Abstract-The harmonic aggregation in wind power generation is widely concerned in engineering practice. In this paper, large volumes of voltage and current data in wind farm was measured and analyzed for exploring the distribution rules of harmonic current amplitude and phase, based on which, the probabilistic statistical model of harmonic current in wind farm was set up. And the superposition of harmonic in wind farm was predicted and evaluated with Monte-Carlo method. Simulation shows that the calculation of harmonic superposition with Monte-Carlo method has strong reliability and maneuverability. This method can be used to calculate the mean value of the superposition of harmonic and predict the harmonic aggregation at extreme situations.