Risk Assessment Method and Application of Renewable Energy System Based on the Background of Low-carbon Economy

Abstract

Energy development has a crucial impact on social progress. Renewable energy power generation has achieved good economic and environmental benefits, and will certainly play an important role in the future energy structure. The purpose of this paper is to study risk assessment methods for renewable energy systems and their applications in the context of a low-carbon economy. The grey relational clustering analysis method is used to attempt to regionally cluster the vulnerability of renewable energy in each province. By introducing risk preference, this paper discusses the impact of different decision makers' risk awareness on the assessment results. The classification results show that the renewable energy vulnerability indicators selected in this paper have good discrimination and representativeness, and can be used as the indicator system of the vulnerability comprehensive decision-making assessment model for decision-making analysis and regional vulnerability comparative analysis.