Low-carbon Demand Response Study of Parks Based on Electric Carbon Factor Guidance

With the increasingly changing demands of urban economic growth, the integrated energy system of parks comes under wide public scrutiny, particularly the widespread problem of high carbon emission intensity. Hence, this paper proposes a low-carbon automatic demand response model for the park based on the guidance of the electric carbon factor, and on this basis, a minimum electric carbon factor is added as an objective to optimise the operation of the system. The INFO algorithm is used to optimise the model through the effect of air-conditioning loads in the experiments, and the results surface that the algorithm performs superiorly on the model, with strong convergence and less carbon emissions.