YOU Shengran, LI Zhenkun. Low-carbon Optimal Dispatch for Community Integrated Energy Systems Considering Dynamic Carbon Thresholds and Demand ResponseJ. Modern Electric Power. DOI: 10.19725/j.cnki.1007-2322.2024.0298
Citation: YOU Shengran, LI Zhenkun. Low-carbon Optimal Dispatch for Community Integrated Energy Systems Considering Dynamic Carbon Thresholds and Demand ResponseJ. Modern Electric Power. DOI: 10.19725/j.cnki.1007-2322.2024.0298

Low-carbon Optimal Dispatch for Community Integrated Energy Systems Considering Dynamic Carbon Thresholds and Demand Response

  • With the advancement of carbon emission reduction, how to achieve low-carbon development has become an inevitable consideration in the optimization of the intergated energy system. To fully harness the carbon reduction potential of the community integrated energy systems, a carbon emission demand response model for carbon emission reduction on both the energy equipment side and the load side is proposed. A dynamic carbon threshold is established to limit the system’s carbon emissions, and the carbon emission factor is incorporated into the time-of-use electricity price and natural gas price as a penalty coefficient, aiming to encourage low-carbon demand response on the load side. First, a pre-scheduling model of energy equipment is developed to implement price-based demand response with incentives for wind and solar consumption. Secondly, the carbon emissions and dynamic carbon emission factor information of the pre-scheduling results on the energy equipment side are transmitted to the user side. A dynamic carbon threshold is then set up to guide the load side to conduct rescheduling for low-carbon demand response. The CPLEX solver is called, while the pre-scheduling aims to minimize the total cost and the re-scheduling aims to maximize the user's energy efficiency. Finally, simulation results demonstrate that the proposed method can reduce carbon emissions by 6.2% and lower the total system cost by 3.5%.
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