In response to the challenges that the environmental value of green electricity is deficient in quantitative evaluation and not adequately reflected in market-clearing models

this study focuses on the context of inter-provincial centralized bidding transactions for green electricity. A new green electricity trading model that centres on environmental values is designed

and a quantitative evaluation model for green electricity's environmental value and a clearing method are established. Firstly

based on the current green electricity trading model

an environmental price allocation link is added

and a new green electricity trading model centred on environmental value is constructed. Under this model

the environmental value of green electricity is fully quantified through two concepts: the Carbon Offset Adjustment Coefficient and the Provincial Virtual Regulatory Unit. Subsequently

based on the quantitative assessment results of environmental value

a transaction clearing model that incorporates environmental value is established with the optimization objectives of maximizing environmental value and maximizing social welfare; NSGA-II(Non-Dominated Sorting Genetic Algorithm II)is employed to solve the model. Finally

the computational examples demonstrate that the proposed quantitative evaluation model and clearing method can effectively distinguish the power quality of different new energy power generators

allocate a larger share of electricity to high-quality generators

and significantly increase the environmental value generated by green power transactions while ensuring a reasonable and controllable social welfare level.