Research on the System Scheduling Strategy of Electric Heating Load with Carbon Price

Currently, it is a crucial alternative to use electric heating devices for warmth in cold regions. To enhance energy conservation and emission reduction effects of electric heating loads, a day-ahead low-carbon optimization scheduling strategy is proposed to incorporate demand response for electric heating loads. Firstly, the carbon emissions is analyzed on the user side of integrated energy systems and a carbon pricing model is put forth based on energy use carbon emission factors. Secondly, a day-ahead demand response framework is constructed for electric heating loads, considering the impacts of carbon pricing. Then, a day-ahead low-carbon optimization scheduling strategy is developed targeting maximal operational benefits incorporating electric heating demand response. Finally, case studies demonstrate that the proposed strategy not only achieves economical system operations but also improve the emission-reducing capabilities.