Abstract
With the transformation of the traditional power system to a multi-energy coupling integrated energy system, the degree of electric-gas coupling on the user demand side is also increasing. It is crucial to construct an electric-gas coupled regional integrated energy system (RIES) to analyze and model the user's demand-side response behavior accurately. In this article, through building electrical coupling of the regional integrated energy optimization scheduling model, and the model of the initial energy prices and load data sent to the evolutionary game model, demand response based on the initial data by regional valuation for energy users, and in pursuit of maximum benefit as the goal, through replicator dynamics are applied to solve the revised agreement. The obtained evolutionary data are substituted into the established comprehensive energy optimization model. Finally, the demand response behavior of energy users is deduced through an example, and the influence of the evolved model on the system is analyzed. The simulation results show that this method can suppress the peak of the power grid and ensure the high efficiency of energy users.
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