Multi-Time Scale Low-Carbon Optimization of IES Considering Demand Response of Multi-Energy

Abstract

This paper proposes a multi-time scale low-carbon operation optimization strategy considering electricity gas heat hydrogen demand response and stepped carbon emission cost mechanism to realize the low-carbon economic operation of integrated energy system (IES). By optimizing the adjustability of the thermal power ratio of the coupling equipment, considering the stepped carbon emission cost mechanism, and weighing the hydrogen load demand beyond electricity, gas and heat, a multi-time scale optimization model with three stages of day ahead, intraday, rolling and real-time is established in this paper. In order to realize the rapid solution of the optimization problem, this paper takes the overall operation cost of IES, the cost of carbon emissions, and the cost of wind and light rejection as the economic goal, transforms the original nonlinear problem into a mixed integer linear problem, and calls the Gurobi solver to solve it. Finally, the effectiveness of the proposed strategy in promoting low-carbon operation, giving full play to the flexibility of system equipment and promoting clean energy consumption is verified by comparing and analyzing the optimization results of various situations through simulation.