Risk Evaluation of Power Grid Investment Based on Logistic Regression Model

摘要

The power grid investment is affected by natural, economic, policy and many other uncertain factors. Long development cycle and large-scale funds are needed by the investment. Therefore, risk management is an important element in the process of power grid investment. In this paper, power sale price, power sale quantity, power purchase price and asset liability ratio are analyzed. Logistic theory is used to build risk evaluation model of the power grid investment. Case study suggests that the model is an efficient method to fit the risk evaluation of power grid investment projects, which can deal with many uncertain factors and evaluate the risk of projects.