This paper made research on parameter estimation of generalized extreme value distribution based on higher probability weighted moments. The model of higher probability weighted moments for estimating parameters of generalized extreme value distribution was established by the principle of higher probability weighted moments. The results of examples of annual maximum flow series in four stations indicate that the higher PWMs gives more weight to large flood values. The Monte Carlo experiments indicate that it is useful to raise the order appropriately.