Low Carbon Economic Dispatch of Integrated Energy System Based on Improved Stepped Incentive-Based Demand Response

For the purpose of optimizing the scheduling strategy of the integrated energy system by exploit the potential of demand-side resources, and to realize carbon reduction and emission reduction while achieving economically efficient operation of integrated energy systems, this study constructs a model of the integrated energy system operation with an improved stepped incentive-based demand response mechanism and the model assigns commodity properties to carbon emissions. Firstly, this study establishes the corresponding mathematical models of gas turbine, gas boiler and two-stage power-to-gas conversion. Secondly, the stepped carbon trading(SCT) mechanism is introduced to constrain the CO
2
generated by the system. Finally, the incentive-based demand response mechanism is introduced, and the particle swarm algorithm is used to improve the parameters of the demand response mechanism with the goal of minimizing the sum of all types of costs incurred in the operation of the system. The CPLEX solver is used to solve the linearly processed model, and it is verified that the proposed scheduling strategy is able to significantly reduce the CO
2
generated by the system and operation cost of the system by setting up a variety of different cases for comparison.