In the future

smart grid users can not only consume energy

but also sell energy to the grid through distributed energy resources. The real-time pricing mechanism based future smart grid is proposed as the background of the research. Rules are designed for users to supply and merge energy by referring to real-time pricing and virtual power plant technology. Considering the variety of users’ game behavior

bidding tactics are designed and studied. And by referring to the optimization objectives of commercial and technical virtual power plants

a future smart grid users’ grid connection model for multiobjective optimization is developed. In addition

through the multi-start variable neighborhood descent method and local search algorithm

a IEEE 118-bus standard test system is used to simulate a regional grid. The calculation results of numerical simulation have verified the effectiveness of the model and algorithm. This work is supported by National Natural Science Foundation of China (No.71401125) and Specialized Research Fund for the Doctoral Program of Higher Education of China (No. 20130072110045).