The combined generation of renewable energy and traditional energy is the development trend of the future power grid. The pricing mechanism for different types of energy generation is an important issue in the research of smart grid. Considering multi-energy generation on supply side and power storage devices for users, a real-time pricing mechanism based on the social welfare maximization model was proposed, which took the interests of both supply and demand sides as well as carbon emission reduction into account. Lagrange dual algorithm was adopted to solve this problem and two global Lagrange multipliers were introduced as the corresponding shadow price, namely the optimal real-time electricity prices. Compared with fixed time-dependent pricing, the simulation results demonstrate that the proposed real-time pricing mechanism has a good performance in cutting peak and filling valley and improves social welfare, achieving good economic results.