Optimized Operation of the Integrated Energy System Based on the Node Carbon Potential

The uncertainty of wind energy output makes it difficult to accurately track and quantify the carbon emissions on the power side, and the participation of the schedulable load will further increase the complexity of carbon emission optimization. For this purpose, this paper proposes a two-layer optimization scheduling strategy based on the demand response under source-load interaction. First of all, combined with the operation characteristics of wind power, hydro power and schedulable load, the proportional sharing principle is used to track carbon emissions, build a carbon flow model based on the dimension of time and space, perceive the carbon potential change of each node from its dimension, and efficiently and reasonably aggregate the random output scene set of the power grid under the random environment; Secondly, the carbon reduction potential of the load side is finely quantified, and the carbon flow analysis is introduced to construct the demand response model for carbon emission based on the node carbon potential. Finally, the pre-scheduling-re-dispatching of coordinated carbon reduction can realize the change of the carbon flow in the process of economic cost, solve the optimal economic scheduling of the system, and verify the effectiveness of the IEEE14 node system.