Optimal Scheduling of Microgrid Coupled with Carbon Capture Storage System using Multistage Evolutionary Algorithm

A microgrid coupled with a carbon capture and storage (CCS) system offers a promising solution for meeting energy demands while reducing carbon emissions. However, this system's objectives of minimizing operational costs and carbon emissions are inherently in conflict. To address this challenge, this paper proposes a multi-objective optimal scheduling model for the microgrid-CCS system, aiming to strike a balance between operational efficiency and environmental sustainability. Additionally,a novel multistage evolutionary algorithm (MSEA) is developed to solve this optimization problem. Experimental results demonstrate that MSEA performs excellently in handling the proposed multi-objective scheduling task. Moreover, MSEA is compared with several well-known algorithms for this engineering problem, and the comparison results highlight that MSEA outperforms other approaches, exhibiting strong competitive performance.