The proposal of dual carbon target has significantly accelerated the integration of green production and low-carbon development.Addressing the challenges of energy sharing and low-carbon operations in commercial parks

an electricity-carbon trading model tailored for charging stations

commercial buildings

and photovoltaic energy storage power stations is proposed. It highlights the complex energy and information flow dynamics among park entities

power trading centers

microgrid operators

and carbon trading centers. Distributed robust optimization is utilized to address the non-convex chance constraint problem in the electricity-carbon scheduling model for commercial parks

reformulating it as a semidefinite programming problem. The proposed method’s effectiveness in cost reduction and carbon emissions mitigation is validated using three distinct schemes. Finally

the proposed method is compared with the Conditional Value at Risk（CVaR）based linear programming approach. Results demonstrate that the distributed robust approach achieves superior alignment with actual scheduling scenarios in terms of decision-making accuracy.