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With the development of new power system construction, distribution network as an important part, its safe and stable operation is more important. In order to make the distribution network have self-identification, self-positioning and self-healing functions, it is necessary to study the decentralized autonomous technology of the distribution network, including the state assessment and fault location technology of distributed power supply. In this paper, the autonomous intelligent agent unit (IA) is designed based on digital twin technology, which has the functions of state assessment, fault location and isolation. Through IEEE33-node with distributed power supply and MA-PSO algorithm, the internal autonomy of IA is simulated and analyzed. The results show that the proposed scheme and algorithm are fast, accurate and referable.

According to the requirements of wireless communication in medium and low voltage distribution monitoring system, this paper designs a wireless signal networking method at medium and low voltage distribution side, and analyzes the networking mechanism between each protocol layer, including important wireless avoidance mechanism, networking mechanism of network layer and application layer. Aiming at the problem of network connectivity, a wireless networking algorithm based on optimal distance is proposed, and other common wireless networking algorithms are studied at the same time. The networking algorithms are simply evaluated and compared, and the advantages of this strategy in wireless networking are verified by experimental simulation and analysis.

Due to the large scale, large number of equipment and complex structure of distribution network, relying on manual maintenance of distribution network topology model has a huge workload and poor intuitiveness of model information, which is difficult to ensure the integrity and correctness of distribution network topology model. This paper presents an algorithm to improve the adaptability of multi scene feature signal recognition based on the smart switch core board, and designs the local communication interaction flow design based on topology recognition function from the station area intelligent terminal to the smart switch. The identification technology combining power frequency distortion and characteristic current is adopted. In the identification process, there is no need for the master station to participate in analysis and control. Multiple stations in the same community can be carried out concurrently to automatically identify the connection relationship between distribution network equipment and line topology, and dynamically build a clear and complete household transformer relationship and distribution network topology to help operation inspection, marketing The lean management level of distribution network such as regulation and control has been improved.

Many deployed terminal devices require high stability after equipment delivery, and the project cycle is short, the task is many, the time is tight, and the manpower is limited. At present, the test of this kind of equipment is carried out by the combination of manual configuration of test instruments and manual duty, and there are many problems. In order to reduce the test cost and promote the development of the industry, this paper studies the terminal evaluation method and system based on digital twin technology, realizes the simulation test of terminal function integrity, performance compliance, protocol standard compliance, compatibility, security and reliability at the virtual level, and selects the necessary test items. The application of project results can ensure the high scalability of terminal evaluation and reduce the waste of resources caused by unnecessary testing.