An Optimized Grt Model with Blockchain Digital Smart Contracts for Power Generation Enterprises

This paper aims to solve the problems of low security and weak carbon-electricity linkage in traditional generation rights trading (GRT). Using transactional data of power generation enterprises of Chinese different provinces, we established a weakly centralized structure of GRT and introduced carbon emission factors to improve the GRT model. It is found that our proposed model can minimize carbon emissions of power generation enterprises and achieve the maximum economic benefits under the modified coal consumption scenario, thus outperforming the benchmark model. The contribution of this paper is to make up for the existing research that cannot fully consider the impact of carbon peaking and carbon neutrality on the GRT market, and the information security issues brought about by big data transactions on the GRT platform. This paper proposes some policy implications for the decarbonization of the electricity market and the green development advocated by the Chinese government