Research on wind power project investment risk evaluation based on fuzzy-gray clustering trigonometric function
Huiting Qiao, Shangyong Wen, Liangzheng Wu, Bing Zeng
Abstract
Under the goal of “Emission peak, carbon-neutral”, it has become an inevitable choice to build a new power system with new energy as the mainstay in the “14th Five-Year Plan” period. Wind power has become the hot spot of new energy development with its green, non-polluting, and renewable characteristics. In this paper, the investment risk evaluation index system of wind power projects is constructed for the investment risk characteristics of wind power projects, and the fuzzy-gray clustering trigonometric function comprehensive evaluation model is used to study the investment risk of wind power projects in China. The research results show that the risk evaluation index system constructed in this paper is reasonable, the evaluation results are consistent with the actual, and the evaluation method can be used as a reference tool for wind power project investment decisions.