Research on the development and application innovation of distribution automation full scene training device

With the advancement of the construction of new power systems, the distribution network is transforming towards the integration and interaction of source, grid, load, and storage. The skill requirements for operation and maintenance personnel are constantly increasing. Traditional distribution automation training relies on real equipment, which has problems such as low integration, disjointed links, high teaching staff consumption, and limited fault simulation, making it difficult to meet the needs of talent cultivation in the industry. This study focuses on this issue and innovatively develops a smart training device for distribution automation in all scenarios. Through practical application, the device has significantly improved training efficiency, solved traditional problems, expanded market space, effectively promoted the cultivation of distribution automation talents and industry development, and provided manpower and technical support for stable distribution network operation.