Low carbon economy scheduling of integrated energy system considering the mutual response of supply and demand

The intermittency and uncertainty of new energy can easily lead to a mismatch between the supply and demand of energy, which limits the wide application of integrated energy systems. Based on these considerations, we propose an optimal scheduling model for an IES considering the bilateral interaction mechanism between supply and demand and the reward-penalty ladder type of carbon trading. Firstly, a CSP-P2G-CHP joint operation system is constructed based on the energy load demand and the operation characteristics of each piece of equipment. Secondly, an integrated demand response model considering customer comfort and the coupled response characteristics of hot and cold power demand is established by combining the price elasticity model of electric load with the inertia of the heat and cold load. A reward-penalty ladder type of carbon trading mechanism is introduced. Finally, the optimal dispatching model is established to minimize the total cost of the IES by calling the YALMIP toolbox through MATLAB and solving it using the GUROBI solver. The simulation results of eight cases show that the dual response of supply and demand can not only increase the coordination and optimization ability of the IES but also achieve the improvement of the system economy and promote the consumption of renewable energy based on ensuring the comfort of users. At the same time, considering the reward-penalty ladder type of carbon trading model can restrain the carbon emission of the system to a greater extent and synergize the low carbon and economy of the system.