A historical data and multi-risk area based wind power integration system comprises a wind historical data input module, a small scale convolution based wind data analysis module, a sequence correlation analysis module, a large scale convolution based wind data analysis module, a multi-risk area wind power optimization result module and a wind power integration result output module with the risk expectation. According to the historical data and multi-risk area based wind power integration system, the wind power integration result can be integrated in four risk area levels which are changed step by step, users can select one of the four risk area levels based on the comprehensive evaluation of the risk and benefit bearing capability of a power grid according to the time and policy factors to serve as the result output of wind power integration, and accordingly the wind power integration result which is close to actual demands of the area, time and policy can be obtained and the foundation can be laid for pushing of the existing large number of wind power farms of the country towards the market, the practicability and the return on investment.