Low-carbon integrated energy system optimization dispatch considering wind and solar uncertainties

In efforts to mitigate global warming, reducing greenhouse gas emissions represented by carbon dioxide, this paper introduces a stepped carbon trading mechanism for local Integrated Energy Systems (IES) that are not yet engaged in carbon trading markets as a tool for carbon emission rights trading. To minimize both overall system costs and carbon trading expenses, we propose a refined Power-to-Gas (P2G) model that includes a waste heat recovery process. In addition, all gas-fired units within the IES are retrofitted to support low-carbon operations, and a coupled operation mode of carbon capture power plants and P2G is introduced. To manage uncertainties in wind and solar power output, Latin hypercube sampling and K-means clustering methods are employed. Simulation results demonstrate that the proposed scheduling strategy significantly reduces system operating costs while realizing an similar to 16.2% reduction in carbon emissions.