Introduction  To promote the construction of photovoltaic power generation project in coal mine dump based on the concept of "desertification control with a PV project", and organically integrate ecological protection with green and efficient energy strategies to achieve the purpose of sound economic development and ecological environment governance.

  Method  The optimization of photovoltaic power generation project in a coal mine dump was taken as an example, in the original plan, a fully fixed support is used. After taking into account factors such as boundary line change, geological influence, and controllable construction progress, now a combination of fixed supports and flexible supports is adopted. In areas with relatively flat terrain, fixed supports are considered, and the flexible supports are mainly used for slopes and cross ditches (40%～45%) . Optimization is carried out based on factors such as fixed inclination angle, power generation efficiency, and spacing of PV strings. Option 1:The fixed support has an inclination angle of 16°, a flexible support fixed inclination angle of 4° in the east-west direction, and it is arranged on the slope in the south and slightly south directions. Option 2: the fixed support has an optimal inclination angle of 24° and a flexible support inclination angle of 19°.

  Result  The power generation in Option 1 is about 8 MWp higher than that of Option 2, and the total power generation is increased by 10%～15% in 25 years. The total efficiency of the power generation system in Option 1 reduces by about 2% compared to Option 2.

  Conclusion  The study has shown that the project optimization guarantees the installed capacity, safety, etc. At the same time, it's an innovation to arrange flexible supports on the slope of the coal mine dump in this project, so it serves as a model for future projects. In the process of project design optimization, we should not only consider the efficiency, but also pay more attention to the economic benefits brought by multi-objective factor optimization.