Optimization strategy for multi-microgrid power sharing operation considering low-carbon characteristics
        
            ID:52
             Submission ID:93            View Protection:ATTENDEE
                            Updated Time:2023-11-20 13:45:37            Hits:351
            Oral Presentation
        
        
        
            Abstract
            Improving the utilization of renewable energy and transforming traditional microgrids into low-carbon ones are important means to achieve energy and power carbon peak and carbon neutrality goals. In this paper, we first construct a microgrid model that includes electric, thermal, and gas energy coordination, and introduce a carbon capture system into the cogeneration unit model to reduce carbon emissions. Then, a multi-microgrid power-sharing operation model is constructed according to the Nash negotiation principle, and thus discretized as the coalition benefit optimization sub-problem and the benefit distribution sub-problem. To safeguard each subject's identity, we use the distributed direction manifold technique. In the revenue redistribution sub-problem, we construct an asymmetric energy mapping contribution function to achieve reasonable revenue redistribution. The results show that this approach is efficient in cutting carbon output during microgrid operation while reducing operating costs, and has the advantage of reducing carbon emissions.
         
        
            Keywords
            Carbon capture; Cooperative game; Low-carbon optimal operation; Multi-microgrid; Nash bargaining;
         
        
        
                Submission Author
                
                    
                                
                                                                                                            
                                Mingcheng Dai
                                Huazhong University Of Science And Technology
                            
                                
                                    
                                                                    
                                Lee Li
                                华中科技大学
                            
                 
                     
        
     
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