Testing and research on topology identification technology for IoT-type low voltage distribution area

This paper centers on the core business application—the automatic topology identification in transformer areas—of distribution IoT with new energy as its mainstay. It proposes an automatic topology identification technology testing scheme that considers identification reliability， high identification accuracy， and anti-disturbance capability. Besides， a unique “edge-to-end” interaction test platform for the distribution IoT area is developed. Afterward， the functions and performance of the mainstream technical schemes of Zhejiang Electric Power Co.， Ltd. are evaluated in all aspects. The “active current injection plus frequency-domain signal detection” is selected as the optimal technical scheme for topology identification. The topology identification technology testing and research can lay the application foundation for the subsequent interconnection， intercommunication， and interoperability of the distribution IoT and the transformation of the distribution networks.