates to what extent the accuracy of the network in-feed could be improved by combining a wind turbine with a storage device used for balancing the differences between forecasted and actual network in-feed. The relation between the storage capacity and the forecast horizon is investigated to get indications on the limitations and requirements of such a combination. A simulation algorithm is presented together with analysis methods and a case study is used to show their applicability.

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