The Optimal Low Carbon Economic Dispatch Scheme Based on GRU and C&CG Models in the Context of Smart City Development

The transition to low-carbon energy and energy system optimization are essential for addressing global carbon emissions. To improve the quality of low-carbon economic dispatching, a forward-day low-carbon economic dispatching model considering liquid-storage carbon capture system and electric-gas coupling equipment is proposed. In the process, gated cycle unit and column and constraint generation algorithm are used to solve the model. The upper limit and ramp rate of the gas turbine power are calculated, and multiple constraints are established for the model. The fusion algorithm is used to solve the model and iterate to obtain the optimal day-ahead low-carbon economic scheduling scheme. The experimental results showed that the output power of thermal power units in all four scenes demonstrated consistent variation patterns, achieving significant output power values within the 21600s-64800s. For the output power of the liquid storage carbon capture unit, Scene 4 was below Scene 3. For the output power of P2G devices, Scenes 1 and 3 were 0, and Scene 4 was below Scene 2. The optimal volumes for P2G device and storage type carbon capture solution device was 150 × 106 W and 800000 kg, respectively. The study highlights the feasibility of combining carbon capture and conversion technologies for sustainable energy systems. This integrated approach not only reduces carbon emissions, but also improves energy efficiency and economic efficiency. The research can provide some technical reference for urban environmental protection.