Optimal Configuration of Low-Carbon Rural Microgrid Based on Improved Ant Colony Optimization Algorithm

With the development and construction of low-carbon villages, agricultural production is gradually transforming to low-carbon, and the structure of energy network in rural areas urgently needs transformation. The establishment of low-carbon rural microgrid is a crucial way to realize the low-carbon transformation of energy network in rural areas. In order to enhance the economic efficiency of microgrid operation, it is necessary to adopt a scientific and efficient optimal configuration method in the planning stage. This paper applies an improved ant colony optimization algorithm to solve the optimal configuration problem of low-carbon rural microgrid. The optimal configuration model of low-carbon rural microgrid is established with the minimum annual total cost of the system as the objective function, and the optimal scheme of microgrid configuration is generated through simulation analysis. The simulation results demonstrate that the improved ant colony optimization algorithm exhibits fast convergence and high solution quality.