Under the premise of large-scale wind power integration, the reliability calculation of wind power capacity is of great significance for the reliable operation of power systems. Based on the LOEE reliability index, considering the influencing factors of space-time correlation between wind farms, the non-sequential Monte Carlo method is used to calculate the reliability of wind capacity. The data required for the calculation of wind power capacity credibility include wind speed, wind power output, and wind turbine geographic location information. Due to the large amount of data required for calculation, many types, and wide sources, the big data technology calculation based on Hadoop architecture is proposed. Wind power capacity credibility, for the rack-aware imbalance in the Hadoop architecture and the lack of correlation between storage data, the rack-aware configuration method and the hash bucket storage algorithm are introduced to improve the data storage and data processing. Efficiency, reduce calculation time, and verify the effectiveness of the method through simulation.