In recent years, with the internal and external operations such as policy supervision, power reform, macroeconomic and big data technology development, etc.With the change of environment, the business model and profit model of power grid enterprises are deepening, and the demand for investment is more diversified and complicated. Power grid plays an important role in promoting carbon emission reduction in the whole power industry, and it is the hub connecting power plants and users. With the future environmental objectives becoming the main objectives of electric power enterprises, electric power enterprises need to evaluate and analyze various factors in their investment activities. In this paper, several indicators affecting the development of power grid are selected from three aspects: social performance, economic performance and environmental performance. Based on the big data of electric power, the correlation degree between each indicator and power grid investment is obtained by using the grey correlation analysis method, and finally the key indicators affecting power grid investment are obtained.