Distributed Generation Low-Carbon Trading Strategy Based on Cooperative Game Nucleolus Method

Abstract

Distributed generation transaction stimulates the demand response potential of users and promotes the near-end of energy consumption. However, the existing models lack research on distributed transaction algorithms. In this paper, a nucleolus model for profit allocation of distributed generation transactions is proposed first. Based on the model, a low-carbon trading strategy suitable for distributed users is proposed considering the differences in carbon emissions between different distributed power sources. The trading strategy is designed for individual users and is suitable for both power purchasers and sellers. Then, trading mechanism is designed for distributed transaction. According to the size of the quotation differences, the transaction objects are selected and the transaction volumes are determined. Finally, the low-carbon strategy is carried out under the mechanism. It is shown that the strategy satisfies the individual and the overall rationality and promote low-carbon transaction.