In view of the traditional welfare maximization model only maximizing the user utility, the electricity supplier's revenue is very low. From the perspective of fairness, this paper first considers the two power system participants, and establishes the real-time pricing revenue equilibrium model of smart grid. Then it uses the particle swarm optimization algorithm to solve the problem when meeting the constraints. The simulation results show that compared with the traditional welfare maximization model, the revenue equilibrium model considering fairness not only balances the benefits of the two, but also makes the social resource allocation more reasonable. At the same time, it effectively decreases the total load of electricity in each period, which all shows the model is effective. This work is supported by National Natural Science Foundation of China (No. 71572113).