Based on the background of the current electricity market and carbon trading market

aiming at the problems of insufficient consumption capacity and difficult peak shaving of regional power grids with new energy access

an optimal scheduling strategy of regional power grid electricity-carbon joint multilateral trading based on Nash negotiation is proposed. Firstly

considering improving the flexibility of multilateral trading in regional power grids

combined with carbon trading and power generation rights trading mechanisms

an electricity-carbon joint trading model is constructed. Secondly

considering the volatility of wind power

the demand method of wind power flexibility adjustment is adopted. According to the wind power curtailment and time period of day-ahead dispatching

a multi-agent peer-to-peer trading model of electricity-carbon joint is constructed. And then the model is decoupled into two sub-problems: maximizing the benefits of regional power grid alliance and reasonably allocating the benefits of electricity-carbon joint multilateral trading. The alternating direction method of multipliers is used for interactive decoupling to ensure the privacy security of each subject. In addition

in the fair distribution of benefits

the asymmetric bargaining method is selected to quantify the contribution of each subject in peer-to-peer transactions as a bargaining factor to achieve the purpose of fair distribution of benefits within the alliance. Finally

several different scenarios are set up to verify the low carbon and economy of the proposed method and model. The results show that the proposed method can promote the consumption of new energy and the improvement of flexible resource collaborative scheduling ability

and achieves the goal of energy saving and emission reduction.