Abstract: To effectively achieve the "Dual-carbon" goals,this paper proposes an optimization and scheduling method for combined heat and power microgrids（CHP-MG）considering the interaction between vehicles and the grid. To minimize the operating cost and carbon emissions of the microgrid,a CHPMG model is established,which takes into account the dynamic user demands and offers two modes: prioritizing electricity load demand and prioritizing heat load demand. Furthermore,an improved tree species optimization algorithm is proposed,where the population is divided into four parts to enhance global search efficiency. Additionally, with the introduction of withering process and position replacement mutation strategy, the algorithm enhances population diversity,avoids local optima,and improves convergence time and optimization performance.The simulation results using the case study of Northeast England demonstrate that the improved algorithm outperforms the original tree species optimization algorithm in terms of optimization results and convergence time.