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In this paper. we proposed a multilevel approach for optimal participation in reactive power balancing of wind farms connected to the transmission grid. For this purpose. we defined reactive power capability of a DFIG wind turbine. Afterwards. we proposed a method to find the reactive power capability of a wind farm by considering the effect of all the cables. 0.69 20 kV transformers inside the farm and the constraints on voltage deviation of the buses inside the wind farm. In order to have a more practical wind farm PQ-diagram. we used a probabilistic method based on Monte Carlo algorithm to consider the difference of power production between the wind turbines of a same farm. In order to find the available reactive power reserve of wind farms which fluctuates as like as the wind active power production. we used a probabilistic method based on ARIMA. It permits us to forecast the reactive power reserve of wind farms at each control system action sample time.
