Modeling And Optimization Of Inter-Regional Renewable Energy Trade Based On Cooperative Game

Increasing the penetration of renewable energy in power systems is crucial to achieve carbon neutrality and release the pressure of energy and environment.Renewable energy generation is assumed to be an uncontrolled and intermittent process,therefore,it’s difficult to balance demand and supply in high penetration of renewable energy.It will lead to power resources in waste or shortage.So,it is necessary to alleviate this imbalance through energy trading between regions.In this context,considering the characteristics of power transmission capacity limitation and multiparty transshipment in the energy trading,we should design an appropriate trading strategy to achieve the optimal allocation of energy.At the same time,it is also necessary to establish a beneficial and fair trading mechanism for each region to maintain a long-term and stable trading.Therefore,the rational design of the trading model is important to promote the consumption of renewable energy and balance the power supply and demand in various regions.To maximize the overall profit of the cooperative coalition,a renewable energy trading model based on cooperative game is constructed in this paper.Firstly,through analyzing the interest relationship between coalition members,this paper introduces cooperative game theory.Four protocol rules(CP1-CP4)related to individual interests and information security are proposed to ensure that trading is privacy-protected and brings benefits to coalition members.Secondly,the energy supply and demand of all parties is obtained,and the optimal allocation of energy under the capacity limit of power transmission lines through the network flow algorithm is realized.Next,a dynamic pricing strategy that is unanimously recognized and accepted by all parties in the game is formulated.The pricing strategy is based on the principle of maximizing green energy efficiency.Finally,a weighted Shapley value method considering environmental impact factors and contribution factors is designed for the gain distribution under the inter-regional renewable energy market trading,which can distribute the cooperative income more equitably.The simulation of the model is completed by MATLAB,and the efficiency and fairness of the trading model are analyzed based on the experimental results.The experimental results show that the inter-regional renewable energy trading model based on the cooperative game proposed in this paper further improves the traditional trading model.Our model greatly improves the cooperative surplus generated in the trading and realizes a fair distribution of benefits,thereby encourages coalition members to participate in trading more actively and maintain the stability and the sustainability of the coalition.