Distributed Energy Sharing Network Equilibrium in Industrial Parks Under Carbon Emissions Trading Mechanism

In order to study how the production network, energy network, and carbon trading network interact with each other in the process of distributed energy sharing in industrial parks under the carbon emissions trading mechanism, this paper constructs a supernetwork model of distributed energy sharing in industrial parks by using variational inequality, analyzes the behavioral patterns of each participant in the pursuit of their own interests and their impact on the equilibrium state of the network, and obtains the conditions for the network to reach an equilibrium state. Then, the projection correction algorithm is applied to solve the model in equilibrium, and the optimal decisions of product trading volume, distributed energy low carbon level, and carbon trading are obtained. Finally, through numerical examples, the influence of the carbon cap and carbon trading price on the network equilibrium decision is analyzed. The results show that the government’s elevation of the carbon emission cap for enterprises will reduce the enthusiasm for distributed energy sharing in industrial parks and expand the polarization of enterprise profits. A higher carbon trading price will increase the carbon trading cost of enterprises, which has a negative impact on distributed energy sharing in industrial parks.