Abstract: wind power interval prediction model based on chaotic chicken swarm optimization and extreme learning machine（CCSOELM） is proposed.First,to avoid the disadvantages of low population diversity and easy to fall into local minima of the traditional optimization,chaos theory is adopted in the chicken swarm optimization,which improves its performance and efficiency.In addition,traditional cost function does not reflect the deviation degree of off-interval points,then an evaluation index considering the relative deviation of off-interval points is proposed in this paper.Finally,the new cost function is taken as the fitness function,the output layer weight of ELM is optimized by CCSO,the lower upper bound estimation（LUBE） is adopted to output the prediction interval directly.The simulation result shows that the proposed method can effectively reduce the average bandwidth and improve the quality of interval prediction under the premise of guaranteeing the interval coverage.