Design lifetime of a wind turbine is generally required to be at least 20 years. The most important step to ensure the design is to evaluate the extreme loads on the wind turbine with high accuracy. In this study, integrated load analysis of a small wind turbine is calculated using Bladed code. A 20kW wind turbine system (developed in South Korea) was modeled with a rotor diameter of 13.42 m, a rated wind speed of 10 m/s, and a rotor rated rotational speed of 67 rpm. The extreme load simulation results were validated by comparing it with SCADA data. After preprocessing the SCADA data, the uncertainty in power generation was assessed using the Z-score based on the standard deviation under the assumption that wind speed data follows a normal distribution. The averaged deviation of power values on each wind speed was calculated to be approximately 2.65 kW. Integrated load analysis was performed according to the IEC 61400-2 standard, which defines the design load cases. Load analysis results have a good agreement with experiment data. It was found that extreme blade design criteria and extreme confirmed that there is no contact between the tower and blade tip by calculating the minimum distance between them. In conclusion, this study achieved a comparison validation with SCADA data for small wind turbines, which had not been previously conducted, while also meeting design stability criteria. This research provides a foundation for accurate design methodologies and analysis approaches for small wind turbines. Unlike large wind turbines, proper load calculations for small wind turbines are not yet fully standardized or mandated in Korea, leading to frequent failures in the field. To address this issue, this study conducted load assessments in accordance with IEC 61400-2 standards, demonstrating their importance for ensuring reliability. In conclusion, this study achieved a comparison validation with SCADA data for small wind turbines, which had not been previously conducted, while also meeting design stability criteria. This research provides a foundation for accurate design methodologies and analysis approaches for small wind turbines.