Carbon reduction accounting based on low-carbon demand response scheduling strategy

To mitigate the greenhouse effect, promote the implementation of the Paris Agreement, and achieve the "dual carbon" goals, reducing global carbon emissions has become an urgent imperative. The power sector, which relies heavily on fossil fuels, is a major contributor to carbon emissions. Therefore, the low-carbon transformation of the power system has emerged as a critical strategy for meeting the "dual carbon" objectives. Much of the existing research has focused on developing carbon reduction technologies and strategies on the supply side, many of which require substantial financial investment. This means that their feasibility and sustainability in practical applications need further investigation. Furthermore, there is limited research on user-side carbon reduction strategies, and the perspectives are relatively limited. This paper proposes a low-carbon demand response (DR) strategy for optimizing low-carbon scheduling in integrated energy systems (IES), considering both flexible load on the user side and system operation costs. The proposed model is implemented in MATLAB, with the power system of an industrial park serving as a case study. Example data is used, and the CPLEX solver is employed to obtain the solution. The results demonstrate the effectiveness and feasibility of the proposed scheduling strategy in reducing the peak-to-valley load demand discrepancy and lowering carbon emissions.