Abstract: [Methods] With the gradual improvement of the carbon market and the carbon quota system for key enterprises, the coupled operation of the carbon and electricity markets has become an inevitable trend. As the largest source of carbon emissions, the optimization scheduling of coal-fired power units holds significant potential. [Methods] In this regard, this paper constructs a multi-objective optimization scheduling model among multiple coal-fired power units based on the operating conditions of carbon and electricity. [Results] Taking typical coal-fired power units in Anhui Province as a sample, the simulation example analysis is carried out. The results show that under the optimized scheduling method, the carbon emission level of coal-fired power units is reduced by about 35.73% on average. Compared with the single objective optimization scheduling results, the comprehensive effect of the optimized scheduling method is obvious. [Conclusions] In addition to providing technical support for the optimal dispatch of coal-fired power units in the carbon electricity dual market, the proposed method can also be used to evaluate the overall economic, environmental and social benefits of the dispatch strategy of coal-fired power unit clusters in provincial power grids in the carbon electricity coupled market.

Key words: carbon electric coupling, coal power unit scheduling, multi-objective optimization, carbon emissions, carbon market, euclidean distance, normalization