Wind power planning aims at optimally locating and sizing wind farms.Traditionally,it tends to choose the wind farms with the richest wind resource in order to maximize the energy benefit.However, the capacity benefit of wind power should also be considered in the large-scale clustered wind farm planning since the correlation among the wind farms performs an obvious influence on the capacity benefit brought by the whole wind power.This paper proposes a planning model considering both energy and capacity benefit of the wind farms.Herein, the capacity benefit is evaluated by wind power capacity credit.The Ordinal Optimization (OO) theory, capable of handling problems with non-analytical forms, is applied to address the model.To verify its feasibility and advantages, the proposed model is compared with widely-used genetic algorithm (GA) via a modified IEEE RTS-79 system and a real world case of Ningxia, China.The results show that the diversity of wind farm enhances the capacity credit of wind power.