Optimized Scheduling of Integrated Energy Systems with Integrated Demand Response and Liquid Carbon Dioxide Storage

Energy storage technology can well reduce the impact of large-scale renewable energy access to the grid, and the liquid carbon dioxide storage system has the characteristics of high energy storage density and carries out a variety of energy supply, etc. Therefore, this paper proposes an integrated energy system (IES) containing liquid carbon dioxide storage and further exploits the demand-side regulation potential on the basis of which an integrated demand response model is proposed to consider the cooling, heating, and electricity loads. On this basis, an IES optimal scheduling model with the lowest total system operating cost as the objective function is established, the Yalmip toolbox and Cplex commercial solver are used to solve the algorithms, and the optimal scheduling results are obtained for electricity, heat, and cold under four scenarios, and it is proved through comparative analyses that the model and scheduling strategy established in this paper can optimize the load profile, realize peak shaving and valley filling, and have good economic benefits. Then, by analyzing the impact of the initial pressure of the high-pressure storage tank and fluctuating electricity price on the liquid carbon dioxide energy storage system, the system model established in this paper has good stability. Finally, for the comprehensive demand response model established in this paper, the impact of the demand response of different types of loads on the economy of the system is analyzed in depth from the perspective of economic benefits.