This paper proposes a two-stage robust-cooperative game optimization scheduling method based on carbon-green certificate trading to improve the integrated source-network-load-storage system's resource regulation potential and risk avoidance capability. Under the peak

energy and standby market scenarios

a multi-scenario source-network-load-storage system architecture based on the coupled carbon-green certificate trading mechanism is constructed through the stepped carbon trading price and renewable energy quota model

which promotes carbon emission reduction and renewable energy consumption; the multi-scenario source-network-load-storage two-phase robust-cooperative game optimization method under the worst conditions is established by mining the profitability relationship between the source-network-load-storage interest bodies

combining the new energy output and load uncertainty. A two-stage robust-cooperative game model for load and storage is developed

and the model is solved using the Inexact Column-and-Constraint Generation (i-C&CG) algorithm. The effectiveness of this method is verified by the simulation example of a domestic power company's actual operation data. The simulation results show that the carbon emissions obtained by the method of this paper have been reduced by 4.297t

the total system cost has been reduced by 22.90%

the new energy consumption rate has reached 100%

and the load shortage rate has been reduced by 8.54%

which provides a theoretical basis for the low-carbon and economic operation of the source-network-load-storage system.