In recent years, research on digital twin technology has gradually expanded into the field of power communication, with some studies focusing on digital twin model construction and virtual-real mapping capabilities, while others explore multi-path routing optimization techniques. However, their application in dynamic fault recovery remains limited. A detour routing reconfiguration method based on digital twin is proposed. By constructing a digital twin model of the power communication network, the link parameters and communication devices are analyzed. The proposed method enables real-time network monitoring and automatic fault detection. Additionally, an Improved Genetic Algorithm(IGA) is employed in the rerouting planning process, fully considering link delay, bandwidth, and power service priorities, ensuring the accuracy and efficiency of detour path selection. Experimental results demonstrate that the integration of digital twin technology and the improved genetic algorithm significantly reduces fault recovery time, improves communication quality, and enhances network adaptability, providing reliable technical support for the safe operation of power grids.