Differentiation degree combination weighting method for investment decision-making risk assessment in power grid construction projects

Abstract Power grid construction projects are distinguished by their wide variety, high investment, long payback period, and close relation to national development and human welfare. To improve the investment accuracy in such projects and effectively prevent investment risks, this paper proposes an investment optimization decision-making method for multiple power grid construction projects under a certain investment scale. Firstly, an in-depth analysis of the characteristics and development requirements of China’s power grid projects was performed. Thereafter, the time sequence and holographic method was adopted to conduct multi-dimensional, multi-perspective risk assessment of different parts of power grid projects, and a holographic risk assessment index system was developed. Moreover, an investment decision model considering the comprehensive risk based on combination weighting was developed according to the output and input of power grid construction projects. A new combination weighting optimization method that takes into account the investment willingness of enterprises was designed to improve the current weighting evaluation methods. Finally, the validity and applicability of the proposed evaluation method were verified by case examples.