Abstract:In order to solve the problem of users'' enthusiasm for participating in the power market operation and maximizing user''s revenue in the development of smart grids, this article uses the elasticity coefficient of demand price to characterize the change of user''s electricity consumption with electricity prices based on economic principles, and establishes a user load adjustment capability model under real-time electricity prices. Based on this model, the user-side power demand response model optimization strategy under real-time electricity prices is further studied, considering the user''s demand response under different response scenarios and different load regulation potentials. Solve the imbalance of power supply and demand between power supply and consumption, achieve positive user''s response and maximize user''s benefits, and improve system stability and security. Taking a demand response system in a certain place as an example, digital simulation is performed on users entering the spot market. The analysis of examples shows that the model can effectively improve the power load curve and reduce the user''s electricity purchase cost, and verifies the optimization effect of the power demand response optimization strategy based on real-time electricity prices.