碳-绿证交易机制下计及分布式储能的虚拟电厂经济性分析OA

Under the dual-carbon goals,achieving the syner-gistic optimization of economic and environmental benefits in virtual power plants is crucial for the green transformation of the energy system.However,current research still faces two major challenges:the optimization models struggle to balance economic and environmental benefits simultaneously,and the solution methods tend to be conservative with poor conver-gence.To address these issues,a low-carbon economic dispatch model for virtual power plants incorporating distributed energy storage under a carbon-green certificate trading mechanism is proposed.First,moving beyond the limitations of single trading mechanisms,a risk-aware carbon-green certificate synergistic trading mechanism is constructed to maximize emission reduc-tion revenue and economic benefits.Second,leveraging the advantages of distributed energy storage in enhancing economic efficiency and renewable energy consumption rates,the potential of the carbon-green certificate mechanism is further exploited by establishing a diversified source virtual power plant optimization model that includes distributed storage.Finally,to overcome the conservativeness and poor conver-gence of traditional solution methods,the black-winged kite algorithm is introduced to improve solving efficiency.Simul-ation results demonstrate that the proposed model significantly increases the renewable energy consumption rate and net system profit while effectively reducing carbon emissions.Compared to a single carbon trading mechanism,it achieves up to a 33.9%increase in net profit and a 16.6%reduction in carbon emissions,with faster iteration speed and stronger convergence stability,validating the algorithm's effectiveness in handling high-dimensional nonlinear constrained problems.