Research on Optimization of Power Grid Investment Decision Based on Grey Prediction Model

At present, the Investment Decision of power grid is mainly based on the judgment of macro-economic situation, with few researches on the investment constraints of power grid. The current power grid investment decision-making is mainly based on the macroeconomic development situation, with little research on the constraint relationship of power grid investment. Therefore, it is difficult to carry out a quantitative analysis of the effect of grid investment and fails to form specific guidance for the investment plan. This paper analyzes the relevant factors that affect the investment capacity of power grid enterprises from internal and external aspects, and uses the grey prediction model to calculate the investment demand of power grid companies, forming the investment restriction conditions. Based on this, this paper constructs a power grid investment coordination optimization model which is constrained by power grid investment demand and power grid investment capability. Based on the above, this paper builds a model for the coordination and optimization of grid investment demand and grid investment capacity. The model effectively improves the effectiveness and precision of grid investment and ensures the efficiency of grid investment. And a case study of investment optimization was carried out in Shandong Province as an example.