Real-Time Demand Response Multi-Energy Trading Strategy in Multiseller-Multibuyer Smart Distribution Grid

The energy crisis caused by the shortage of traditional fossil fuels has greatly promoted the development of multi-energy resources and prompted the great changes in the energy load structure of users, so a new multibuyer-multiseller multi-energy trading framework based on real-time demand response in smart distribution grid is proposed in this paper. During the process of the multi-energy trading, the price competitions among the sellers are modeled as two non-cooperative games. The seller selection competition among the users is modeled as an evolutionary game. The interaction among the sellers and buyers is modeled as a Stackelberg game. Two iterative algorithms are proposed to obtain a Stackelberg equilibrium strategy, which maximizes the benefits of all electricity utility companies (EUCs), gas utility companies (GUCs) and users. Simulation results show that the real-time demand response strategy proposed in this paper can not only reduce the peak demand, reduce the electricity generation cost of EUCs and the gas production cost of GUCs, but also increase the benefits of users.