In the process of engineering design for large scale centralized PV generation, the optimum tilt angle of the fixed PV module directly affects the input and output of the whole PV systems, which directly relates to the revenue of the PV generations. The installation angel of the fixed PV components in PV generations is different, and the received effective solar radiation is different, and the power of PV generations is a big gap in a year. To this end, considering the many factors of the latitude and longitude, geographical environment, and the economy of the large scale centralized PV generations, the best angle method of PV generations is proposed to balance the regional transit information and the best cost-benefit, based on data clustering analysis. The effectiveness of this algorithm is verified by the application of a large area in the north of 174M PV power station, and comparing the calculation result with the PVsyst software.